typical marketing research presentation includes

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9 Key stages in your marketing research process

You can conduct your own marketing research. Follow these steps, add your own flair, knowledge and creativity, and you’ll have bespoke research to be proud of.

Marketing research is the term used to cover the concept, development, placement and evolution of your product or service, its growing customer base and its branding – starting with brand awareness , and progressing to (everyone hopes) brand equity . Like any research, it needs a robust process to be credible and useful.

Marketing research uses four essential key factors known as the ‘marketing mix’ , or the Four Ps of Marketing :

• Product (goods or service)
• Price ( how much the customer pays )
• Place (where the product is marketed)
• Promotion (such as advertising and PR)

These four factors need to work in harmony for a product or service to be successful in its marketplace.

The marketing research process – an overview

A typical marketing research process is as follows:

• Identify an issue, discuss alternatives and set out research objectives
• Develop a research program
• Choose a sample
• Gather information
• Gather data
• Organize and analyze information and data
• Present findings
• Make research-based decisions
• Take action based on insights

Step 1: Defining the marketing research problem

Defining a problem is the first step in the research process. In many ways, research starts with a problem facing management. This problem needs to be understood, the cause diagnosed, and solutions developed.

However, most management problems are not always easy to research, so they must first be translated into research problems. Once you approach the problem from a research angle, you can find a solution. For example, “sales are not growing” is a management problem, but translated into a research problem, it becomes “ why are sales not growing?” We can look at the expectations and experiences of several groups : potential customers, first-time buyers, and repeat purchasers. We can question whether the lack of sales is due to:

• Poor expectations that lead to a general lack of desire to buy, or
• Poor performance experience and a lack of desire to repurchase.

This, then, is the difference between a management problem and a research problem. Solving management problems focuses on actions: Do we advertise more? Do we change our advertising message? Do we change an under-performing product configuration? And if so, how?

Defining research problems, on the other hand, focus on the whys and hows, providing the insights you need to solve your management problem.

Step 2: Developing a research program: method of inquiry

The scientific method is the standard for investigation. It provides an opportunity for you to use existing knowledge as a starting point, and proceed impartially.

The scientific method includes the following steps:

• Define a problem
• Develop a hypothesis
• Make predictions based on the hypothesis
• Devise a test of the hypothesis
• Conduct the test
• Analyze the results

This terminology is similar to the stages in the research process. However, there are subtle differences in the way the steps are performed:

• the scientific research method is objective and fact-based, using quantitative research and impartial analysis
• the marketing research process can be subjective, using opinion and qualitative research, as well as personal judgment as you collect and analyze data

Step 3: Developing a research program: research method

As well as selecting a method of inquiry (objective or subjective), you must select a research method . There are two primary methodologies that can be used to answer any research question:

• Experimental research : gives you the advantage of controlling extraneous variables and manipulating one or more variables that influence the process being implemented.
• Non-experimental research : allows observation but not intervention – all you do is observe and report on your findings.

Step 4: Developing a research program: research design

Research design is a plan or framework for conducting marketing research and collecting data. It is defined as the specific methods and procedures you use to get the information you need.

There are three core types of marketing research designs: exploratory, descriptive, and causal . A thorough marketing research process incorporates elements of all of them.

Exploratory marketing research

This is a starting point for research. It’s used to reveal facts and opinions about a particular topic, and gain insight into the main points of an issue. Exploratory research is too much of a blunt instrument to base conclusive business decisions on, but it gives the foundation for more targeted study. You can use secondary research materials such as trade publications, books, journals and magazines and primary research using qualitative metrics, that can include open text surveys, interviews and focus groups.

Descriptive marketing research

This helps define the business problem or issue so that companies can make decisions, take action and monitor progress. Descriptive research is naturally quantitative – it needs to be measured and analyzed statistically , using more targeted surveys and questionnaires. You can use it to capture demographic information , evaluate a product or service for market, and monitor a target audience’s opinion and behaviors. Insights from descriptive research can inform conclusions about the market landscape and the product’s place in it.

Causal marketing research

This is useful to explore the cause and effect relationship between two or more variables. Like descriptive research , it uses quantitative methods, but it doesn’t merely report findings; it uses experiments to predict and test theories about a product or market. For example, researchers may change product packaging design or material, and measure what happens to sales as a result.

Step 5: Choose your sample

Your marketing research project will rarely examine an entire population. It’s more practical to use a sample - a smaller but accurate representation of the greater population. To design your sample, you’ll need to answer these questions:

• Which base population is the sample to be selected from? Once you’ve established who your relevant population is (your research design process will have revealed this), you have a base for your sample. This will allow you to make inferences about a larger population.
• What is the method (process) for sample selection? There are two methods of selecting a sample from a population:

1. Probability sampling : This relies on a random sampling of everyone within the larger population.

2. Non-probability sampling : This is based in part on the investigator’s judgment, and often uses convenience samples, or by other sampling methods that do not rely on probability.

• What is your sample size? This important step involves cost and accuracy decisions. Larger samples generally reduce sampling error and increase accuracy, but also increase costs. Find out your perfect sample size with our calculator .

Step 6: Gather data

Your research design will develop as you select techniques to use. There are many channels for collecting data, and it’s helpful to differentiate it into O-data (Operational) and X-data (Experience):

• O-data is your business’s hard numbers like costs, accounting, and sales. It tells you what has happened, but not why.
• X-data gives you insights into the thoughts and emotions of the people involved: employees, customers, brand advocates.

When you combine O-data with X-data, you’ll be able to build a more complete picture about success and failure - you’ll know why. Maybe you’ve seen a drop in sales (O-data) for a particular product. Maybe customer service was lacking, the product was out of stock, or advertisements weren’t impactful or different enough: X-data will reveal the reason why those sales dropped. So, while differentiating these two data sets is important, when they are combined, and work with each other, the insights become powerful.

With mobile technology, it has become easier than ever to collect data. Survey research has come a long way since market researchers conducted face-to-face, postal, or telephone surveys. You can run research through:

• Social media ( polls and listening )

Another way to collect data is by observation. Observing a customer’s or company’s past or present behavior can predict future purchasing decisions. Data collection techniques for predicting past behavior can include market segmentation , customer journey mapping and brand tracking .

Regardless of how you collect data, the process introduces another essential element to your research project: the importance of clear and constant communication .

And of course, to analyze information from survey or observation techniques, you must record your results . Gone are the days of spreadsheets. Feedback from surveys and listening channels can automatically feed into AI-powered analytics engines and produce results, in real-time, on dashboards.

Step 7: Analysis and interpretation

The words ‘ statistical analysis methods ’ aren’t usually guaranteed to set a room alight with excitement, but when you understand what they can do, the problems they can solve and the insights they can uncover, they seem a whole lot more compelling.

Statistical tests and data processing tools can reveal:

• Whether data trends you see are meaningful or are just chance results
• Your results in the context of other information you have
• Whether one thing affecting your business is more significant than others
• What your next research area should be
• Insights that lead to meaningful changes

There are several types of statistical analysis tools used for surveys. You should make sure that the ones you choose:

• Work on any platform - mobile, desktop, tablet etc.
• Integrate with your existing systems
• Are easy to use with user-friendly interfaces, straightforward menus, and automated data analysis
• Incorporate statistical analysis so you don’t just process and present your data, but refine it, and generate insights and predictions.

Here are some of the most common tools:

• Benchmarking : a way of taking outside factors into account so that you can adjust the parameters of your research. It ‘levels the playing field’ – so that your data and results are more meaningful in context. And gives you a more precise understanding of what’s happening.
• Regression analysis : this is used for working out the relationship between two (or more) variables. It is useful for identifying the precise impact of a change in an independent variable.
• T-test is used for comparing two data groups which have different mean values. For example, do women and men have different mean heights?
• Analysis of variance (ANOVA) Similar to the T-test, ANOVA is a way of testing the differences between three or more independent groups to see if they’re statistically significant.
• Cluster analysis : This organizes items into groups, or clusters, based on how closely associated they are.
• Factor analysis: This is a way of condensing many variables into just a few, so that your research data is less unwieldy to work with.
• Conjoint analysis : this will help you understand and predict why people make the choices they do. It asks people to make trade-offs when making decisions, just as they do in the real world, then analyzes the results to give the most popular outcome.
• Crosstab analysis : this is a quantitative market research tool used to analyze ‘categorical data’ - variables that are different and mutually exclusive, such as: ‘men’ and ‘women’, or ‘under 30’ and ‘over 30’.
• Text analysis and sentiment analysis : Analyzing human language and emotions is a rapidly-developing form of data processing, assigning positive, negative or neutral sentiment to customer messages and feedback.

Stats IQ can perform the most complicated statistical tests at the touch of a button using our online survey software , or data from other sources. Learn more about Stats iQ now .

Step 8: The marketing research results

Your marketing research process culminates in the research results. These should provide all the information the stakeholders and decision-makers need to understand the project.

The results will include:

• all your information
• a description of your research process
• the results
• conclusions
• recommended courses of action

They should also be presented in a form, language and graphics that are easy to understand, with a balance between completeness and conciseness, neither leaving important information out or allowing it to get so technical that it overwhelms the readers.

Traditionally, you would prepare two written reports:

• a technical report , discussing the methods, underlying assumptions and the detailed findings of the research project
• a summary report , that summarizes the research process and presents the findings and conclusions simply.

There are now more engaging ways to present your findings than the traditional PowerPoint presentations, graphs, and face-to-face reports:

• Live, interactive dashboards for sharing the most important information, as well as tracking a project in real time.
• Results-reports visualizations – tables or graphs with data visuals on a shareable slide deck
• Online presentation technology, such as Prezi
• Visual storytelling with infographics
• A single-page executive summary with key insights
• A single-page stat sheet with the top-line stats

You can also make these results shareable so that decision-makers have all the information at their fingertips.

Step 9 Turn your insights into action

Insights are one thing, but they’re worth very little unless they inform immediate, positive action. Here are a few examples of how you can do this:

• Stop customers leaving – negative sentiment among VIP customers gets picked up; the customer service team contacts the customers, resolves their issues, and avoids churn .
• Act on important employee concerns – you can set certain topics, such as safety, or diversity and inclusion to trigger an automated notification or Slack message to HR. They can rapidly act to rectify the issue.
• Address product issues – maybe deliveries are late, maybe too many products are faulty. When product feedback gets picked up through Smart Conversations, messages can be triggered to the delivery or product teams to jump on the problems immediately.
• Improve your marketing effectiveness - Understand how your marketing is being received by potential customers, so you can find ways to better meet their needs
• Grow your brand - Understand exactly what consumers are looking for, so you can make sure that you’re meeting their expectations

Free eBook: Quantitative and qualitative research design

Scott Smith

Scott Smith, Ph.D. is a contributor to the Qualtrics blog.

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Market research presentation: A comprehensive guide

This comprehensive guide covers everything from choosing the right topic to delivering with confidence.

Raja Bothra

Building presentations

Ever wondered what goes into creating a killer market research presentation that not only impresses your stakeholders but also provides valuable insights?

You're in the right place.

In this comprehensive guide, we'll dive deep into the world of market research presentations, dissecting everything from what they are to how to create one that stands out.

How do you explain market research?

Before we jump into the nitty-gritty of market research presentations, let's start with the basics – what is market research?

Market research is the process of gathering, analyzing, and interpreting data about a particular market, industry, or consumer group. It's the compass that guides businesses in making informed decisions.

Market research comes in various forms: quantitative and qualitative. Quantitative research involves collecting numerical data, while qualitative research focuses on understanding the why and how behind consumer behavior. Both are crucial components of effective market research.

What is a market research presentation?

Now that we have a clear understanding of market research, let's move on to market research presentations. A market research presentation is the culmination of your research efforts, a visual and data-driven representation of your findings. It's the bridge that connects your research to your stakeholders, making it easier for them to grasp the insights you've gathered.

A well-crafted market research presentation is not just a collection of slides; it's a storytelling platform. It should engage your audience, present data in an understandable manner, and ultimately guide your stakeholders towards informed decision-making.

What to include in a market research presentation?

Creating a market research presentation involves more than just inserting a few charts and graphs. To ensure your presentation hits the mark, here are some essential elements to include:

1. Market research overview

• Define the purpose and objectives of your research.
• Provide a brief overview of the market you've studied.

2. Methodology

• Explain how you conducted your research, whether through surveys, data analysis, or other methods.
• Discuss any challenges you faced and how you overcame them.

3. Key findings

• Highlight the most significant discoveries from your research.
• Use charts, graphs, and infographics to visualize data.

4. Market analysis

• Dive deep into your market analysis, discussing trends, competition, and market share.
• Share insights that can impact the business.

5. Recommendations

• Based on your findings, provide actionable recommendations.
• Discuss the pros and cons of each recommendation.

6. Conclusion

• Summarize the core points of your presentation.
• Emphasize the key takeaways for your audience.

How to structure a market research presentation

Structuring a market research presentation effectively is essential to convey your findings and insights clearly to your audience. Whether you're presenting to stakeholders, colleagues, or clients, a well-structured presentation can make your data more understandable and impactful. Here's a suggested structure for a market research presentation:

1. Title slide

• Title of the Presentation
• Your Name and Affiliation
• Date of the Presentation
• Briefly outline what you will cover in the presentation. This gives your audience a roadmap of what to expect.

3. Introduction

• Provide a brief overview of the purpose and context of your market research.
• Explain why the research was conducted and its relevance.

4. Background and objectives

• Describe the background information, including any relevant industry trends or developments.
• Clearly state the research objectives and what you aimed to achieve.

5. Methodology

• Explain the research methods and techniques used.
• Discuss the data collection process, sample size, and any limitations.

6. Data collection

• Present the findings from your research.
• Use charts, graphs, and visuals to make data more accessible.
• Highlight key insights and trends.

7. Analysis and interpretation

• Explain the significance of the findings.
• Interpret the data and provide insights.
• Address any unexpected or interesting observations.

8. Competitor analysis

• Analyze the competitive landscape in your market.
• Highlight strengths, weaknesses, opportunities, and threats (SWOT analysis) for your company and competitors.

9. Consumer insights

• Share any insights into customer preferences, needs, and behaviors.
• Explain how these insights impact your business.

10. Recommendations

• Based on your research, provide actionable recommendations.
• Highlight strategies or changes that should be implemented.

11. Implementation plan

• If applicable, outline a plan for implementing the recommendations.
• Include timelines, responsibilities, and resources needed.

12. Conclusion

• Summarize the key points of your presentation.
• Reiterate the importance of the research.

13. Q&A session

• Open the floor for questions and discussion.

14. Appendix

• Include any supplementary information, detailed data, or additional charts and graphs.
• Ensure that this information is easily accessible but not essential for understanding the main presentation.

15. Contact information

• Provide your contact information in case the audience has further questions or needs clarification.

16. Thank you slide

• Express your gratitude for the audience's time and attention.

Remember to keep your presentation clear, concise, and visually engaging. Use visuals sparingly but effectively to support your points. Practice your delivery to ensure that you can explain the findings and recommendations confidently. Tailor the presentation to the needs and interests of your specific audience.

Do’s and don'ts on a market research presentation

To ensure your market research presentation hits the mark, here are some do's and don'ts to keep in mind:

• Do your research: Know your subject matter inside out.
• Do use visuals: Incorporate charts, graphs, and infographics.
• Do engage your audience: Encourage questions and discussions.
• Do practice: Rehearse your presentation until you're confident.

Don'ts:

• Don't overwhelm with data: Keep it concise and focused.
• Don't read slides: Speak naturally and use slides as visual aids.
• Don't rush: Take your time; clarity is key.
• Don't ignore questions: Address all queries from your audience.

Summarizing key takeaways

In this comprehensive guide, we've covered the ins and outs of creating and presenting a market research presentation. From understanding the basics of market research to crafting engaging presentations, you now have the knowledge to excel in this essential aspect of business strategy.

• Market research essentials: Market research is the process of gathering, analyzing, and interpreting data about a specific market, industry, or consumer group. It provides the foundation for informed decision-making in business.
• The role of market research presentations: A market research presentation is a visual and data-driven representation of research findings. It serves as a bridge between your research and stakeholders, helping them understand and act upon the insights you've gathered.
• Elements of a great presentation: A well-crafted market research presentation includes an overview, methodology, key findings, market analysis, recommendations, and a concise conclusion. These elements help structure your presentation effectively.
• Presentation delivery matters: Knowing your audience, practicing your presentation, engaging your audience, using visuals effectively, and being concise are all crucial for a successful presentation.
• Do's and don'ts: Do your research thoroughly, use visuals to enhance understanding, engage with your audience, and practice your delivery. Avoid overwhelming with data, reading slides, rushing through your presentation, and ignoring audience questions.

Remember, an effective market research presentation isn't just about showcasing data; it's about telling a compelling story that guides decision-making. So, use the power of visuals, engage your audience, and deliver insights that make a real impact.

1. Why is using a market research presentation template important?

Using a market research presentation template can streamline your research process. It provides a structured framework in powerpoint ppt with graphs and charts that help you present the results effectively. You can easily download a market research presentation template to make your presentation look professional and save time in creating a presentation design.

2. How can I effectively communicate market trends in my presentation?

To effectively communicate market trends in your presentation, start your presentation by explaining the research process and how you conducted market research. Use market research powerpoint (ppt) slides with graphs and charts to show key pieces of information. Connect the dots between the data and present the results using the market research PowerPoint template. This will make your presentation more engaging for your audience.

3. Why is market research essential for launching a new product or service?

Market research is essential when you want to present a new product or service idea to your core business audience. By conducting market research, you gather valuable insights about your target market, which can be used to create your presentation. A well-designed research ppt can make the best case for your business idea by showcasing the market trends and data you've collected.

4. How do I use market research to make my presentation more impactful?

To make your research presentation more impactful, start by using a market research presentation template. Incorporate graphs and charts to present the research data effectively. Make sure your presenter skills are polished when presenting your research to stakeholders or investors. Use market research PowerPoint slides to show key findings and connect the dots between the research process and the business objectives you want to achieve.

5. Can you provide tips on how to present the results of my market research effectively?

Certainly! When presenting your research, use a market research PowerPoint template to organize your content. Download a template that suits your needs. Focus on the research design and how you conducted market research, talking to customers and gathering data. Use the template to create your presentation and ensure it flows smoothly. This will help you present the results in a way that engages your audience and conveys the importance of the research in supporting your business goals.

Create your market research presentation with prezent

Ready to create your market research presentation? Don't forget to leverage the right tools. Consider using Prezent, the business success communication platform for enterprise teams, offers a powerful solution for crafting market research presentations that elevate your business's communication. With our AI presentation tool, you can achieve full brand compliance and create personalized, on-brand presentations tailored to the preferences of your audience.

Key Features:

• Personalized fingerprints : Prezent allows you to customize your presentations based on audience preferences, ensuring that your message resonates effectively.
• Presentation builder : Our platform provides a user-friendly presentation builder that simplifies the process of creating compelling market research presentations.
• Business storytelling : Access guides and e-courses to master structured storytelling, with 50+ storylines commonly used by business leaders.
• Brand-approved design : Ensure brand consistency with our document management system, which offers over 35,000 slides in your company's approved design.
• Supercharge your team's communication : Prezent saves you 70% of the time required to make presentations, allowing you to crush 60% of communication costs by replacing expensive agencies with our software and services.
• Enterprise-grade security : Rest assured that your data is secure with our top-priority commitment to data protection and independent third-party assurance.

For a personal touch and additional support, explore our professional services, including overnight services and presentation specialists. Submit your presentation by 5:30 PM PST, and by 9:30 AM the next business day presentation is delivered in your inbox.

With Prezent, you can create market research presentations that not only impress but also deliver your message effectively, all while staying 100% on brand and reducing communication costs.

Try our free trial or book a demo and elevate your presentations today with Prezent!

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Market Research Presentation: Importance, Elements and Benefits

• By Herwin Jose
• July 12, 2024

Market research presentation is a crucial part of the research process that involves presenting key findings and insights to stakeholders. A well-designed market research presentation template can help you effectively communicate your findings. Using tools like Canva presentation template or market research PowerPoint (PPT), you can create your presentation with graphs and charts to showcase consumer behavior and demographics.

It is important to tailor your marketing strategies based on the insights gathered from a comprehensive market study. By conducting a pestel analysis and using a marketing plan template, you can tailor your presentation to present the research process effectively.

Key Takeaways

• Understanding the Target Market: Presentations on market research offer valuable information about customer demographics, preferences, and behavior, which helps in creating products and services that cater to customer needs.
• Competitive Advantage: By evaluating the strengths and weaknesses of competitors, market research aids businesses in identifying opportunities for differentiation and competitive advantage.
• Well-Informed Decision Making:  Utilizing data-driven insights from market research helps businesses in making strategic decisions that minimize risks and maximize returns on investments.
• Improved Marketing Strategies: Market research guides marketing and advertising strategies, ensuring that campaigns resonate with the target audience and improve sales conversions.
• Promoting Innovation and Growth: Insights from market research support product development, innovation, and strategic planning for business expansion, ensuring alignment with market trends and customer preferences.

What does the Market Research Presentation entail?

Creating an effective market research presentation involves using a powerpoint template or google slides to organize your research findings. This template should include graphs, infographics, and other visual aids to help stakeholdersunderstand the market trends and make informed decisions. The presentation should cover aspects such as market analysis, market segmentation, SWOT analysis , and the target market for your product or service. By using market research data, you can present the market share of your business’s new product or service and demonstrate how it fits into the market. This powerpoint presentation will help you to effectively conduct market research and ensure that your business is making data-driven decisions.

Why Address Market Research Slide Deck?

Market research is essential to understand your specific market, current market, and market position. By conducting market research, you can gather valuable insights that will help you make informed decisions about your core businessor business idea.

When it comes to presenting your research, a well-designed research ppt with charts and graphs can make your presentation clear and easy to understand. Creating a market research presentation also allows you to present the results of your market share analysis in a visually appealing way.

Elements of Market Research Presentation

1. Introduction to Market Research: – Define market research and its importance in business decision-making – Discuss the objectives of market research (e.g., understanding customer demographics, preferences, and behaviors)

2. Types of Market Research: – Primary research: collecting data directly from the target audience through surveys, interviews, focus groups, etc. – Secondary research: utilizing existing data and information from sources such as industry reports, publications, and databases.

3. Methods of Data Collection: – Surveys: online surveys, phone surveys, in-person surveys, etc. – Interviews: individual interviews, group interviews, etc. – Observational research: monitoring and analyzing consumer behavior in real-time

4. Data Analysis and Interpretation: – Discuss how collected data is analyzed using statistical tools and techniques – Present methods for interpreting data to identify trends, patterns, and actionable insights

5. Reporting and Presentation of Findings: – Showcase techniques for presenting research findings in a clear and visually appealing way (e.g., charts, graphs, infographics) – Discuss how to effectively communicate key insights and recommendations to stakeholders

6. Ethical Considerations in Market Research: – Address ethical issues related to data collection, privacy, and confidentiality – Highlight the importance of ensuring data accuracy and integrity in market research

7. Case Studies and Examples: – Share real-world examples of successful market research initiatives and their impact on business strategies – Analyze customer success stories and testimonials to demonstrate the value of market research

8. Conclusion and Key Takeaways: – Summarize key points and insights from the presentation – Highlight the significance of market research in driving business growth and competitive advantage

9. Q&A Session: – Encourage audience participation by inviting questions and discussions – Provide additional clarification on any topics covered in the presentation.

Tips for organizing a market research presentation

1. Start with a clear introduction that outlines the purpose of the market research presentation and the key objectives you aim to achieve.

2. Structure your presentation in a logical manner, with a clear flow of information. This could include sections on the methodology used, key findings, analysis, and recommendations.

3. Use visuals such as charts, graphs, and tables to support your findings and make the information more digestible for your audience.

4. Keep the presentation concise and to the point, focusing on the most important findings and insights. Avoid overwhelming your audience with unnecessary details.

5. Use clear and concise language, avoiding jargon and technical terms that may be confusing to your audience.

6. Provide context for your findings by explaining the significance of the research and how it relates to your business objectives.

7. Highlight key takeaways and recommendations at the end of the presentation , summarizing the main findings and outlining actionable next steps.

8. Allow time for questions and discussion at the end of the presentation, encouraging audience engagement and feedback.

9. Practice your presentation beforehand to ensure a smooth delivery and make sure you are well-prepared to answer any questions that may arise.

10. Follow up with a summary of the key points discussed in the presentation, along with any additional information or resources that may be relevant to your audience.

Benefits of Market Research Presentation

1. Helps in understanding the target market: Market research helps businesses in understanding the needs, preferences, and behavior of their target market. This information is crucial for developing products and services that meet the needs of customers and attract more potential customers.

2. Provides insights into competitors: Market research allows businesses to gather information about their competitors, such as their strengths, weaknesses, and strategies. This information enables businesses to identify opportunities for differentiation and competitive advantage.

3. Helps in making informed business decisions: Market research provides businesses with data-driven insights that can help them make more informed and strategic business decisions. This can help in minimizing risks and maximizing returns on investment.

4. Assists in product development and innovation: By understanding customer needs and preferences through market research, businesses can develop products and services that are more likely to succeed in the market. This can lead to increased sales and customer satisfaction.

5. Supports marketing and advertising efforts: Market research helps businesses in understanding their target audience and designing marketing and advertising campaigns that are more likely to resonate with customers. This can lead to more effective marketing strategies and higher sales conversions.

6. Helps in measuring customer satisfaction: Market research can be used to gather feedback from customers about their experience with a product or service. This information can be used to identify areas for improvement and enhance customer satisfaction.

7. Provides valuable insights for expansion and growth: Market research can provide businesses with insights into new markets, customer segments, and opportunities for growth. This information can help in developing strategic plans for expansion and diversification.

8. Enables businesses to stay ahead of market trends: Market research helps businesses in staying informed about market trends, consumer behavior, and emerging technologies. This can help businesses in adapting to changing market conditions and staying ahead of the competition.

Creating and executing a market research presentation

The following is an outline for creating and executing a market research presentation: 1. Introduction – Briefly introduce yourself and your team – Provide an overview of the purpose of the market research study 2. Research Objective – Clearly state the research objectives and goals – Explain why this market research study is important for the company 3. Methodology – Describe the research methodology used (e.g. surveys, interviews, focus groups, etc.) – Discuss sample size, data collection methods, and analysis techniques – Highlight any limitations of the study 4. Key Findings – Present the key findings of the study, focusing on the most relevant and important insights – Use charts, graphs, and visuals to illustrate the data – Provide explanations and interpretations for the findings 5. Market Trends – Identify and discuss any important market trends uncovered in the research – Explain how these trends can impact the company and its products/services 6. Competitive Analysis – Present findings on competitors, their strengths, weaknesses, and market positioning – Discuss how the company can leverage these insights to gain a competitive advantage 7. Recommendations – Provide actionable recommendations based on the research findings – Discuss potential strategies for the company to implement in response to the research 8. Conclusion – Summarize the key points and takeaways from the presentation – Encourage questions and feedback from the audience 9. Q&A – Open up the floor for questions and discussion 10. Follow-up – Provide contact information for further inquiries or additional information – Thank the audience for their time and attention.

1. What is market survey results?

Market survey results are an essential part of the market research process, as they help companies understand consumer behavior and preferences. When you want to present your findings, having a strong presentation design is crucial.

2. How to present market research presentation?

Create your market research presentation by first conducting extensive market research to understand your audience and their needs. Think about how you want your presentation to look and start your presentation by organizing a clear and concise layout.

3. What is the best way to do market research?

Gathering data is the first step in conducting market research. It involves collecting relevant pieces of information from various sources to identify potential opportunities and threats in the external environment. Once the data is gathered, it needs to be streamlined and organized in an editable format for analysis.

4. What is an example of market research presentation?

An example of a market research presentation could be a qualitative study on consumer preferences for sustainable products. The presenter may use visualization techniques to connect the dots between psychographic data, purchasing behaviors, and attitudes towards sustainable practices.

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Figurative Language: Simile and Other Types of Figures of Speech

Communication competence: communicative competence tips, the power of paraverbal communication: key elements and tips.

Module 6: Marketing Information and Research

The marketing research process, learning objectives.

• Identify the steps of conducting a marketing research project

A Standard Approach to Research Inquiries

Marketing research is a useful and necessary tool for helping marketers and an organization’s executive leadership make wise decisions. Carrying out marketing research can involve highly specialized skills that go deeper than the information outlined in this module. However, it is important for any marketer to be familiar with the basic procedures and techniques of marketing research.

It is very likely that at some point a marketing professional will need to supervise an internal marketing research activity or to work with an outside marketing research firm to conduct a research project. Managers who understand the research function can do a better job of framing the problem and critically appraising the proposals made by research specialists. They are also in a better position to evaluate their findings and recommendations.

Periodically marketers themselves need to find solutions to marketing problems without the assistance of marketing research specialists inside or outside the company. If you are familiar with the basic procedures of marketing research, you can supervise and even conduct a reasonably satisfactory search for the information needed.

Step 1: Identify the Problem

The first step for any marketing research activity is to clearly identify and define the problem you are trying to solve. You start by stating the marketing or business problem you need to address and for which you need additional information to figure out a solution. Next, articulate the objectives for the research: What do you want to understand by the time the research project is completed? What specific information, guidance, or recommendations need to come out of the research in order to make it a worthwhile investment of the organization’s time and money?

It’s important to share the problem definition and research objectives with other team members to get their input and further refine your understanding of the problem and what is needed to solve it. At times, the problem you really need to solve is not the same problem that appears on the surface. Collaborating with other stakeholders helps refine your understanding of the problem, focus your thinking, and prioritize what you hope to learn from the research. Prioritizing your objectives is particularly helpful if you don’t have the time or resources to investigate everything you want.

To flesh out your understanding of the problem, it’s useful to begin brainstorming actual research questions you want to explore. What are the questions you need to answer in order to get to the research outcomes? What is the missing information that marketing research will help you find? The goal at this stage is to generate a set of preliminary, big-picture questions that will frame your research inquiry. You will revisit these research questions later in the process, but when you’re getting started, this exercise helps clarify the scope of the project, whom you need to talk to, what information may already be available, and where to look for the information you don’t yet have.

Applied Example: Marketing Research for Bookends

To illustrate the marketing research process, let’s return to Uncle Dan and his ailing bookstore, Bookends. You need a lot of information if you’re going to help Dan turn things around, so marketing research is a good idea. You begin by identifying the problem and then work to set down your research objectives and initial research questions:

Step 2: Develop a Research Plan

Once you have a problem definition, research objectives, and a preliminary set of research questions, the next step is to develop a research plan. Essential to this plan is identifying precisely what information you need to answer your questions and achieve your objectives. Do you need to understand customer opinions about something? Are you looking for a clearer picture of customer needs and related behaviors? Do you need sales, spending, or revenue data? Do you need information about competitors’ products, or insight about what will make prospective customers notice you? When do need the information, and what’s the time frame for getting it? What budget and resources are available?

Once you have clarified what kind of information you need and the timing and budget for your project, you can develop the research design. This details how you plan to collect and analyze the information you’re after. Some types of information are readily available through  secondary research and secondary data sources. Secondary research analyzes information that has already been collected for another purpose by a third party, such as a government agency, an industry association, or another company. Other types of information need to from talking directly to customers about your research questions. This is known as primary research , which collects primary data captured expressly for your research inquiry.   Marketing research projects may include secondary research, primary research, or both.

Depending on your objectives and budget, sometimes a small-scale project will be enough to get the insight and direction you need. At other times, in order to reach the level of certainty or detail required, you may need larger-scale research involving participation from hundreds or even thousands of individual consumers. The research plan lays out the information your project will capture—both primary and secondary data—and describes what you will do with it to get the answers you need. (Note: You’ll learn more about data collection methods and when to use them later in this module.)

Your data collection plan goes hand in hand with your analysis plan. Different types of analysis yield different types of results. The analysis plan should match the type of data you are collecting, as well as the outcomes your project is seeking and the resources at your disposal. Simpler research designs tend to require simpler analysis techniques. More complex research designs can yield powerful results, such as understanding causality and trade-offs in customer perceptions. However, these more sophisticated designs can require more time and money to execute effectively, both in terms of data collection and analytical expertise.

The research plan also specifies who will conduct the research activities, including data collection, analysis, interpretation, and reporting on results. At times a singlehanded marketing manager or research specialist runs the entire research project. At other times, a company may contract with a marketing research analyst or consulting firm to conduct the research. In this situation, the marketing manager provides supervisory oversight to ensure the research delivers on expectations.

Finally, the research plan indicates who will interpret the research findings and how the findings will be reported. This part of the research plan should consider the internal audience(s) for the research and what reporting format will be most helpful. Often, senior executives are primary stakeholders, and they’re anxious for marketing research to inform and validate their choices. When this is the case, getting their buy-in on the research plan is recommended to make sure that they are comfortable with the approach and receptive to the potential findings.

Applied Example: A Bookends Research Plan

You talk over the results of your problem identification work with Dan. He thinks you’re on the right track and wants to know what’s next. You explain that the next step is to put together a detailed plan for getting answers to the research questions.

Dan is enthusiastic, but he’s also short on money. You realize that such a financial constraint will limit what’s possible, but with Dan’s help you can do something worthwhile. Below is the research plan you sketch out:

Step 3: Conduct the Research

Conducting research can be a fun and exciting part of the marketing research process. After struggling with the gaps in your knowledge of market dynamics—which led you to embark on a marketing research project in the first place—now things are about to change. Conducting research begins to generate information that helps answer your urgent marketing questions.

Typically data collection begins by reviewing any existing research and data that provide some information or insight about the problem. As a rule, this is secondary research. Prior research projects, internal data analyses, industry reports, customer-satisfaction survey results, and other information sources may be worthwhile to review. Even though these resources may not answer your research questions fully, they may further illuminate the problem you are trying to solve. Secondary research and data sources are nearly always cheaper than capturing new information on your own. Your marketing research project should benefit from prior work wherever possible.

After getting everything you can from secondary research, it’s time to shift attention to primary research, if this is part of your research plan. Primary research involves asking questions and then listening to and/or observing the behavior of the target audience you are studying. In order to generate reliable, accurate results, it is important to use proper scientific methods for primary research data collection and analysis. This includes identifying the right individuals and number of people to talk to, using carefully worded surveys or interview scripts, and capturing data accurately.

Without proper techniques, you may inadvertently get bad data or discover bias in the responses that distorts the results and points you in the wrong direction. The module on Marketing Research Techniques discusses these issues in further detail, since the procedures for getting reliable data vary by research method.

Applied Example: Getting the Data on Bookends

Dan is on board with the research plan, and he’s excited to dig into the project. You start with secondary data, getting a dump of Dan’s sales data from the past two years, along with related information: customer name, zip code, frequency of purchase, gender, date of purchase, and discounts/promotions (if any).

You visit the U.S. Census Bureau Web site to download demographic data about your metro area. The data show all zip codes in the area, along with population size, gender breakdown, age ranges, income, and education levels.

The next part of the project is customer-survey data. You work with Dan to put together a short survey about customer attitudes toward Bookends, how often and why they come, where else they spend money on books and entertainment, and why they go other places besides Bookends. Dan comes up with the great idea of offering a 5 percent discount coupon to anyone who completes the survey. Although it eats into his profits, this scheme gets more people to complete the survey and buy books, so it’s worth it.

For a couple of days, you and Dan take turns doing “man on the street” interviews (you interview the guy in the red hat, for instance). You find people who say they’ve never been to Bookends and ask them a few questions about why they haven’t visited the store, where else they buy books and other entertainment, and what might get them interested in visiting Bookends sometime. This is all a lot of work, but for a zero-budget project, it’s coming together pretty well.

Step 4: Analyze and Report Findings

Analyzing the data obtained in a market survey involves transforming the primary and/or secondary data into useful information and insights that answer the research questions. This information is condensed into a format to be used by managers—usually a presentation or detailed report.

Analysis starts with formatting, cleaning, and editing the data to make sure that it’s suitable for whatever analytical techniques are being used. Next, data are tabulated to show what’s happening: What do customers actually think? What’s happening with purchasing or other behaviors? How do revenue figures actually add up? Whatever the research questions, the analysis takes source data and applies analytical techniques to provide a clearer picture of what’s going on. This process may involve simple or sophisticated techniques, depending on the research outcomes required. Common analytical techniques include regression analysis to determine correlations between factors; conjoint analysis to determine trade-offs and priorities; predictive modeling to anticipate patterns and causality; and analysis of unstructured data such as Internet search terms or social media posts to provide context and meaning around what people say and do.

Good analysis is important because the interpretation of research data—the “so what?” factor—depends on it. The analysis combs through data to paint a picture of what’s going on. The interpretation goes further to explain what the research data mean and make recommendations about what managers need to know and do based on the research results. For example, what is the short list of key findings and takeaways that managers should remember from the research? What are the market segments you’ve identified, and which ones should you target?  What are the primary reasons your customers choose your competitor’s product over yours, and what does this mean for future improvements to your product?

Individuals with a good working knowledge of the business should be involved in interpreting the data because they are in the best position to identify significant insights and make recommendations from the research findings. Marketing research reports incorporate both analysis and interpretation of data to address the project objectives.

The final report for a marketing research project may be in written form or slide-presentation format, depending on organizational culture and management preferences. Often a slide presentation is the preferred format for initially sharing research results with internal stakeholders. Particularly for large, complex projects, a written report may be a better format for discussing detailed findings and nuances in the data, which managers can study and reference in the future.

Applied Example: Analysis and Insights for Bookends

Getting the data was a bit of a hassle, but now you’ve got it, and you’re excited to see what it reveals. Your statistician cousin, Marina, turns out to be a whiz with both the sales data and the census data. She identified several demographic profiles in the metro area that looked a lot like lifestyle segments. Then she mapped Bookends’ sales data into those segments to show who is and isn’t visiting Bookends. After matching customer-survey data to the sales data, she broke down the segments further based on their spending levels and reasons they visit Bookends.

Gradually a clearer picture of Bookends’ customers is beginning to emerge: who they are, why they come, why they don’t come, and what role Bookends plays in their lives. Right away, a couple of higher-priority segments—based on their spending levels, proximity, and loyalty to Bookends—stand out. You and your uncle are definitely seeing some possibilities for making the bookstore a more prominent part of their lives. You capture these insights as “recommendations to be considered” while you evaluate the right marketing mix for each of the new segments you’d like to focus on.

Step 5: Take Action

Once the report is complete, the presentation is delivered, and the recommendations are made, the marketing research project is over, right? Wrong.

What comes next is arguably the most important step of all: taking action based on your research results.

If your project has done a good job interpreting the findings and translating them into recommendations for the marketing team and other areas of the business, this step may seem relatively straightforward. When the research results validate a path the organization is already on, the “take action” step can galvanize the team to move further and faster in that same direction.

Things are not so simple when the research results indicate a new direction or a significant shift is advisable. In these cases, it’s worthwhile to spend time helping managers understand the research, explain why it is wise to shift course, and explain how the business will benefit from the new path. As with any important business decision, managers must think deeply about the new approach and carefully map strategies, tactics, and available resources to plan effectively. By making the results available and accessible to managers and their execution teams, the marketing research project can serve as an ongoing guide and touchstone to help the organization plan, execute, and adjust course as it works toward desired goals and outcomes.

It is worth mentioning that many marketing research projects are never translated into management action. Sometimes this is because the report is too technical and difficult to understand. In other cases, the research conclusions fail to provide useful insights or solutions to the problem, or the report writer fails to offer specific suggestions for translating the research findings into management strategy. These pitfalls can be avoided by paying due attention to the research objectives throughout the project and allocating sufficient time and resources to do a good job interpreting research results for those who will need to act on them.

Applied Example: Bookends’ New Customer Campaign

Your research findings and recommendations identified three segments for Bookends to focus on. Based on the demographics, lifestyle, and spending patterns found during your marketing research, you’re able to name them: 1) Bored Empty-Nesters, 2) Busy Families, and 3) Hipster Wannabes. Dan has a decent-sized clientele across all three groups, and they are pretty good spenders when they come in. But until now he hasn’t done much to purposely attract any of them.

With newly identified segments in focus, you and Dan begin brainstorming about a marketing mix to target each group. What types of books and other products would appeal to each one? What activities or events would bring them into the store? Are there promotions or particular messages that would induce them to buy at Bookends instead of Amazon or another bookseller? How will Dan reach and communicate with each group? And what can you do to bring more new customers into the store within these target groups?

Even though Bookends is a real-life project with serious consequences for your uncle Dan, it’s also a fun laboratory where you can test out some of the principles you’re learning in your marketing class. You’re figuring out quickly what it’s like to be a marketer.

Well done, rookie!

Check Your Understanding

Answer the question(s) below to see how well you understand the topics covered in this outcome. This short quiz does  not  count toward your grade in the class, and you can retake it an unlimited number of times.

Use this quiz to check your understanding and decide whether to (1) study the previous section further or (2) move on to the next section.

• Revision and Adaptation. Authored by : Lumen Learning. License : CC BY: Attribution
• Chapter 3: Marketing Research: An Aid to Decision Making, from Introducing Marketing. Authored by : John Burnett. Provided by : Global Text. Located at : http://solr.bccampus.ca:8001/bcc/file/ddbe3343-9796-4801-a0cb-7af7b02e3191/1/Core%20Concepts%20of%20Marketing.pdf . License : CC BY: Attribution
• Urban life (Version 2.0). Authored by : Ian D. Keating. Located at : https://www.flickr.com/photos/ian-arlett/19313315520/ . License : CC BY: Attribution

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Conducting insightful market research and creating a compelling presentation

If you’re interested in introducing a new product or service to consumers, you must be sure they need it and would want to purchase it. That is why you should conduct market research and design it into attractive market research slides to have an idea in advance of customer acceptance of that product to avoid as many risks of market unacceptance as possible.

Choosing presentation design service is the first step to avoiding risks because sheets of data will not impress anyone but colorful pie charts will.

What is Market Research Presentation?

Marketing research is a system of identifying and analyzing information related to the techniques and problems of marketing.

As an important part of the marketing function, market research has to be properly conducted and used regularly to get all the answers you need. The research is just as valuable to the manufacturer as its further market research ppt to present to managers and teams . Logical enough, if you create an unnecessary product with an unattractive presentation, few stakeholders will approve it, and few people will buy the product. Thus, your business idea will eventually fail.

Market research includes all research activities involved in marketing problems:

• Gathering information.
• Recording information.
• Analyzing information.

Sources of information on markets:

• Published statistics.
• Government agency.
• Trade associations.
• Other consultants.

Why Address Market Research Slide Deck?

The marketing research deck provides the next benefits:

• Effective sales forecasting with attractive graphs.
• Continued business vitality.
• The soundness of marketing decisions.
• Transparency on how much, where, to whom, and how to sell.

Additionally, a comprehensive market research deck helps to design sales analysis through recorded data. It can be even done in the company’s own office to set up sales records and yield data. As you see, there are no disadvantages to market analysis presentations, and it is a wholesome instrument to analyze your company and predict its prospects in beautiful tables and slides.

Check this material if you struggle with composing an effective sales plan and its analysis.

How to Design a Market Research PowerPoint Plan?

The scope of typical marketing research includes following the next steps:

• Measure market potential.
• Determine market characteristics.
• Analyze market share.
• Study competitive products.
• Make short and long-range forecasting.
• Discover business trends.
• Study advertisement effectiveness.
• Analyze pricing.
• Investigate plant and warehouse.
• Explore distribution channels.

How to Conduct Market Research?

Let’s discuss the exact steps involved in conducting effective market research.

Step 1: Define the problem

When posing questions, researchers will benefit from having a well-defined area of study. These inquiries need to be problem-solving in nature and customized for the project. The study objectives should also be clearly stated and briefly define the information that is required and how it might be acquired. The question of “why are we performing this research?” must eventually have an insightful response.

Step 2: Define the sample

The researcher needs a representative sample to conduct market research. A sample is a small group of individuals who serve as an accurate representation of a larger group. Obviously, a company cannot squander resources by gathering data from the incorrect demographic.

There are two techniques to obtain the sample:

• Probability sampling: it ensures that every member of the population will have the same chance of being chosen and included in the sample group because the sample will be chosen at random.
• Non-probability sampling: a variety of people are attempting to obtain a more representative sample that is more evenly distributed. Understanding the demographics of your group will surely help in limiting the target sample’s profile and defining interesting variables (gender, age, place of residence, etc.).

Step 3: Execute data collection

First, a data collection instrument should be developed. Indeed, not answering the survey or answering it incompletely will cause errors in research and further results.

Step 4: Analyze the results

If all the above is executed well, but there is no accurate result analysis, the consequent decisions will not be appropriately made. Meanwhile, in-depth analysis will be insightful and effective in making vital solutions. Data analysis has to be noted in a clearly written report.

Step 5: Make the research report

When presenting market research presentation slides with results, researchers should focus on what they want to achieve using these results. Bright graphs and charts are worth little if they answer no valuable business question.

To make a prominent report slide deck, consider these pieces of advice from expert analysts and presenters:

• Use storytelling: start with your conclusions and give fundamentals instead of accumulating evidence.
• Be flexible: order of questions in your questionnaire should not determine the order of outcomes in the presentation.
• Restructure data: you could discover new and more valuable information.
• Take decisions: act and implement!

And remember, every observer should be able to extract something from your report so that it becomes relevant to their field of work.

How to Design Market Research in PowerPoint?

The typical structure of a market research presentation includes the following set of slides:

• Title slide.
• Objectives.
• SWOT analysis.
• Intended outcomes.
• Target demographics.
• Data collection.

We would like to give you more options for marketing research presentation structures, and you pick the one that suits your specific request. We will not include the title, conclusion, and other slides so that you focus on the presentation’s main body.

Disclaimer: you are welcome to adjust, alter, and suit the next examples per your requirements.

Presentation Structure #1: Desk Research

• Sales analysis slide(s). – Past sales. – Fluctuations in sales & promotional expenditure. – Economics of order size.
• Correlation studies slide(s) (concerned with finding the relationship between two or more variables).
• Ratios slide(s). – Stock-turn (relation between sales and stocks). – Profit per capita.

Presentation Structure #2: Postal Questionnaire

• Questions slide(s). – Short. – Specific. – Statistical. – Open-minded.
• Answers slide(s).
• “So what?” slide(s).

Presentation Structure #3: Statistical Method

• Pre-collected data slide(s). – Bar charts. – Histograms. – Frequency polygons. – Frequency distribution curves.
• Sample size slide(s).
• Testing hypothesis slide(s).
• Data interpretation slide(s).

Marketing and sales are interconnected things. While the first is a more abstract notion, the second is based on exact numbers. And managing those numbers is a responsible task that must be based on solid market research. Collecting, analyzing, and interpreting data is what market research is. And every company needs plenty of them to make more informed decisions.

If you struggle with designing the obtained numbers into attractive charts and graphs, make sure to contact our presentation design services and get an animated interpretation of your data.

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• Presenting techniques
• 50 tips on how to improve PowerPoint presentations in 2022-2023 [Updated]
• Present financial information visually in PowerPoint to drive results

How to present a research paper in PPT: best practices

• Keynote VS PowerPoint

• Design Tips

8 rules of effective presentation

How to create an effective sales plan and present it: components and tips

September special: Business Transformation PPT Templates

How to Create Engaging Market Research Presentations: Tips & Visual Ideas

• October 5, 2023
• Marketing , PowerPoint templates for download , Strategy Management

Are you struggling to captivate your audience while presenting market research findings? Such presentations usually have a form of PowerPoint slides that contain lots of data. It can be challenging to create a presentation that will keep your audience engaged for a longer time. In this article, we will explore the best practices, providing you with practical tips and illustrative examples for your market research presentations.

With the ever-increasing competition in the business world, it’s crucial to deliver market research presentations that are not only informative but also clear and easy to follow. Whether you are presenting to potential clients or internal teams, the way you present data and findings can make or break your success.

Understanding your audience for better engagement

One of the first steps towards mastering market research presentations is understanding your audience. Each audience is unique, with different knowledge levels and preferences. By tailoring your presentation to their specific needs and interests, you can keep them engaged throughout.

For example, if you are presenting to a group of executives, focus on high-level insights and strategic implications. On the other hand, if your audience consists of analysts or subject matter experts, you can dive deeper into the methodology and data analysis.

The typical structure of market research presentations

Market research is a systematic process of gathering, analyzing, and interpreting data related to a specific market or industry. It involves the collection of quantitative and qualitative data, as well as the evaluation of market trends, consumer behavior, and competitive landscapes to identify opportunities and mitigate risks.

These are the parts typically present in market research presentations:

• market analysis : evaluation of the target market’s size, growth potential, and segmentation, as well as an assessment of current and future market trends
• ideal customer analysis : profiling and understanding the characteristics, needs, preferences, and behaviors of the target customer base.
• competitive landscape : research of the competitors’ products, pricing, marketing strategies, and market share to identify strengths and weaknesses.
• SWOT analysis : identifying internal strengths, weaknesses, external opportunities, and threats, to formulate effective strategies.

If you’re working on a market analysis presentation, see more visualization ideas here .

Let’s dive into specific visual examples you can use to illustrate each part of the market research report.

You can click on all example images to see details and download the source PowerPoint files.

#1: Market analysis slides

Market analysis is a fundamental component of market research presentations, providing a comprehensive assessment of the specific market or industry under consideration. This phase involves thoroughly examining various aspects, typically including the market’s size, growth potential, segmentation, total addressable market (TAM), and identifying relevant submarkets or niches.

Below you’ll find a few slide ideas you can reuse.

When you analyze a specific country, you can present its macroeconomic data on one dashboard slide. Notice in the picture below how we embedded a map and several key data about the analyzed country – here Spain and its population, GDP, number of households, and tourists annually.

Another example of market analysis is this PowerPoint slide – presenting global share distribution as a series of pie charts over the world map.

You can present the size of the market with an eye-catching onion diagram in the shape of a teardrop. Such a diagram shows three embedded layers of TAM – Total Available Market, SAM – Servicable Available Market, and SOM – Servicable Obtainable Market.

Here’s another graphical PowerPoint slide inspiration with a description of market size and its potential. We presented these data in the form of a two-column layout.

#2: Customer analysis

Customer or target persona analysis involves demographic assessment (age, income, location), psychographics (lifestyle, values), and behavioral analysis (buying habits, brand loyalty). It helps businesses segment their audience and create personalized strategies and products that cater to customer needs and preferences. Additionally, customer analysis often involves crafting customer personas to guide decision-making and foster strong customer relationships.

You can illustrate targeted customer profiles by dividing data into 4 sections: demographics, interests, purchase behavior, and personality. On the slide below, each section is color-coded and illustrated with icons. It will help your audience to stay focused and not get lost in the walls of text and bullet points.

Here’s another slide inspiration that shows a silhouette of a person’s head with a variety of information about them, including their profile, needs, habits, and behavior.

Here’s one more way of presenting your ideal customer: a simple layout divided visually into 2 parts. You can highlight any important points with hand-drawn markers and show some concepts with icons.

If you’d like to focus more on target customers and their profiles, explore more ideas in this blog .

You can also show the survey results visually (if you conducted any polls). For example, using a response infographic slide with 3 or more answer options. The slide below shows the percentage of people who prefer X, Y, and Z. This chart is a simple and effective way to visualize survey results, and you can easily customize all elements to your needs.

#3: Competitive analysis

Competitive landscape analysis entails assessing the strengths and weaknesses of competitors operating in the same market or industry. It involves identifying key competitors and comprehensively examining their products or services, pricing strategies, market share, and distribution channels.

While analyzing competitors, you can illustrate the results using a table or matrix layout, which will help your audience quickly see the differences between them. In the example evaluation matrix, we included the POS, sales revenue, market share, EBIT, and differentiator of the top 5 competitors.

Another example of competitive landscape analysis is this PowerPoint slide. This diagram includes the wider picture of competitors in the market:

• Key local competitors: competitors that operate in the same geographic area as your business.
• Key global competitors: competitors that operate in multiple geographic areas, including your own.
• Key substitutes: products or services that can be used instead of your product or service.
• New entrants: new businesses that have recently entered the market.

Here’s an example of presenting a competitive landscape in a more creative style. The table includes sales volume, market share, and product portfolio comparisons.

You can also benchmark against industry best practices, which will help you to identify areas for improvement and formulate strategies to surpass competitors.

#4: SWOT analysis

By using SWOT Analysis, you can assess a business’s internal strengths and weaknesses, along with external opportunities and threats. It helps identify resources, expertise, and competitive advantages (strengths), as well as operational inefficiencies or limitations (weaknesses). Simultaneously, it evaluates favorable market circumstances like emerging trends or untapped customer segments (opportunities) and external factors that could harm the business, such as competition or regulatory changes (threats).

Here are a few visualization ideas to try:

Here’s an elegant and minimal SWOT analysis matrix for a company and a new market. The matrix lists the company’s strengths, weaknesses, market opportunities, and threats.

Here’s another example of a market SWOT template, including a background image and more distinctive icons illustrating its four components:

Best practices for creating visually appealing market research presentations

To sum up, creating attractive professional-looking slides is a crucial aspect of mastering market research presentations. The visual part plays a significant role in capturing your audience’s attention and making your data more accessible.

Follow these tips to ensure your slides are visual and engaging:

• Choose the right simple clean design. Avoid cluttered or overwhelming designs that distract from your message. Instead, opt for clean and modern templates that enhance the readability of your content.
• Utilize colors that complement each other and provide good contrast to ensure that your audience can easily read the text on the slides. Keep the consistency throughout the whole presentation.
• In terms of data visualization , strive for simplicity and clarity. Use charts, graphs, and infographics to present complex data in a visually appealing way. Avoid overcrowding your slides with too much information.
• Consider incorporating light way of images and icons to enhance the visual appeal of your presentation. Use relevant and high-quality visuals that support your message. Images can help evoke emotions and make your presentation more memorable. Remember the images are only an addition, they should not steal the show.

By following these best practices for creating visually appealing market research presentations, you can effectively convey your message and keep your audience visually engaged.

Related Resources

Here are more resources to get you going:

• 10 slide ideas for effective go-to-market strategy plan presentation
• Ideas for presenting market analysis
• Templates for powerful marketing strategy presentation

Follow our  YouTube channel , and  subscribe to our newsletter  for more design tips and slide inspiration.

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Market Research Process: Six Steps to Follow

The six key steps in the market research process: from planning a study questionnaire to data collection, analysis, and the final delivery of findings.

Jan 29, 2024

quantilope is the Consumer Intelligence Platform for all end-to-end research needs

This blog highlights the six key steps in the market research process, from planning a study questionnaire to data collection, analysis, and the final delivery of research findings.

Table of Contents: 

• What is a market research process?

Six steps in the market research process

• Types of market research studies

Examples of market research studies

Accelerate your market research process with quantilope, what is a market research process .

A market research process is exploring and understanding the subjective views of consumers of a certain product or service, as well as the objective facts that characterize the category - such as its value, competitor activity, and the market share of different brands. This process aims to h ave a sound basis on which to make business decisions like launching new products, setting a pricing strategy, or creating persuasive advertising.

Back to Table of Contents

Six main steps that occur in a typical market research study process - from initial problem identification to acting on the final results are: 

1. Identify the problem or objective

2. Develop your research strategy 3. Gather data and information

4. Analyze data and information

5. Present findings

6. Act on your findings

Step 1. Identify the problem or objective

To better understand an area of your business, the first task is to define the business objective and the research objective. For some projects, these objectives might be broad while for others, they might be very narrow. Whichever type of project you’re undertaking, it’s worth asking yourself: what do I want to know by the end of this project? This will help you to identify your objectives.

For example, a large strategic study around a business’s social media activity might have an overall business objective of creating a framework to refer to whenever a post is made on social media. Its research objective might be to ‘identify social media usage and preferences amongst our audience.’ Within this will be other objectives, such as ‘segment consumers into user groups to optimize messaging’, ‘understand social media usage patterns’, and so on, all of which will feed into the overall business objective of better aligning social media posts through an identified framework. A narrower study might be focused on new packaging for a fruit juice, with the business objective of creating a pack that is sturdy, attractive, and convenient. The research objective for this would be to identify which out of a number of options is the most appealing to consumers.

Whether you want to test a hypothesis you might have about consumer opinion, simply collect information on what consumers do, or understand how respondents react to concepts (e.g. test different pricing models or gain feedback on three different website layouts) all require identifying a solid objective first.

Step 2. Develop your research strategy

Once you know what your research goals and objectives are, it’s time to decide how you’re going to get your answers.

Research design is a crucial part of the research process; quality data collection right means reliable results. The way you collect your data will depend on the type of information you’re looking for and the research methods available to you.

There are two broad types of research: primary research and secondary research. Primary research is research that you design yourself - or with the help of research experts - and is customized to your unique research objectives. Secondary research means using data that already exists, either in the public realm (e.g. published government statistics) or sold by commercial intelligence agencies. Keep in mind that secondary data (e.g. sales data) is unlikely to be entirely focused on your business problem, nor may it be up-to-date, but it can help set a good foundation.

Within primary research, quantitative research and qualitative research are the main methodologies.

Quantitative research includes questionnaire-based surveys that ask for the views of a relatively large sample of people . For example, you might want to know what percentage of people eat fruit every day, or which price point will maximize sales of your product. Questions are usually closed, using rating scales or yes/no answers, although open-ended questions can also be included. This produces numerical data that describes what an audience thinks and does. Statistics can be applied to these numerical insights for significance and confidence levels, indicating which insights might be best to focus decisions around. There are a variety of advanced methodologies to include in quantitative research, all dependent on your desired outcome from your dataset.

Qualitative research is more exploratory in nature. It takes a smaller sample of people and gains spontaneous opinions that can be probed to answer research objectives. For instance, if you’d like to know what people’s skincare routines are, it makes sense to conduct qualitative research to build a picture of individuals’ habits and preferences. These qual findings can then be taken into a larger-scale quantitative research project for a number-based picture of consumer segments. That being said, qualitative research on its own can also address similar questions as quantitative research (e.g. what do people think of our new advertising concept?) but through a qual format, you can get a more emotional read on a consumer and uncover the deeper why beyond simply what people think.

Whether you leverage quantitative research, qualitative research, or both, you’ll need to think about your sample size and profile. You will generally want it to be representative of your target market, and within that market you’ll want to consider which demographics, buyer behaviors, and attitudes (if any) you want to take into consideration for your sample group.

Step 3: Gather data and information

Once you have an objective and a research plan in place, it’s time to conduct your study through data collection - or, fieldwork. Quantitative research is largely online these days - either via email, text, social media, or on websites. Postal and face-to-face interviews, though far less common, also exist - and might be preferable for certain respondent groups you‘re trying to reach: like those without access to the internet or smartphones. Companies can gather quantitative data through their own supplied list of contacts, through social media/website traffic, or through the use of a panel provider who has the ability to target and contact the appropriate respondents for your study’s desired sample group.

As for qualitative research, data collection is typically left to focus groups, depth interviews, or ethnographic research, though online qualitative fieldwork is also rising in popularity through things like video surveys. So what do each of these qualitative formats look like?

Focus groups generally involve 5-8 respondents coming together for a discussion led by a moderator. A discussion guide is drawn up prior to the discussion to outline the main subjects to cover, but respondents are free to talk spontaneously within those parameters, gently steered by the moderator. This ensures that as many pertinent issues as possible are raised by respondents. Depth interviews follow a similar structure, except only one or two respondents are interviewed. The number of focus groups and interviews within a research project will depend on the diversity of the target market and geographical locations that the research needs to cover.

Ethnographic research allows researchers to really live a consumers’ experience by accompanying them on a decision-making process or witnessing the usage of a product - perhaps going on a shopping trip, or being with the respondent as they cook a meal. Observation coupled with interviewing brings even further depth to an understanding of the research issues.

Lastly, online qual research comes in the form of real-time interviews or recorded video feedback from respondents. Video clips posted by participants are particularly useful as they allow respondents to answer in their own time, and can include an ethnographic element (e.g. video diaries documenting an activity of interest - such as doing the laundry or washing dishes with certain products).

Step 4. Analyze data and information

Data analysis for quantitative research has improved incredibly over the years and is now generally done using highly sophisticated machine-learning computer software and automated analysis tools. You will have decided at the research design phase which research tools and data analyses are most relevant to your needs, so running the data through that software should be relatively simple at this step in your research process. Some of the quantitative analysis techniques you might want to use are:

• Market Segmentation: to define and separate the various groups of consumers in your market
• Conjoint Analysis : to compare the appeal of different product or service concepts, and understand how different elements of the concepts affect overall appeal (e.g. price, color, or product features)
• A/B Tests : to compare reactions to product concepts, communications, or advertising routes using equally structured groups of participants
• TURF Analysis : to understand the optimal portfolio of products in order to reach the greatest number of consumers
• Price Sensitivity : to explore how changes in price affect the intended take-up of a product or service
• Qualitative research is analyzed using transcripts to pull out trends in opinion, either manually or using an AI-drive software program that can identify the frequency and use of words, sentiments, and respondent emotions.

Check out how to use AI to generate a list of dynamic elements for an implicit study and analyze the results with just a click of a button :

Step 5. Present findings

At this step, you’ve conducted fieldwork and analyzed the findings. Now it’s time to present them to your stakeholders and internal audience.

The key goal here is to make your findings come alive so that those who have not been part of the research can quickly understand what the objectives were and the insights you have uncovered. While analysis can be complex, the final presentation of insights shouldn’t be - they should point to the concrete actions that need to be taken as a result of the research.

Visual representations are always a good way to illustrate findings and to tell a story - think customized graphs, charts, maps, photos, and videos within a live dashboard. A good presentation should include a few key elements: some context about the business problem, a tension/disconnect found within the data set that is pushing you to investigate further, and the resolution with a logical explanation for the disconnect using the data in a meaningful way. This is the blueprint for good storytelling to keep the audience engaged. Keeping your presentation of findings simple, clear, and in a live format such as a dashboard is a great way to share findings across the organization without version control issues.

Step 6: Act on your findings

You did your research for a reason - to improve your business - so now it’s time to take that action. This might be setting up that social media framework, or pressing ‘go’ on the production of the ideal fruit juice package design. It could also be putting in place long-term strategies: monitoring ongoing customer satisfaction, taking actions to foster customer loyalty, or developing product ranges that meet the needs of all your consumers. Acting on your findings also means staying alert to changes in consumer demand or category trends. This means the data you have obtained from your research might need to be revisited, or new research launched, at some point down the line.

Types of market research

1. quantitative market research.

Quantitative market research is the process of collecting and analyzing numerical and quantifiable data from a large representative sample of consumers. It involves quantifying opinions or behavior through surveys and often includes advanced research methodologies such as MaxDiff, TURF, Conjoint , etc to provide the highest quality of insights possible.

2. Qualitative market research

Qualitative market research is focused on understanding consumers' beliefs and opinions on certain topics and understanding why they do the things they do. Qualitative market research often takes the form of direct conversations with consumers rather than surveys. This could include focus groups, in-depth interviews, or a variety of other methods that get 1:1 feedback from an individual. Qualitative market research studies often have smaller sample sizes than quantitative studies

1. Brand Research

Brand research focuses on understanding various aspects that drive value for a new or an existing brand. For example, what is the brand awareness and consideration for a specific brand? How do consumers learn about a brand and how do they compare it to competitors? Brand research insights play a key role in measuring the success of a brand, marketing initiatives, and understanding potential growth opportunities.

2. Customer Segmentation Research

Customer segmentation research is the process of grouping prospective consumers into unique clusters based on their different needs. Within each segment, consumers share the same traits, needs, or attributes. Customer segmentation moves beyond seeing a customer base as one mass of people toward a deeper understanding of the differences between separate clusters of consumers. For example, within the video game industry , you could have different consumer segments focused on "social gamers," relaxed gamers," and "focused gamers." Each segment of video game consumers has different needs that video games fulfill for them which you can target specifically in your marketing and product innovation strategies. 

3. Pricing Research

Pricing research is the process of identifying the optimal price range for a product or service. Pricing research empowers brands to answer questions like: Can we increase our prices without losing consumers? How high can we increase before losing market share? How much can we charge for different portion sizes? What is the acceptable price range for our new product? Pricing research is particularly important for product innovation and during times of economic uncertainty such as high inflation when brands might need to reevaluate their pricing strategies. Back to Table of Contents

quantilope specializes in high-quality rapid research that takes you from the ideation of your research objectives to actionable findings. The end-to-end platform means all your research has one single home, enabling you to formulate your research questions, select your sample, launch surveys, and generate interactive data dashboards.

quantilope offers a fully automated research process from start to finish. Be it strategic, tactical, focused, or exploratory research you‘re looking for, quantilope's Insights Automation Platform is equipped to uncover the answers you need - whether that‘s developing a new marketing strategy, launching a new product, or monitoring performance over time. The platform‘s twelve advanced methods take basic usage and attitude studies to a new level, and on the qualitative front, quantilope‘s video solution, inColor , provides depth through AI-driven transcriptions as well as keyword, sentiment, and emotion analyses. 

To learn more about how quantilope can help you achieve these 6 key steps of your market research projects with automation, speed, and ease, get in touch below:

Get in touch to learn more about quantilope's automated market research process!

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How to Plan Your Market Research Presentation

by Caitlin Stewart , on August 13, 2014

Presenting your market research results is arguably the most important part of the process. There are many different presentations you might have to do throughout your career. I am going to focus on general internal presentations you might have to do for a board, such as a bid offer or a market research conclusion, and external presentations you might do, such as a presentation for a group of investors. Whether internal or external, there are some basic guidelines that all presenters should follow to make sure they are prepped and ready to go.

Preparing for your Market Research Presentation:

“Failing to prepare is preparing to fail.” – John Wooden

• Outline : Create an outline of the things you know you must say during your presentation. When you rehearse beforehand, you can use the outline to make sure you don’t forget anything important.
• Executive Summary : As with market research reports, your presentation should include an executive summary to explain why the research was done, what was found, what the findings mean, and what management should now do. Within your own company, those who paid for your research are going to be looking for a result. Use this section to focus on your key findings, and don’t explain all the results at once.
• Visuals : Present graphs or charts with important numbers and findings. Remember, not every data set needs a graph, but do emphasize the information that is going to be needed to encourage a change or action. Visuals are extremely useful to communicate results if they are designed appropriately.
• Draw Conclusions : No matter what your presentation is on, have a conclusion. What are you going to do now that you have this information from your research? Have an idea that you can present in order to show others that you were able to find a solution through obtaining data on the market.
• Bring Copies : You might want to consider bringing copies of anything from the above mentioned materials. With detailed market research projects, you can bring entire copies of the report you write after your research is done. But, having copies of anything you chose to present can allow your audience to follow along with your presentation.

Internal Market Research Presentation:

If you are presenting your market research findings internally to your supervisors or upper management, there are a few main issues you want to address. Consider these questions when you begin prepping for your presentation:

• What does the data really mean?
• What impact does it have?
• What have we learned from the data?
• What do we need to do, given the information we now have?
• How can future studies of this nature be enhanced?
• What could make this information more useful?

When presenting to those within your organization, particularly with a single user license for your reports, you must always remember to cite your source correctly according to the reports' market research licenses . Remember, those in your organization want to be assured that the marketing team did not waste money and that your research was related to the needs of the organization. This is your chance to show them that the research they invested in was worthwhile and how the conclusions are going to positively impact the organization.

External Market Research Presentation:

When you present to those you either don’t know, or those you want to invest in your organization, it is very important to be well equipped and know your information. But, there’s a difference in presenting market research to your organization and to investors.

When you are trying to get investors or venture capitalists, you might be trying to encourage them to invest in your new product or idea. There is a chance that there is nothing like your product out on the market, so there is little market research that can be done on your product, or little research you can do to test customer’s opinions through focus groups or other means. Most investors are looking for metrics that validate market success. Because of this, using market research as a base to demonstrate that your product will do well in the market is extremely important. Knowing the market you are looking to enter is going to show the investors you know what you are getting into and that you are prepared.

With all these tips in mind, there is a basic reminder all presenters should remember: be confident . Doing market research allows you to become more aware and knowledgeable in your industry, which in turn gives you the information to know what might be best for your organization. Sharing this information with others only spreads knowledge.

To learn more about using market research for your business, download our  free white paper .

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7 Best Practices to a Standout Research Presentation

After months of rigorous analysis, interpretation, and synthesis, your research findings are ready to change the world (or at least your corner of it). 

Now comes the next challenge: how do you translate your complex insights into a compelling research presentation that not only informs but captivates your audience? 

Keep reading for tips and best practices to create a research presentation as confident as your findings.

Pro tip : Get your free Piktochart account before you scroll down. This way, you can immediately put our tips to practice as you read along. Alternatively, you can hop over to our AI presentation maker and find more examples of professional research presentation decks.

Keep your pen and paper handy so you can take notes!

What exactly happens during a research presentation? 

When you present your research, you share what you’ve been working on and what you found out. 

You start by explaining why your topic matters, then walk your audience through how you went about investigating it. Then, you share your results, often with visuals to make things clear. You wrap up by recapping your main points, talking about what your findings and their relevance, and pointing out any questions that still need to be answered. 

In a nutshell, your research presentation is a way to get your work out there, get people talking, and maybe even gain new perspectives.

How long is a typical research presentation? 

The ideal length of a research presentation depends on the specific context, audience, and purpose. Here’s a general guideline:

• Short and sweet (10-15 minutes): Perfect for giving your audience a taste of your research and sparking their interest.
• Standard fare (20-30 minutes): Enough time to dive deeper into your methods and findings, ideal for most academic settings.
• Deep dive (45-60+ minutes): A comprehensive look at your work. This is best for specialized audiences who want all the details of your research.

How about an AP research presentation? How long should it be?

The official time limit for an AP (Advanced Placement) Research presentation is 15 to 20 minutes. But here’s a quick tip: you won’t want to use every second of that. Effective presenters often aim for the lower end of this range because shorter yet well-organized presentations hold attention and leave room for questions.

Aim for an AP research presentation that’s around 12-15 minutes, leaving a few minutes for questions or discussion. This keeps things engaging and shows you respect your audience’s time. As you’ll see later below, some of the best winning presentations we’ve found online are just 3 minutes long!

Speaking of, let’s get into the nitty-gritty of designing successful, effective research presentations.

Beyond bullet points: How to create research presentations that stand out

First time presenters often fall into the trap of relying on endless bullet points and dry recitations of data. As tempting as this sounds to effectively organize your presentation, it can often look like you’ve just copied and pasted your paper into the slides, and you’ll end up reading off them verbatim.

Here are some best practices with accompanying research presentation examples to help you go beyond bullet points and leave a lasting impression the next time you present your research. 

1. Develop a narrative for your research.

Let’s be honest, nobody wants to sit through a data dump disguised as a presentation. Instead, think of your research as a compelling story. Every good story has the following elements:

• Exposition: Set the scene for your research. What’s the problem you’re tackling? Why is your topic important? Use this section to create a compelling rationale that resonates with your audience’s interests or the broader implications of your work.
• Rising action (The challenge): Build tension and intrigue. What challenges did you face? What unexpected twists and turns did your research take? This is where you describe your research approach and the obstacles encountered, giving you a chance to inject some excitement into the research while demonstrating your problem-solving skills.
• Climax (Results): Reveal your findings! This is the moment your audience has been waiting for. This is the best time to use visuals to make your results memorable.
• Falling Action (Unpacking the results)): Help your audience make sense of your results. What are the broader implications? Are there potential applications, policy impacts, or do the results advance the theoretical understanding in your field?
• Resolution: Wrap it up with a satisfying conclusion. What are the next steps? What questions remain unanswered? End your presentation on a high note. Summarize your key takeaways, offer a call to action, or pose thought-provoking questions for future research. This leaves your audience wanting more.

A great example of a research presentation following a narrative arc is this 3-minute presentation by Shannon Lea Watkins of the University of California San Francisco. It won 1st place (Poster Presentation category) for APPAM’s (Association for Public Analysis and Management) 2017 Fall Research Conference.

The presentation skillfully introduces the research question, “Does initiating tobacco use with flavored products predict current smoking status? An examination by race, gender, and sexual identity,” and builds anticipation for the findings. The subsequent discussion of the research’s implications also effectively engages the audience and highlights its significance. 

In just 3 minutes, the presenter communicated the core message using clear language and highlighted the key takeaways.

2. Use a font size that is legible from a distance.

Imagine your grandmother sitting in the back row. Would she be able to read your slides comfortably?

If not, it’s time to bump up your presentation slide’s font size. A good rule of thumb is to use a minimum font size of 24 points for body text and 36 points for headings.

In addition, white space is your friend. Don’t overcrowd your slides with too much text. Instead, use concise bullet points, phrases, or keywords to guide your narrative. This will keep your audience focused on your story and not squinting to read tiny texts. 

Dr. Oliver Hauser’s presentation of his winning paper on “Minority Report: A Modern Perspective on Reducing Unethical Behavior in Organizations” is a good example of a presentation with legible text. The black text on a white background also creates excellent contrast which makes the text easily readable.

3. Choose your fonts carefully. 

Now that you’ve taken care of your presentations’ font size, let’s talk about font types. So what’s the best font for research presentations? 

When choosing the right font for your research presentation, consider the “personality” of different fonts and choose ones that align with your research’s tone and topic. For example, serif fonts are traditional and classic, while sans serif fonts are modern and clean. 

It also helps to prioritize legibility over style, especially for body text. Finally,  don’t be afraid to mix and match fonts for visual interest.

Here’s a pro tip from Stephanie Lee , Lead Designer at Piktochart: 

“An important factor to consider when choosing fonts to use is to ensure it has good readability. Roboto is a good font to consider for presentations, it’s a reliable font that’s versatile in that it can be used for both headings and body copy. It’s a great option if you need your design to look professional & modern.”

If you want to get creative, consider exploring less common fonts that still maintain readability. Some popular choices include:

• Futura : A geometric sans serif font with a modern feel.
• Raleway : A versatile sans serif font that works well for both headings and body text.
• Libre Baskerville : A classic serif font with excellent readability.
• Poppins : A geometric sans serif font with a friendly and approachable vibe.

Recommended reading : 14 Fonts That Make Your PowerPoint Presentations Stand Out

How about font pairings for presentations?

Here are some general tips to help you with font pairings and create a professional and visually-appealing research presentation:

• Pair a serif font with a sans serif font: This classic combination offers a nice contrast between traditional and modern styles.
• Use a bold or decorative font for headings and a simple font for body text: This creates a clear hierarchy and helps your audience navigate your content.
• Limit your font choices to two or three: Using too many fonts can make your presentation look cluttered and unprofessional.

And here are some popular font pairings you can try when making your own presentation :

Classic and readable

• Heading: Georgia or Merriweather (serif)
• Body: Arial or Helvetica (sans-serif)

This combination is timeless and easy on the eyes. It works well for formal presentations and those with a lot of text.

Modern and clean

• Heading: Montserrat or Lato (sans-serif)
• Body: Open Sans or Roboto (sans-serif)

These fonts are sleek and contemporary. They are suitable for presentations with a minimalist design and those targeting a younger audience.

Creative and engaging

• Heading: Playfair Display or Lobster (serif)
• Body: Raleway or Oswald (sans-serif)

This pairing is visually interesting and can help capture attention. This combo is ideal for creative presentations and those focused on design or storytelling.

With Piktochart, finding the right font for your presentation is very straightforward. You’ve got many options right at your fingertips, and you can even upload your own if you want to make it more custom. This makes it easier to customize your research presentation slides and make them look sharp!

4. Choose a color palette that complements your presentation.

Your presentation slides’ color scheme sets the mood of your presentation and can even influence how your audience perceives your message. Here are some pointers to help you pick the righ t color palette :

Match it to your topic

The colors you choose should reflect the tone of your research. Calming blues and green palette combinations might work for a mental health presentation, while fiery reds and oranges could be better for discussing climate change.

Keep it simple

Don’t overwhelm your audience with a rainbow of colors. Following the rule of 3 is a safe approach; stick to a primary color, a secondary color, and maybe an accent color.

Consider color psychology

The color you choose for your presentation can evoke emotions. For example, blue often signifies trust while green can represent growth.

Here are some more examples to get you started:

• Scientific and academic: Use white, gray, black, with a pop of blue or green.
• Business and corporate: Use blues, grays, and a touch of gold.
• Creative and artistic: Go for vibrant colors like orange, yellow, or turquoise.
• Nonprofit and social Impact: Opt for earthy tones like brown or green, with a warm accent like orange.

If you’re still not sure if you can get your presentation’s color scheme right, Piktochart makes it easier for you with its Color Schemes feature. It allows you to apply a set of colors to your entire presentation slide in one click.

Piktochart offers two types of Color Schemes for your presentations:

• Suggested: These are pre-designed palettes curated by Piktochart’s designers and are available in most templates. Access them by clicking on the “Colors” option in the editor.
• Brand: Business plan users can create custom color schemes with up to six colors. These can be manually created or extracted from an image. To create a brand color scheme, go to “Brand” and click on “Create Brand Color Scheme”.

You can edit both types of color schemes by clicking the pencil icon. 

This AP research presentation by Madeline Hart showcases the link between birth order and overall creativity. 

Notice how Madeline incorporates vivid colors into her slides. Vivid colors like orange and yellow green are associated with creativity, energy, and enthusiasm. By using these colors, Madeline subtly reinforces her presentation’s theme and creates a visually stimulating experience for her audience.

In addition, while Madeline uses pops of color, her overall slide design likely remains clean and uncluttered. This allows her audience to focus on the content without being overwhelmed by excessive visuals or text. 

5. Guide your audience with smooth, engaging transitions

Transitions should enhance, not overpower, your presentation. Smooth transitions between slides can make your presentation feel polished and professional. Avoid abrupt jumps or jarring effects. Use subtle fades, slides, or dissolves to maintain a sense of flow and continuity.  It’s also worth noting that shorter transitions may feel energetic, while longer ones create a thoughtful atmosphere.

The good news is that Piktochart offers a range of slide transitions to improve the flow and visual appeal of your presentation. Here are some transition effects you can try:

• None: A simple, static transition with no animation.
• Default: Piktochart’s standard transition, usually a subtle fade or slide.
• Concave: A unique transition where the previous slide appears to bend inwards as the next slide takes its place.
• Fade: A gradual transition where the previous slide fades out as the next slide fades in.
• Linear: A simple, horizontal slide transition.
• Zoom: A dynamic transition where the next slide appears to zoom in from a distance.

Experiment with these transitions to find what best suits your research presentation. Learn more about these Piktochart transitions.

6. Remember the 5/5/5 Rule

The 5/5/5 Rule in presentation design is a simple yet powerful guideline designed to prevent your slides from becoming overwhelming walls of text. Here’s a breakdown of the rule:

• 5 lines of text: Aim to keep the text on each slide to a maximum of five lines. This helps prevent information overload and ensures that your key points are easily digestible.
• 5 words per line: Limit each line of text to approximately five words. This makes your slides easier to read and prevents your audience from getting lost in long sentences or complex ideas.
• 5 text-heavy slides: Avoid presenting more than five consecutive slides that are predominantly text-based. Break up the monotony with visuals, graphs, or interactive elements to maintain audience engagement.

Can you break the 5/5/5 Rule? Of course! It’s a guideline, not a law.

There may be times when you need to exceed these limits, such as when presenting complex data or detailed information. However, always strive for clarity and conciseness. If you must include a lot of text, consider using bullet points, breaking up the information into multiple slides, or providing handouts for your audience to reference later.

7. Test your presentation slides on different devices

Your meticulously crafted presentation might look flawless on your laptop screen, but that doesn’t guarantee it will translate well to other viewing environments like on a projector or smartphone.

Testing your slides on various devices is crucial because screen sizes, resolutions, and even operating systems can drastically alter how your presentation appears.

Here’s a quick checklist you can use:

• Your laptop/desktop
• Projector (if using)
• Smartphone (iOS and Android)
• Tablet (iPad or Android)
• Check in both standard and presentation modes.
• Zoom in and out to simulate different viewing distances.
• Test in different web browsers if you’re using online presentation software .
• Get feedback from others viewing your presentation on their devices.

Testing your research presentation on different devices is easy with Piktochart, thanks to its handy share URL feature. With just a few clicks, you can generate a unique link to your presentation and easily share it with colleagues, friends, or anyone else you’d like to get feedback from.

Here’s how it works:

• Create your presentation in Piktochart.
• Click the “Share” button.
• Select “Public on the Web” and click “Copy Link”
• Send the URL to your reviewers.

They can then access your presentation on their own devices and give valuable feedback on how it looks and functions across different screen sizes and platforms. It’s a simple, efficient way to ensure your presentation is polished and accessible to all audiences.

Make impactful research presentations slides with Piktochart

We’ve covered a lot of ground on how to turn your research into a presentation that’ll grab your audience’s attention and leave a lasting impact.

The takeaway here is it’s not just about the facts and figures—it’s about telling a story, being mindful of your fonts, smooth transitions, and keeping things concise. Testing your slides on different devices is a pro move too.

Don’t let your research findings go unnoticed—use Piktochart’s presentation maker to create impactful and thoughtful research presentations. Get your Piktochart free plan if you haven’t yet!

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The 5 Steps of the Marketing Research Process

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Every business encounters challenges or questions that require deeper analysis to arrive at a solution.

How do you price a new product or service so that you’re not too high compared to the competition yet not so low that you’re undervaluing the offering? What’s the best way to establish and market your brand? How will your industry evolve over the next year or two?

These and many other business problems are answered with marketing research, also referred to simply as market research.

What is the marketing research process?

Marketing research is the formal process of collecting data to understand a customer or business problem and providing the information needed to find a solution.

People and teams across an organization, from the CEO to the group responsible for a company’s products, can benefit from marketing research.

Typically, a member of the marketing group spearheads that research project.

This research is invaluable for a number of scenarios. Examples include:

• Launching a new business.
• Introducing a new product or service.
• Building a positioning strategy as part of a marketing plan.
• Determining a roadmap for future enhancements to an existing product or service.
• Deciding on which digital marketing tips to employ in an integrated marketing strategy.

Speaking of integrated marketing, market research results assist the integrated marketing process by:

• Defining a consistent message that research shows works well with customers.
• Identifying the most effective marketing channels to reach your clients.
• Coordinating marketing efforts around the brand story that resonates best with customers, thus reducing duplicated effort and saving money.

The marketing research process includes five steps. Let’s look at each in detail.

Step 1: Define the research objective

The first and most important step in the process is to define the research goal. This involves understanding a key business problem that the research is intended to help solve.

The problem can arise from any area of the organization.

If you’re launching a new product or service, you may need insight into which features are critical to include in the offering. Another problem might be understanding why sales are not growing. Or it could be as specific as deciding the best email marketing software to use.

Research provides the necessary intelligence to arrive at an answer.

For example, my team built a software application that allowed companies to manage their online advertising campaigns. Once we built the app, the next question was "What subsequent capabilities should we add to the product?" I implemented marketing research to determine the set of features most desired by customers to work on next.

Tips for defining the research objective:

The challenge here is to translate a business problem into an objective achievable through research. These suggestions can help.

• Translating business problems: To transform a business problem into a researchable one, think of the market research process as providing concrete information to solve the business problem. From this perspective, you can formulate an achievable research objective. Look at a question like, "Why are sales dropping?" In this case, the research can examine if the item being sold is losing customer appeal due to new competition or factors like outdated capabilities.
• Envision the end result: To point the research in the right direction, visualize what you want the end result to look like. You may not know the answer to the business problem, but you can have a sense for the kind of research output that can help. In my example of the software for advertising campaigns, I envisioned a list of features that were ranked by customers in order of importance. So we designed the research to meet this objective.

Step 2: Design the research approach

After defining the goal, it’s time to design the research project.

The design portion involves determining the methodology to capture research data, specifics around how to execute the chosen methodology, and the sample size necessary to obtain reliable results.

Various methodologies exist to perform marketing research. Choose the appropriate approach to gather the desired data based on your objectives.

Some of the methods to consider include:

• A focus group
• Interviews of those affected by the business problem
• A survey or questionnaire
• Experiments using control and test groups
• Direct observation through ethnographic research

Once the methodology is selected, the details must be ironed out. To ensure the research delivers the necessary results to solve the business problem, a number of decisions must be made. These decisions include:

• Who should participate? Is it your customers, internal staff, or both?
• Which customer segments should be involved: all of them or specific types of customers?
• How should research participants be selected, randomly or by design?
• How many participants are needed to obtain the appropriate sample size?
• What kinds of questions should be asked of participants?
• How can you design the questions to remove any bias that can taint the responses?
• How should responses be collected? Online, in person, over the phone?

Tips for designing the research:

As you can see, a lot of thought goes into designing the research. Here are some tips to help you with this portion of the market research steps.

• Leverage a research specialist: Because the design phase is critical to obtaining reliable research results, I recommend implementing the research through a market research specialist. This specialist knows all the ins and outs to effectively execute your research project including which methodology works best for your goals, how to design the research method, data collection techniques, and how to formulate questions to remove bias. I’ve performed many research methods for various projects, and trying to do it without the help of an expert is akin to taking on a full-time job. If you don’t have a specialist on staff, you can partner with a research firm for the duration of a marketing research project.
• Factor in participant costs: Any research project involves some degree of cost. This is especially true if your participants are customers. It’s challenging to find clients willing to take time out of their busy schedules to help with your project, so expect to provide some type of incentive. This can take the form of a gift card, a cash prize, or discounts on your services. Without an incentive, participant involvement will be low, and you will struggle to achieve the necessary sample size to obtain valid research results.

Step 3: Collect the data

Next comes the data collection process. Launch whatever means of data collection you defined during the design stage. This can be as simple as deploying an online survey tool or as involved as visiting customers to perform in-person interviews or focus groups.

The data collection can even include mining your own CRM software for data insights. This makes sense particularly if your business problem is related to customer acquisition or retention, and you’re using the software for activities such as CRM marketing or database marketing.

The data collection piece must be completed before proceeding to the next phase of the process. Therefore, factor in the appropriate amount of time for this piece when planning out your research project.

Tips for data collection:

This is the heart of the research project, so it’s important this step proceed smoothly. Here are suggestions for making that happen.

• Set a deadline: The data collection should happen over a tight timeline. This ensures external factors out of your control, say, a new competitor entering your market, are minimized so that the data is consistent throughout the course of the collection period.
• Check initial results: Despite the time spent designing the research, you still want to look at the first set of results to be sure you’re obtaining the necessary insights to solve the business problem. It’s possible you forgot to include an important question or you discover participant selection missed a key group. By looking at initial results, you can determine if an adjustment must be made. If so, you’ll have to decide whether or not to keep these initial results since they won’t reflect your changes.
• Send reminders for online collection methods: If you’re collecting data online where participants provide responses on their own time, such as with an online survey, be sure to inform participants of your deadline. Even so, participants will forget. So send a reminder email shortly before your end date and again on the final day you’re collecting responses. This helps you obtain the largest sample size possible.

Step 4: Analyze the results

Now is the time to make sense of the data you’ve collected. The goal is to arrive at the insights you were looking for at the outset.

You’re looking for clear trends or conclusions that speak to how you can solve the problem you defined at the start of the process.

If you analyze the data and cannot determine a clear outcome, it means your sample size was too small or your research design lacked a key component. The latter rarely happens if you looked at initial results during the data collection step. So you’ll need to make adjustments and collect more data.

Depending on the complexity of the research objectives, methodology used, and data points collected, your analysis may require statistical modeling techniques like a regression analysis, calculation of standard deviations, and other means of coalescing around factual, accurate, and reliable data to draw your conclusions.

Tips for analyzing research results:

The data analysis portion can be tricky. Here, a marketing research specialist is invaluable in compiling results, particularly when performing qualitative research such as customer interviews, and performing statistical modeling.

Whether a specialist is available or you’re analyzing the results yourself, here are some helpful tips.

• Look for common characteristics: Group similar responses together in your analysis. For instance, research participants may describe a product you offer in different ways, but it’s clear they are all referring to the same item. In this case, these responses should be tallied together in the final analysis.
• Create visual representations of the data: Once you’ve grouped responses together, you can begin building tables or charts using the data you’ve collected. It’s important to create a visual compilation of research results because this is the primary means of communicating the research outcome to stakeholders and others in the company.
• Call out assumptions: If your research results require you to make some assumptions, highlight this in your analysis.

Step 5: Communicate the results

The marketing research process concludes with the research report. This tool enables sharing of the results, conclusions, and recommendations arising from the analysis.

The report is a document or presentation summarizing the most meaningful takeaways from the research findings. It provides the necessary intelligence for the stakeholders to make informed business decisions.

A typical report begins by restating the research objectives and business problems. From there, present your recommendations to address those problems based on the research outcome.

Note that while the report answers the question that prompted the research in the first place, marketing research is just one input into a business decision, but not the only factor considered by decision-makers.

Tips for communicating results:

All the work up to this point culminates in this research report. See these suggestions for how to finish strong.

• Balance completeness and conciseness: Strike a balance between a thorough report and concisely presenting the findings by separating the main takeaways from any ancillary information, such as the research methodology and underlying assumptions. Include this material in an appendix to the report or in a separate document altogether.
• Convey comprehensible results: The final report should be written for easy understanding. To that end, avoid technical jargon, and focus on insights, answers, and recommendations, not merely a list of facts and figures. To help report recipients digest the information, summarize findings in a visual form like graphs and tables.
• Provide information that serves the research goal: For every chart, fact, or table in the report, consider what it means and the implications. Ask yourself if that piece of information conveys the research conclusions. If not, remove it. We want the final report to remain focused on the objectives that prompted the research in the first place. Including this level of critical thinking to your report makes the research more actionable and meaningful.

Final advice regarding marketing research

The marketing research process, like any other project, requires planning.

Determine the timeframe for completion and identify the required resources and budget to properly execute the market research. Then obtain any necessary approval for these expenditures as part of the design phase of the project.

With the appropriate resources and support behind you, the marketing research project will deliver insightful information to inform your business decisions.

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10.2 Steps in the Marketing Research Process

Learning objective.

• Describe the basic steps in the marketing research process and the purpose of each step.

The basic steps used to conduct marketing research are shown in Figure 10.6 “Steps in the Marketing Research Process” . Next, we discuss each step.

Figure 10.6 Steps in the Marketing Research Process

Step 1: Define the Problem (or Opportunity)

There’s a saying in marketing research that a problem half defined is a problem half solved. Defining the “problem” of the research sounds simple, doesn’t it? Suppose your product is tutoring other students in a subject you’re a whiz at. You have been tutoring for a while, and people have begun to realize you’re darned good at it. Then, suddenly, your business drops off. Or it explodes, and you can’t cope with the number of students you’re being asked help. If the business has exploded, should you try to expand your services? Perhaps you should subcontract with some other “whiz” students. You would send them students to be tutored, and they would give you a cut of their pay for each student you referred to them.

Both of these scenarios would be a problem for you, wouldn’t they? They are problems insofar as they cause you headaches. But are they really the problem? Or are they the symptoms of something bigger? For example, maybe your business has dropped off because your school is experiencing financial trouble and has lowered the number of scholarships given to incoming freshmen. Consequently, there are fewer total students on campus who need your services. Conversely, if you’re swamped with people who want you to tutor them, perhaps your school awarded more scholarships than usual, so there are a greater number of students who need your services. Alternately, perhaps you ran an ad in your school’s college newspaper, and that led to the influx of students wanting you to tutor them.

Businesses are in the same boat you are as a tutor. They take a look at symptoms and try to drill down to the potential causes. If you approach a marketing research company with either scenario—either too much or too little business—the firm will seek more information from you such as the following:

• In what semester(s) did your tutoring revenues fall (or rise)?
• In what subject areas did your tutoring revenues fall (or rise)?
• In what sales channels did revenues fall (or rise): Were there fewer (or more) referrals from professors or other students? Did the ad you ran result in fewer (or more) referrals this month than in the past months?
• Among what demographic groups did your revenues fall (or rise)—women or men, people with certain majors, or first-year, second-, third-, or fourth-year students?

The key is to look at all potential causes so as to narrow the parameters of the study to the information you actually need to make a good decision about how to fix your business if revenues have dropped or whether or not to expand it if your revenues have exploded.

The next task for the researcher is to put into writing the research objective. The research objective is the goal(s) the research is supposed to accomplish. The marketing research objective for your tutoring business might read as follows:

To survey college professors who teach 100- and 200-level math courses to determine why the number of students referred for tutoring dropped in the second semester.

This is admittedly a simple example designed to help you understand the basic concept. If you take a marketing research course, you will learn that research objectives get a lot more complicated than this. The following is an example:

“To gather information from a sample representative of the U.S. population among those who are ‘very likely’ to purchase an automobile within the next 6 months, which assesses preferences (measured on a 1–5 scale ranging from ‘very likely to buy’ to ‘not likely at all to buy’) for the model diesel at three different price levels. Such data would serve as input into a forecasting model that would forecast unit sales, by geographic regions of the country, for each combination of the model’s different prices and fuel configurations (Burns & Bush, 2010).”

Now do you understand why defining the problem is complicated and half the battle? Many a marketing research effort is doomed from the start because the problem was improperly defined. Coke’s ill-fated decision to change the formula of Coca-Cola in 1985 is a case in point: Pepsi had been creeping up on Coke in terms of market share over the years as well as running a successful promotional campaign called the “Pepsi Challenge,” in which consumers were encouraged to do a blind taste test to see if they agreed that Pepsi was better. Coke spent four years researching “the problem.” Indeed, people seemed to like the taste of Pepsi better in blind taste tests. Thus, the formula for Coke was changed. But the outcry among the public was so great that the new formula didn’t last long—a matter of months—before the old formula was reinstated. Some marketing experts believe Coke incorrectly defined the problem as “How can we beat Pepsi in taste tests?” instead of “How can we gain market share against Pepsi?” (Burns & Bush, 2010)

New Coke Is It! 1985

(click to see video)

This video documents the Coca-Cola Company’s ill-fated launch of New Coke in 1985.

1985 Pepsi Commercial—“They Changed My Coke”

This video shows how Pepsi tried to capitalize on the blunder.

Step 2: Design the Research

The next step in the marketing research process is to do a research design. The research design is your “plan of attack.” It outlines what data you are going to gather and from whom, how and when you will collect the data, and how you will analyze it once it’s been obtained. Let’s look at the data you’re going to gather first.

There are two basic types of data you can gather. The first is primary data. Primary data is information you collect yourself, using hands-on tools such as interviews or surveys, specifically for the research project you’re conducting. Secondary data is data that has already been collected by someone else, or data you have already collected for another purpose. Collecting primary data is more time consuming, work intensive, and expensive than collecting secondary data. Consequently, you should always try to collect secondary data first to solve your research problem, if you can. A great deal of research on a wide variety of topics already exists. If this research contains the answer to your question, there is no need for you to replicate it. Why reinvent the wheel?

Sources of Secondary Data

Your company’s internal records are a source of secondary data. So are any data you collect as part of your marketing intelligence gathering efforts. You can also purchase syndicated research. Syndicated research is primary data that marketing research firms collect on a regular basis and sell to other companies. J.D. Power & Associates is a provider of syndicated research. The company conducts independent, unbiased surveys of customer satisfaction, product quality, and buyer behavior for various industries. The company is best known for its research in the automobile sector. One of the best-known sellers of syndicated research is the Nielsen Company, which produces the Nielsen ratings. The Nielsen ratings measure the size of television, radio, and newspaper audiences in various markets. You have probably read or heard about TV shows that get the highest (Nielsen) ratings. (Arbitron does the same thing for radio ratings.) Nielsen, along with its main competitor, Information Resources, Inc. (IRI), also sells businesses scanner-based research . Scanner-based research is information collected by scanners at checkout stands in stores. Each week Nielsen and IRI collect information on the millions of purchases made at stores. The companies then compile the information and sell it to firms in various industries that subscribe to their services. The Nielsen Company has also recently teamed up with Facebook to collect marketing research information. Via Facebook, users will see surveys in some of the spaces in which they used to see online ads (Rappeport, Gelles, 2009).

By contrast, MarketResearch.com is an example of a marketing research aggregator. A marketing research aggregator is a marketing research company that doesn’t conduct its own research and sell it. Instead, it buys research reports from other marketing research companies and then sells the reports in their entirety or in pieces to other firms. Check out MarketResearch.com’s Web site. As you will see there are a huge number of studies in every category imaginable that you can buy for relatively small amounts of money.

Figure 10.7

Market research aggregators buy research reports from other marketing research companies and then resell them in part or in whole to other companies so they don’t have to gather primary data.

Source: http://www.marketresearch.com .

Your local library is a good place to gather free secondary data. It has searchable databases as well as handbooks, dictionaries, and books, some of which you can access online. Government agencies also collect and report information on demographics, economic and employment data, health information, and balance-of-trade statistics, among a lot of other information. The U.S. Census Bureau collects census data every ten years to gather information about who lives where. Basic demographic information about sex, age, race, and types of housing in which people live in each U.S. state, metropolitan area, and rural area is gathered so that population shifts can be tracked for various purposes, including determining the number of legislators each state should have in the U.S. House of Representatives. For the U.S. government, this is primary data. For marketing managers it is an important source of secondary data.

The Survey Research Center at the University of Michigan also conducts periodic surveys and publishes information about trends in the United States. One research study the center continually conducts is called the “Changing Lives of American Families” ( http://www.isr.umich.edu/home/news/research-update/2007-01.pdf ). This is important research data for marketing managers monitoring consumer trends in the marketplace. The World Bank and the United Nations are two international organizations that collect a great deal of information. Their Web sites contain many free research studies and data related to global markets. Table 10.1 “Examples of Primary Data Sources versus Secondary Data Sources” shows some examples of primary versus secondary data sources.

Table 10.1 Examples of Primary Data Sources versus Secondary Data Sources

Gauging the Quality of Secondary Data

When you are gathering secondary information, it’s always good to be a little skeptical of it. Sometimes studies are commissioned to produce the result a client wants to hear—or wants the public to hear. For example, throughout the twentieth century, numerous studies found that smoking was good for people’s health. The problem was the studies were commissioned by the tobacco industry. Web research can also pose certain hazards. There are many biased sites that try to fool people that they are providing good data. Often the data is favorable to the products they are trying to sell. Beware of product reviews as well. Unscrupulous sellers sometimes get online and create bogus ratings for products. See below for questions you can ask to help gauge the credibility of secondary information.

Gauging the Credibility of Secondary Data: Questions to Ask

• Who gathered this information?
• For what purpose?
• What does the person or organization that gathered the information have to gain by doing so?
• Was the information gathered and reported in a systematic manner?
• Is the source of the information accepted as an authority by other experts in the field?
• Does the article provide objective evidence to support the position presented?

Types of Research Design

Now let’s look specifically at the types of research designs that are utilized. By understanding different types of research designs, a researcher can solve a client’s problems more quickly and efficiently without jumping through more hoops than necessary. Research designs fall into one of the following three categories:

• Exploratory research design
• Descriptive research design
• Causal research design (experiments)

An exploratory research design is useful when you are initially investigating a problem but you haven’t defined it well enough to do an in-depth study of it. Perhaps via your regular market intelligence, you have spotted what appears to be a new opportunity in the marketplace. You would then do exploratory research to investigate it further and “get your feet wet,” as the saying goes. Exploratory research is less structured than other types of research, and secondary data is often utilized.

One form of exploratory research is qualitative research. Qualitative research is any form of research that includes gathering data that is not quantitative, and often involves exploring questions such as why as much as what or how much . Different forms, such as depth interviews and focus group interviews, are common in marketing research.

The depth interview —engaging in detailed, one-on-one, question-and-answer sessions with potential buyers—is an exploratory research technique. However, unlike surveys, the people being interviewed aren’t asked a series of standard questions. Instead the interviewer is armed with some general topics and asks questions that are open ended, meaning that they allow the interviewee to elaborate. “How did you feel about the product after you purchased it?” is an example of a question that might be asked. A depth interview also allows a researcher to ask logical follow-up questions such as “Can you tell me what you mean when you say you felt uncomfortable using the service?” or “Can you give me some examples?” to help dig further and shed additional light on the research problem. Depth interviews can be conducted in person or over the phone. The interviewer either takes notes or records the interview.

Focus groups and case studies are often utilized for exploratory research as well. A focus group is a group of potential buyers who are brought together to discuss a marketing research topic with one another. A moderator is used to focus the discussion, the sessions are recorded, and the main points of consensus are later summarized by the market researcher. Textbook publishers often gather groups of professors at educational conferences to participate in focus groups. However, focus groups can also be conducted on the telephone, in online chat rooms, or both, using meeting software like WebEx. The basic steps of conducting a focus group are outlined below.

The Basic Steps of Conducting a Focus Group

• Establish the objectives of the focus group. What is its purpose?
• Identify the people who will participate in the focus group. What makes them qualified to participate? How many of them will you need and what they will be paid?
• Obtain contact information for the participants and send out invitations (usually e-mails are most efficient).
• Develop a list of questions.
• Choose a facilitator.
• Choose a location in which to hold the focus group and the method by which it will be recorded.
• Conduct the focus group. If the focus group is not conducted electronically, include name tags for the participants, pens and notepads, any materials the participants need to see, and refreshments. Record participants’ responses.
• Summarize the notes from the focus group and write a report for management.

A case study looks at how another company solved the problem that’s being researched. Sometimes multiple cases, or companies, are used in a study. Case studies nonetheless have a mixed reputation. Some researchers believe it’s hard to generalize, or apply, the results of a case study to other companies. Nonetheless, collecting information about companies that encountered the same problems your firm is facing can give you a certain amount of insight about what direction you should take. In fact, one way to begin a research project is to carefully study a successful product or service.

Two other types of qualitative data used for exploratory research are ethnographies and projective techniques. In an ethnography , researchers interview, observe, and often videotape people while they work, live, shop, and play. The Walt Disney Company has recently begun using ethnographers to uncover the likes and dislikes of boys aged six to fourteen, a financially attractive market segment for Disney, but one in which the company has been losing market share. The ethnographers visit the homes of boys, observe the things they have in their rooms to get a sense of their hobbies, and accompany them and their mothers when they shop to see where they go, what the boys are interested in, and what they ultimately buy. (The children get seventy-five dollars out of the deal, incidentally.) (Barnes, 2009)

Projective techniques are used to reveal information research respondents might not reveal by being asked directly. Asking a person to complete sentences such as the following is one technique:

People who buy Coach handbags __________.

(Will he or she reply with “are cool,” “are affluent,” or “are pretentious,” for example?)

KFC’s grilled chicken is ______.

Or the person might be asked to finish a story that presents a certain scenario. Word associations are also used to discern people’s underlying attitudes toward goods and services. Using a word-association technique, a market researcher asks a person to say or write the first word that comes to his or her mind in response to another word. If the initial word is “fast food,” what word does the person associate it with or respond with? Is it “McDonald’s”? If many people reply that way, and you’re conducting research for Burger King, that could indicate Burger King has a problem. However, if the research is being conducted for Wendy’s, which recently began running an advertising campaign to the effect that Wendy’s offerings are “better than fast food,” it could indicate that the campaign is working.

Completing cartoons is yet another type of projective technique. It’s similar to finishing a sentence or story, only with the pictures. People are asked to look at a cartoon such as the one shown in Figure 10.8 “Example of a Cartoon-Completion Projective Technique” . One of the characters in the picture will have made a statement, and the person is asked to fill in the empty cartoon “bubble” with how they think the second character will respond.

Figure 10.8 Example of a Cartoon-Completion Projective Technique

In some cases, your research might end with exploratory research. Perhaps you have discovered your organization lacks the resources needed to produce the product. In other cases, you might decide you need more in-depth, quantitative research such as descriptive research or causal research, which are discussed next. Most marketing research professionals advise using both types of research, if it’s feasible. On the one hand, the qualitative-type research used in exploratory research is often considered too “lightweight.” Remember earlier in the chapter when we discussed telephone answering machines and the hit TV sitcom Seinfeld ? Both product ideas were initially rejected by focus groups. On the other hand, relying solely on quantitative information often results in market research that lacks ideas.

The Stone Wheel—What One Focus Group Said

Watch the video to see a funny spoof on the usefulness—or lack of usefulness—of focus groups.

Descriptive Research

Anything that can be observed and counted falls into the category of descriptive research design. A study using a descriptive research design involves gathering hard numbers, often via surveys, to describe or measure a phenomenon so as to answer the questions of who , what , where , when , and how . “On a scale of 1–5, how satisfied were you with your service?” is a question that illustrates the information a descriptive research design is supposed to capture.

Physiological measurements also fall into the category of descriptive design. Physiological measurements measure people’s involuntary physical responses to marketing stimuli, such as an advertisement. Elsewhere, we explained that researchers have gone so far as to scan the brains of consumers to see what they really think about products versus what they say about them. Eye tracking is another cutting-edge type of physiological measurement. It involves recording the movements of a person’s eyes when they look at some sort of stimulus, such as a banner ad or a Web page. The Walt Disney Company has a research facility in Austin, Texas, that it uses to take physical measurements of viewers when they see Disney programs and advertisements. The facility measures three types of responses: people’s heart rates, skin changes, and eye movements (eye tracking) (Spangler, 2009).

Figure 10.9

A woman shows off her headgear for an eye-tracking study. The gear’s not exactly a fashion statement but . . .

lawrencegs – Google Glass – CC BY 2.0.

A strictly descriptive research design instrument—a survey, for example—can tell you how satisfied your customers are. It can’t, however, tell you why. Nor can an eye-tracking study tell you why people’s eyes tend to dwell on certain types of banner ads—only that they do. To answer “why” questions an exploratory research design or causal research design is needed (Wagner, 2007).

Causal Research

Causal research design examines cause-and-effect relationships. Using a causal research design allows researchers to answer “what if” types of questions. In other words, if a firm changes X (say, a product’s price, design, placement, or advertising), what will happen to Y (say, sales or customer loyalty)? To conduct causal research, the researcher designs an experiment that “controls,” or holds constant, all of a product’s marketing elements except one (or using advanced techniques of research, a few elements can be studied at the same time). The one variable is changed, and the effect is then measured. Sometimes the experiments are conducted in a laboratory using a simulated setting designed to replicate the conditions buyers would experience. Or the experiments may be conducted in a virtual computer setting.

You might think setting up an experiment in a virtual world such as the online game Second Life would be a viable way to conduct controlled marketing research. Some companies have tried to use Second Life for this purpose, but the results have been somewhat mixed as to whether or not it is a good medium for marketing research. The German marketing research firm Komjuniti was one of the first “real-world” companies to set up an “island” in Second Life upon which it could conduct marketing research. However, with so many other attractive fantasy islands in which to play, the company found it difficult to get Second Life residents, or players, to voluntarily visit the island and stay long enough so meaningful research could be conducted. (Plus, the “residents,” or players, in Second Life have been known to protest corporations invading their world. When the German firm Komjuniti created an island in Second Life to conduct marketing research, the residents showed up waving signs and threatening to boycott the island.) (Wagner, 2007)

Why is being able to control the setting so important? Let’s say you are an American flag manufacturer and you are working with Walmart to conduct an experiment to see where in its stores American flags should be placed so as to increase their sales. Then the terrorist attacks of 9/11 occur. In the days afterward, sales skyrocketed—people bought flags no matter where they were displayed. Obviously, the terrorist attacks in the United States would have skewed the experiment’s data.

An experiment conducted in a natural setting such as a store is referred to as a field experiment . Companies sometimes do field experiments either because it is more convenient or because they want to see if buyers will behave the same way in the “real world” as in a laboratory or on a computer. The place the experiment is conducted or the demographic group of people the experiment is administered to is considered the test market . Before a large company rolls out a product to the entire marketplace, it will often place the offering in a test market to see how well it will be received. For example, to compete with MillerCoors’ sixty-four-calorie beer MGD 64, Anheuser-Busch recently began testing its Select 55 beer in certain cities around the country (McWilliams, 2009).

Figure 10.10

Select 55 beer: Coming soon to a test market near you? (If you’re on a diet, you have to hope so!)

Martine – Le champagne – CC BY-NC 2.0.

Many companies use experiments to test all of their marketing communications. For example, the online discount retailer O.co (formerly called Overstock.com) carefully tests all of its marketing offers and tracks the results of each one. One study the company conducted combined twenty-six different variables related to offers e-mailed to several thousand customers. The study resulted in a decision to send a group of e-mails to different segments. The company then tracked the results of the sales generated to see if they were in line with the earlier experiment it had conducted that led it to make the offer.

Step 3: Design the Data-Collection Forms

If the behavior of buyers is being formally observed, and a number of different researchers are conducting observations, the data obviously need to be recorded on a standardized data-collection form that’s either paper or electronic. Otherwise, the data collected will not be comparable. The items on the form could include a shopper’s sex; his or her approximate age; whether the person seemed hurried, moderately hurried, or unhurried; and whether or not he or she read the label on products, used coupons, and so forth.

The same is true when it comes to surveying people with questionnaires. Surveying people is one of the most commonly used techniques to collect quantitative data. Surveys are popular because they can be easily administered to large numbers of people fairly quickly. However, to produce the best results, the questionnaire for the survey needs to be carefully designed.

Questionnaire Design

Most questionnaires follow a similar format: They begin with an introduction describing what the study is for, followed by instructions for completing the questionnaire and, if necessary, returning it to the market researcher. The first few questions that appear on the questionnaire are usually basic, warm-up type of questions the respondent can readily answer, such as the respondent’s age, level of education, place of residence, and so forth. The warm-up questions are then followed by a logical progression of more detailed, in-depth questions that get to the heart of the question being researched. Lastly, the questionnaire wraps up with a statement that thanks the respondent for participating in the survey and information and explains when and how they will be paid for participating. To see some examples of questionnaires and how they are laid out, click on the following link: http://cas.uah.edu/wrenb/mkt343/Project/Sample%20Questionnaires.htm .

How the questions themselves are worded is extremely important. It’s human nature for respondents to want to provide the “correct” answers to the person administering the survey, so as to seem agreeable. Therefore, there is always a hazard that people will try to tell you what you want to hear on a survey. Consequently, care needs to be taken that the survey questions are written in an unbiased, neutral way. In other words, they shouldn’t lead a person taking the questionnaire to answer a question one way or another by virtue of the way you have worded it. The following is an example of a leading question.

Don’t you agree that teachers should be paid more ?

The questions also need to be clear and unambiguous. Consider the following question:

Which brand of toothpaste do you use ?

The question sounds clear enough, but is it really? What if the respondent recently switched brands? What if she uses Crest at home, but while away from home or traveling, she uses Colgate’s Wisp portable toothpaste-and-brush product? How will the respondent answer the question? Rewording the question as follows so it’s more specific will help make the question clearer:

Which brand of toothpaste have you used at home in the past six months? If you have used more than one brand, please list each of them 1 .

Sensitive questions have to be asked carefully. For example, asking a respondent, “Do you consider yourself a light, moderate, or heavy drinker?” can be tricky. Few people want to admit to being heavy drinkers. You can “soften” the question by including a range of answers, as the following example shows:

How many alcoholic beverages do you consume in a week ?

• __0–5 alcoholic beverages
• __5–10 alcoholic beverages
• __10–15 alcoholic beverages

Many people don’t like to answer questions about their income levels. Asking them to specify income ranges rather than divulge their actual incomes can help.

Other research question “don’ts” include using jargon and acronyms that could confuse people. “How often do you IM?” is an example. Also, don’t muddy the waters by asking two questions in the same question, something researchers refer to as a double-barreled question . “Do you think parents should spend more time with their children and/or their teachers?” is an example of a double-barreled question.

Open-ended questions , or questions that ask respondents to elaborate, can be included. However, they are harder to tabulate than closed-ended questions , or questions that limit a respondent’s answers. Multiple-choice and yes-and-no questions are examples of closed-ended questions.

Testing the Questionnaire

You have probably heard the phrase “garbage in, garbage out.” If the questions are bad, the information gathered will be bad, too. One way to make sure you don’t end up with garbage is to test the questionnaire before sending it out to find out if there are any problems with it. Is there enough space for people to elaborate on open-ended questions? Is the font readable? To test the questionnaire, marketing research professionals first administer it to a number of respondents face to face. This gives the respondents the chance to ask the researcher about questions or instructions that are unclear or don’t make sense to them. The researcher then administers the questionnaire to a small subset of respondents in the actual way the survey is going to be disseminated, whether it’s delivered via phone, in person, by mail, or online.

Getting people to participate and complete questionnaires can be difficult. If the questionnaire is too long or hard to read, many people won’t complete it. So, by all means, eliminate any questions that aren’t necessary. Of course, including some sort of monetary incentive for completing the survey can increase the number of completed questionnaires a market researcher will receive.

Step 4: Specify the Sample

Once you have created your questionnaire or other marketing study, how do you figure out who should participate in it? Obviously, you can’t survey or observe all potential buyers in the marketplace. Instead, you must choose a sample. A sample is a subset of potential buyers that are representative of your entire target market, or population being studied. Sometimes market researchers refer to the population as the universe to reflect the fact that it includes the entire target market, whether it consists of a million people, a hundred thousand, a few hundred, or a dozen. “All unmarried people over the age of eighteen who purchased Dirt Devil steam cleaners in the United States during 2011” is an example of a population that has been defined.

Obviously, the population has to be defined correctly. Otherwise, you will be studying the wrong group of people. Not defining the population correctly can result in flawed research, or sampling error. A sampling error is any type of marketing research mistake that results because a sample was utilized. One criticism of Internet surveys is that the people who take these surveys don’t really represent the overall population. On average, Internet survey takers tend to be more educated and tech savvy. Consequently, if they solely constitute your population, even if you screen them for certain criteria, the data you collect could end up being skewed.

The next step is to put together the sampling frame , which is the list from which the sample is drawn. The sampling frame can be put together using a directory, customer list, or membership roster (Wrenn et. al., 2007). Keep in mind that the sampling frame won’t perfectly match the population. Some people will be included on the list who shouldn’t be. Other people who should be included will be inadvertently omitted. It’s no different than if you were to conduct a survey of, say, 25 percent of your friends, using friends’ names you have in your cell phone. Most of your friends’ names are likely to be programmed into your phone, but not all of them. As a result, a certain degree of sampling error always occurs.

There are two main categories of samples in terms of how they are drawn: probability samples and nonprobability samples. A probability sample is one in which each would-be participant has a known and equal chance of being selected. The chance is known because the total number of people in the sampling frame is known. For example, if every other person from the sampling frame were chosen, each person would have a 50 percent chance of being selected.

A nonprobability sample is any type of sample that’s not drawn in a systematic way. So the chances of each would-be participant being selected can’t be known. A convenience sample is one type of nonprobability sample. It is a sample a researcher draws because it’s readily available and convenient to do so. Surveying people on the street as they pass by is an example of a convenience sample. The question is, are these people representative of the target market?

For example, suppose a grocery store needed to quickly conduct some research on shoppers to get ready for an upcoming promotion. Now suppose that the researcher assigned to the project showed up between the hours of 10 a.m. and 12 p.m. on a weekday and surveyed as many shoppers as possible. The problem is that the shoppers wouldn’t be representative of the store’s entire target market. What about commuters who stop at the store before and after work? Their views wouldn’t be represented. Neither would people who work the night shift or shop at odd hours. As a result, there would be a lot of room for sampling error in this study. For this reason, studies that use nonprobability samples aren’t considered as accurate as studies that use probability samples. Nonprobability samples are more often used in exploratory research.

Lastly, the size of the sample has an effect on the amount of sampling error. Larger samples generally produce more accurate results. The larger your sample is, the more data you will have, which will give you a more complete picture of what you’re studying. However, the more people surveyed or studied, the more costly the research becomes.

Statistics can be used to determine a sample’s optimal size. If you take a marketing research or statistics class, you will learn more about how to determine the optimal size.

Of course, if you hire a marketing research company, much of this work will be taken care of for you. Many marketing research companies, like ResearchNow, maintain panels of prescreened people they draw upon for samples. In addition, the marketing research firm will be responsible for collecting the data or contracting with a company that specializes in data collection. Data collection is discussed next.

Step 5: Collect the Data

As we have explained, primary marketing research data can be gathered in a number of ways. Surveys, taking physical measurements, and observing people are just three of the ways we discussed. If you’re observing customers as part of gathering the data, keep in mind that if shoppers are aware of the fact, it can have an effect on their behavior. For example, if a customer shopping for feminine hygiene products in a supermarket aisle realizes she is being watched, she could become embarrassed and leave the aisle, which would adversely affect your data. To get around problems such as these, some companies set up cameras or two-way mirrors to observe customers. Organizations also hire mystery shoppers to work around the problem. A mystery shopper is someone who is paid to shop at a firm’s establishment or one of its competitors to observe the level of service, cleanliness of the facility, and so forth, and report his or her findings to the firm.

Make Extra Money as a Mystery Shopper

Watch the YouTube video to get an idea of how mystery shopping works.

Survey data can be collected in many different ways and combinations of ways. The following are the basic methods used:

• Face-to-face (can be computer aided)
• Telephone (can be computer aided or completely automated)
• Mail and hand delivery
• E-mail and the Web

A face-to-face survey is, of course, administered by a person. The surveys are conducted in public places such as in shopping malls, on the street, or in people’s homes if they have agreed to it. In years past, it was common for researchers in the United States to knock on people’s doors to gather survey data. However, randomly collected door-to-door interviews are less common today, partly because people are afraid of crime and are reluctant to give information to strangers (McDaniel & Gates, 1998).

Nonetheless, “beating the streets” is still a legitimate way questionnaire data is collected. When the U.S. Census Bureau collects data on the nation’s population, it hand delivers questionnaires to rural households that do not have street-name and house-number addresses. And Census Bureau workers personally survey the homeless to collect information about their numbers. Face-to-face surveys are also commonly used in third world countries to collect information from people who cannot read or lack phones and computers.

A plus of face-to-face surveys is that they allow researchers to ask lengthier, more complex questions because the people being surveyed can see and read the questionnaires. The same is true when a computer is utilized. For example, the researcher might ask the respondent to look at a list of ten retail stores and rank the stores from best to worst. The same question wouldn’t work so well over the telephone because the person couldn’t see the list. The question would have to be rewritten. Another drawback with telephone surveys is that even though federal and state “do not call” laws generally don’t prohibit companies from gathering survey information over the phone, people often screen such calls using answering machines and caller ID.

Probably the biggest drawback of both surveys conducted face-to-face and administered over the phone by a person is that they are labor intensive and therefore costly. Mailing out questionnaires is costly, too, and the response rates can be rather low. Think about why that might be so: if you receive a questionnaire in the mail, it is easy to throw it in the trash; it’s harder to tell a market researcher who approaches you on the street that you don’t want to be interviewed.

By contrast, gathering survey data collected by a computer, either over the telephone or on the Internet, can be very cost-effective and in some cases free. SurveyMonkey and Zoomerang are two Web sites that will allow you to create online questionnaires, e-mail them to up to one hundred people for free, and view the responses in real time as they come in. For larger surveys, you have to pay a subscription price of a few hundred dollars. But that still can be extremely cost-effective. The two Web sites also have a host of other features such as online-survey templates you can use to create your questionnaire, a way to set up automatic reminders sent to people who haven’t yet completed their surveys, and tools you can use to create graphics to put in your final research report. To see how easy it is to put together a survey in SurveyMonkey, click on the following link: http://help.surveymonkey.com/app/tutorials/detail/a_id/423 .

Like a face-to-face survey, an Internet survey can enable you to show buyers different visuals such as ads, pictures, and videos of products and their packaging. Web surveys are also fast, which is a major plus. Whereas face-to-face and mailed surveys often take weeks to collect, you can conduct a Web survey in a matter of days or even hours. And, of course, because the information is electronically gathered it can be automatically tabulated. You can also potentially reach a broader geographic group than you could if you had to personally interview people. The Zoomerang Web site allows you to create surveys in forty different languages.

Another plus for Web and computer surveys (and electronic phone surveys) is that there is less room for human error because the surveys are administered electronically. For instance, there’s no risk that the interviewer will ask a question wrong or use a tone of voice that could mislead the respondents. Respondents are also likely to feel more comfortable inputting the information into a computer if a question is sensitive than they would divulging the information to another person face-to-face or over the phone. Given all of these advantages, it’s not surprising that the Internet is quickly becoming the top way to collect primary data. However, like mail surveys, surveys sent to people over the Internet are easy to ignore.

Lastly, before the data collection process begins, the surveyors and observers need to be trained to look for the same things, ask questions the same way, and so forth. If they are using rankings or rating scales, they need to be “on the same page,” so to speak, as to what constitutes a high ranking or a low ranking. As an analogy, you have probably had some teachers grade your college papers harder than others. The goal of training is to avoid a wide disparity between how different observers and interviewers record the data.

Figure 10.11

Training people so they know what constitutes different ratings when they are collecting data will improve the quality of the information gathered in a marketing research study.

Ricardo Rodriquez – Satisfaction survey – CC BY-NC-ND 2.0.

For example, if an observation form asks the observers to describe whether a shopper’s behavior is hurried, moderately hurried, or unhurried, they should be given an idea of what defines each rating. Does it depend on how much time the person spends in the store or in the individual aisles? How fast they walk? In other words, the criteria and ratings need to be spelled out.

Collecting International Marketing Research Data

Gathering marketing research data in foreign countries poses special challenges. However, that doesn’t stop firms from doing so. Marketing research companies are located all across the globe, in fact. Eight of the ten largest marketing research companies in the world are headquartered in the United States. However, five of these eight firms earn more of their revenues abroad than they do in the United States. There’s a reason for this: many U.S. markets were saturated, or tapped out, long ago in terms of the amount that they can grow. Coke is an example. As you learned earlier in the book, most of the Coca-Cola Company’s revenues are earned in markets abroad. To be sure, the United States is still a huge market when it comes to the revenues marketing research firms generate by conducting research in the country: in terms of their spending, American consumers fuel the world’s economic engine. Still, emerging countries with growing middle classes, such as China, India, and Brazil, are hot new markets companies want to tap.

What kind of challenges do firms face when trying to conduct marketing research abroad? As we explained, face-to-face surveys are commonly used in third world countries to collect information from people who cannot read or lack phones and computers. However, face-to-face surveys are also common in Europe, despite the fact that phones and computers are readily available. In-home surveys are also common in parts of Europe. By contrast, in some countries, including many Asian countries, it’s considered taboo or rude to try to gather information from strangers either face-to-face or over the phone. In many Muslim countries, women are forbidden to talk to strangers.

And how do you figure out whom to research in foreign countries? That in itself is a problem. In the United States, researchers often ask if they can talk to the heads of households to conduct marketing research. But in countries in which domestic servants or employees are common, the heads of households aren’t necessarily the principal shoppers; their domestic employees are (Malhotra).

Translating surveys is also an issue. Have you ever watched the TV comedians Jay Leno and David Letterman make fun of the English translations found on ethnic menus and products? Research tools such as surveys can suffer from the same problem. Hiring someone who is bilingual to translate a survey into another language can be a disaster if the person isn’t a native speaker of the language to which the survey is being translated.

One way companies try to deal with translation problems is by using back translation. When back translation is used, a native speaker translates the survey into the foreign language and then translates it back again to the original language to determine if there were gaps in meaning—that is, if anything was lost in translation. And it’s not just the language that’s an issue. If the research involves any visual images, they, too, could be a point of confusion. Certain colors, shapes, and symbols can have negative connotations in other countries. For example, the color white represents purity in many Western cultures, but in China, it is the color of death and mourning (Zouhali-Worrall, 2008). Also, look back at the cartoon-completion exercise in Figure 10.8 “Example of a Cartoon-Completion Projective Technique” . What would women in Muslim countries who aren’t allowed to converse with male sellers think of it? Chances are, the cartoon wouldn’t provide you with the information you’re seeking if Muslim women in some countries were asked to complete it.

One way marketing research companies are dealing with the complexities of global research is by merging with or acquiring marketing research companies abroad. The Nielsen Company is the largest marketing research company in the world. The firm operates in more than a hundred countries and employs more than forty thousand people. Many of its expansions have been the result of acquisitions and mergers.

Step 6: Analyze the Data

Step 6 involves analyzing the data to ensure it’s as accurate as possible. If the research is collected by hand using a pen and pencil, it’s entered into a computer. Or respondents might have already entered the information directly into a computer. For example, when Toyota goes to an event such as a car show, the automaker’s marketing personnel ask would-be buyers to complete questionnaires directly on computers. Companies are also beginning to experiment with software that can be used to collect data using mobile phones.

Once all the data is collected, the researchers begin the data cleaning , which is the process of removing data that have accidentally been duplicated (entered twice into the computer) or correcting data that have obviously been recorded wrong. A program such as Microsoft Excel or a statistical program such as Predictive Analytics Software (PASW, which was formerly known as SPSS) is then used to tabulate, or calculate, the basic results of the research, such as the total number of participants and how collectively they answered various questions. The programs can also be used to calculate averages, such as the average age of respondents, their average satisfaction, and so forth. The same can done for percentages, and other values you learned about, or will learn about, in a statistics course, such as the standard deviation, mean, and median for each question.

The information generated by the programs can be used to draw conclusions, such as what all customers might like or not like about an offering based on what the sample group liked or did not like. The information can also be used to spot differences among groups of people. For example, the research might show that people in one area of the country like the product better than people in another area. Trends to predict what might happen in the future can also be spotted.

If there are any open-ended questions respondents have elaborated upon—for example, “Explain why you like the current brand you use better than any other brand”—the answers to each are pasted together, one on top of another, so researchers can compare and summarize the information. As we have explained, qualitative information such as this can give you a fuller picture of the results of the research.

Part of analyzing the data is to see if it seems sound. Does the way in which the research was conducted seem sound? Was the sample size large enough? Are the conclusions that become apparent from it reasonable?

The two most commonly used criteria used to test the soundness of a study are (1) validity and (2) reliability. A study is valid if it actually tested what it was designed to test. For example, did the experiment you ran in Second Life test what it was designed to test? Did it reflect what could really happen in the real world? If not, the research isn’t valid. If you were to repeat the study, and get the same results (or nearly the same results), the research is said to be reliable . If you get a drastically different result if you repeat the study, it’s not reliable. The data collected, or at least some it, can also be compared to, or reconciled with, similar data from other sources either gathered by your firm or by another organization to see if the information seems on target.

Stage 7: Write the Research Report and Present Its Findings

If you end up becoming a marketing professional and conducting a research study after you graduate, hopefully you will do a great job putting the study together. You will have defined the problem correctly, chosen the right sample, collected the data accurately, analyzed it, and your findings will be sound. At that point, you will be required to write the research report and perhaps present it to an audience of decision makers. You will do so via a written report and, in some cases, a slide or PowerPoint presentation based on your written report.

The six basic elements of a research report are as follows.

• Title Page . The title page explains what the report is about, when it was conducted and by whom, and who requested it.
• Table of Contents . The table of contents outlines the major parts of the report, as well as any graphs and charts, and the page numbers on which they can be found.
• Executive Summary . The executive summary summarizes all the details in the report in a very quick way. Many people who receive the report—both executives and nonexecutives—won’t have time to read the entire report. Instead, they will rely on the executive summary to quickly get an idea of the study’s results and what to do about those results.

Methodology and Limitations . The methodology section of the report explains the technical details of how the research was designed and conducted. The section explains, for example, how the data was collected and by whom, the size of the sample, how it was chosen, and whom or what it consisted of (e.g., the number of women versus men or children versus adults). It also includes information about the statistical techniques used to analyze the data.

Every study has errors—sampling errors, interviewer errors, and so forth. The methodology section should explain these details, so decision makers can consider their overall impact. The margin of error is the overall tendency of the study to be off kilter—that is, how far it could have gone wrong in either direction. Remember how newscasters present the presidential polls before an election? They always say, “This candidate is ahead 48 to 44 percent, plus or minus 2 percent.” That “plus or minus” is the margin of error. The larger the margin of error is, the less likely the results of the study are accurate. The margin of error needs to be included in the methodology section.

• Findings . The findings section is a longer, fleshed-out version of the executive summary that goes into more detail about the statistics uncovered by the research that bolster the study’s findings. If you have related research or secondary data on hand that back up the findings, it can be included to help show the study did what it was designed to do.
• Recommendations . The recommendations section should outline the course of action you think should be taken based on the findings of the research and the purpose of the project. For example, if you conducted a global market research study to identify new locations for stores, make a recommendation for the locations (Mersdorf, 2009).

As we have said, these are the basic sections of a marketing research report. However, additional sections can be added as needed. For example, you might need to add a section on the competition and each firm’s market share. If you’re trying to decide on different supply chain options, you will need to include a section on that topic.

As you write the research report, keep your audience in mind. Don’t use technical jargon decision makers and other people reading the report won’t understand. If technical terms must be used, explain them. Also, proofread the document to ferret out any grammatical errors and typos, and ask a couple of other people to proofread behind you to catch any mistakes you might have missed. If your research report is riddled with errors, its credibility will be undermined, even if the findings and recommendations you make are extremely accurate.

Many research reports are presented via PowerPoint. If you’re asked to create a slideshow presentation from the report, don’t try to include every detail in the report on the slides. The information will be too long and tedious for people attending the presentation to read through. And if they do go to the trouble of reading all the information, they probably won’t be listening to the speaker who is making the presentation.

Instead of including all the information from the study in the slides, boil each section of the report down to key points and add some “talking points” only the presenter will see. After or during the presentation, you can give the attendees the longer, paper version of the report so they can read the details at a convenient time, if they choose to.

Key Takeaway

Step 1 in the marketing research process is to define the problem. Businesses take a look at what they believe are symptoms and try to drill down to the potential causes so as to precisely define the problem. The next task for the researcher is to put into writing the research objective, or goal, the research is supposed to accomplish. Step 2 in the process is to design the research. The research design is the “plan of attack.” It outlines what data you are going to gather, from whom, how, and when, and how you’re going to analyze it once it has been obtained. Step 3 is to design the data-collection forms, which need to be standardized so the information gathered on each is comparable. Surveys are a popular way to gather data because they can be easily administered to large numbers of people fairly quickly. However, to produce the best results, survey questionnaires need to be carefully designed and pretested before they are used. Step 4 is drawing the sample, or a subset of potential buyers who are representative of your entire target market. If the sample is not correctly selected, the research will be flawed. Step 5 is to actually collect the data, whether it’s collected by a person face-to-face, over the phone, or with the help of computers or the Internet. The data-collection process is often different in foreign countries. Step 6 is to analyze the data collected for any obvious errors, tabulate the data, and then draw conclusions from it based on the results. The last step in the process, Step 7, is writing the research report and presenting the findings to decision makers.

Review Questions

• Explain why it’s important to carefully define the problem or opportunity a marketing research study is designed to investigate.
• Describe the different types of problems that can occur when marketing research professionals develop questions for surveys.
• How does a probability sample differ from a nonprobability sample?
• What makes a marketing research study valid? What makes a marketing research study reliable?
• What sections should be included in a marketing research report? What is each section designed to do?

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Barnes, B., “Disney Expert Uses Science to Draw Boy Viewers,” New York Times , April 15, 2009, http://www.nytimes.com/2009/04/14/arts/television/14boys.html?pagewanted=1&_r=1 (accessed December 14, 2009).

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Principles of Marketing Copyright © 2015 by University of Minnesota is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

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Presenting the Results

• First Online: 09 July 2024

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• V. Kumar 2  

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Research does not stop with finding the solutions to the proposed problems. Communicating the proposed solution to the stakeholders plays a very important role. Often, researchers get too involved in the technical aspects of analyzing data and forget the fact that the application of mathematical and statistical outputs is most important. Presentation of results plays a very significant role in marketing and has a special place in the context of international marketing research. A typical marketing research process will involve two presentations—the proposal and the findings. Presenting the proposal is very important to the researcher as the client decides to proceed with the study based on this presentation. Presenting the results is also important as it addresses the decisions associated with the research purpose. Some managers evaluate the entire research process solely based on the presentation, so researchers have a lot riding on the presentation. Results are presented in both written and oral formats, and guidelines for both formats are discussed in this chapter.

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Kumar, V. (2024). Presenting the Results. In: International Marketing Research. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-031-54650-1_16

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Practical Marketing Research

10. how to present the findings.

(Textbook page 389)

This textbook unit discusses basic communications principles and approaches to report writing, presentations and workshops to ensure research findings are accessible, useable and shareable within the client organization.  

Deliverables can include: 

• the full set of research instruments (questionnaires, sampling and tab plans)
• field disposition reports (number of interviews completed and incidence and qualification rates)
• a topline report (an early and succinct view into the data focused only on key objectives)
• the final deliverable (could include raw data, data cross-tabulations, a written report and a personal presentation and/or workshop)

Structure of a Formal Research Report (P.391)

Deliverables should be in formats that can be used and circulated within the client organization with minimal changes – sometimes a delicate balance between the client’s style sheet and the supplier’s own branding.  Most reports should include:

• Title or Cover Page – provides the study name, names of the research house and client, and the date.  The “look” sets the tone and should carry through the whole report.
• Executive Summary – contains a brief summary of objectives, methodology and key findings in one or two slides with bullet points or more visual representations.  It is read first, intensely and by senior people who may not read the rest of the report.  
• Background – outlines why the client commissioned the study; the marketing problem. 
• Objectives – lists the key research objectives as written in the proposal the client had accepted.
• Methodology – describes the research process, target population, sampling and field methodology, data cleaning and analytics methods, all to confirm the validity of the project.  
• While results are traditionally presented with a headline, question asked, a table or graph of numerical frequencies and a sidebar with interpretation, more innovative and visual approaches are emerging.
• It is good practice to organize the report around the objectives so readers can easily find the answers to their business questions. 
• The guiding principle should be to keep the reader’s interest with succinct and direct writing and well-designed tables, charts, graphics and infographics
• Recommendations – are where the researcher becomes a trusted advisor, recommending a course of action for the business. 
• Appendix – contains additional methodological information and the questionnaire, results that have no bearing on the storyline and alternative views of the data 
• Contact information and project number – should be included to help find the right researcher later when questions arise or the study is to be replicated.

Basic Principles of Communication (P.397)

• Write with your audience in mind – including your clients’ internal clients
• Make your report readable and usable, remembering that in a presentation format (e.g. PowerPoint) each page is treated as a single and complete unit.  
• Use fewer words
• Don’t be afraid of white space
• Select a non-intrusive, light background and dark text
• Use clipart and images intelligently
• Use an easy-to-read font
• Use colours judiciously
• Don’t overdo emphasis
• Don’t overuse charts and graphs
• Simplify charts
• Make your headings tell a story
• Keep sidebars focused on insights

Reproducible Research (P.415)

•     R Markdown and Jupyter Notebooks are Graphical User Interfaces that let you produce full text-based or slide-base reports based on interim data, and then automatically read and update the report when final data is available. 

Live Presentations: Principles (P.417)

• Written reports are linear, explaining the content because no one is there to explain it.  Fonts are smaller, and ideas are developed regardless of the space they occupy. 
• In a presentation, the focus is on the presenter who explains the argument while the slides reinforce and illustrate, add proof and visual interest and are markers (what topic are we on?). 
• Create a storyboard to think through the best way to tell the story
• Keep your presentations short by communicating only the critical findings. Think carefully about how many slides you can show in the allotted time.
• Know your audience and what they expect
• Use fonts that make it easy to read from the back of the room or on smartphone screens
• Be economical with words
• Simplify graphs
• Make your charts as lean as possible
• Keep gimmicks to a minimum
• Be mentally prepared by knowing your material and rehearsing 
• Work on your physical presence and speaking style (see textbook tips)

How to Integrate the Findings: The Workshop (P.427)

To ensure the report doesn’t disappear into the archives, set up a workshop with exercises that help stakeholders apply the findings to the decisions they will have to make.  This section of the textbook unit offers tips to help a researcher organize and facilitate a workshop, an added step that elevates the research function and brings it into strategic discussions. 

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6.3 Steps in a Successful Marketing Research Plan

Learning outcomes.

By the end of this section, you will be able to:

• 1 Identify and describe the steps in a marketing research plan.
• 2 Discuss the different types of data research.
• 3 Explain how data is analyzed.
• 4 Discuss the importance of effective research reports.

Define the Problem

There are seven steps to a successful marketing research project (see Figure 6.3 ). Each step will be explained as we investigate how a marketing research project is conducted.

The first step, defining the problem, is often a realization that more information is needed in order to make a data-driven decision. Problem definition is the realization that there is an issue that needs to be addressed. An entrepreneur may be interested in opening a small business but must first define the problem that is to be investigated. A marketing research problem in this example is to discover the needs of the community and also to identify a potentially successful business venture.

Many times, researchers define a research question or objectives in this first step. Objectives of this research study could include: identify a new business that would be successful in the community in question, determine the size and composition of a target market for the business venture, and collect any relevant primary and secondary data that would support such a venture. At this point, the definition of the problem may be “Why are cat owners not buying our new cat toy subscription service?”

Additionally, during this first step we would want to investigate our target population for research. This is similar to a target market, as it is the group that comprises the population of interest for the study. In order to have a successful research outcome, the researcher should start with an understanding of the problem in the current situational environment.

Develop the Research Plan

Step two is to develop the research plan. What type of research is necessary to meet the established objectives of the first step? How will this data be collected? Additionally, what is the time frame of the research and budget to consider? If you must have information in the next week, a different plan would be implemented than in a situation where several months were allowed. These are issues that a researcher should address in order to meet the needs identified.

Research is often classified as coming from one of two types of data: primary and secondary. Primary data is unique information that is collected by the specific researcher with the current project in mind. This type of research doesn’t currently exist until it is pulled together for the project. Examples of primary data collection include survey, observation, experiment, or focus group data that is gathered for the current project.

Secondary data is any research that was completed for another purpose but can be used to help inform the research process. Secondary data comes in many forms and includes census data, journal articles, previously collected survey or focus group data of related topics, and compiled company data. Secondary data may be internal, such as the company’s sales records for a previous quarter, or external, such as an industry report of all related product sales. Syndicated data , a type of external secondary data, is available through subscription services and is utilized by many marketers. As you can see in Table 6.1 , primary and secondary data features are often opposite—the positive aspects of primary data are the negative side of secondary data.

There are four research types that can be used: exploratory, descriptive, experimental, and ethnographic research designs (see Figure 6.4 ). Each type has specific formats of data that can be collected. Qualitative research can be shared through words, descriptions, and open-ended comments. Qualitative data gives context but cannot be reduced to a statistic. Qualitative data examples are categorical and include case studies, diary accounts, interviews, focus groups, and open-ended surveys. By comparison, quantitative data is data that can be reduced to number of responses. The number of responses to each answer on a multiple-choice question is quantitative data. Quantitative data is numerical and includes things like age, income, group size, and height.

Exploratory research is usually used when additional general information in desired about a topic. When in the initial steps of a new project, understanding the landscape is essential, so exploratory research helps the researcher to learn more about the general nature of the industry. Exploratory research can be collected through focus groups, interviews, and review of secondary data. When examining an exploratory research design, the best use is when your company hopes to collect data that is generally qualitative in nature. 7

For instance, if a company is considering a new service for registered users but is not quite sure how well the new service will be received or wants to gain clarity of exactly how customers may use a future service, the company can host a focus group. Focus groups and interviews will be examined later in the chapter. The insights collected during the focus group can assist the company when designing the service, help to inform promotional campaign options, and verify that the service is going to be a viable option for the company.

Descriptive research design takes a bigger step into collection of data through primary research complemented by secondary data. Descriptive research helps explain the market situation and define an “opinion, attitude, or behavior” of a group of consumers, employees, or other interested groups. 8 The most common method of deploying a descriptive research design is through the use of a survey. Several types of surveys will be defined later in this chapter. Descriptive data is quantitative in nature, meaning the data can be distilled into a statistic, such as in a table or chart.

Again, descriptive data is helpful in explaining the current situation. In the opening example of LEGO , the company wanted to describe the situation regarding children’s use of its product. In order to gather a large group of opinions, a survey was created. The data that was collected through this survey allowed the company to measure the existing perceptions of parents so that alterations could be made to future plans for the company.

Experimental research , also known as causal research , helps to define a cause-and-effect relationship between two or more factors. This type of research goes beyond a correlation to determine which feature caused the reaction. Researchers generally use some type of experimental design to determine a causal relationship. An example is A/B testing, a situation where one group of research participants, group A, is exposed to one treatment and then compared to the group B participants, who experience a different situation. An example might be showing two different television commercials to a panel of consumers and then measuring the difference in perception of the product. Another example would be to have two separate packaging options available in different markets. This research would answer the question “Does one design sell better than the other?” Comparing that to the sales in each market would be part of a causal research study. 9

The final method of collecting data is through an ethnographic design. Ethnographic research is conducted in the field by watching people interact in their natural environment. For marketing research, ethnographic designs help to identify how a product is used, what actions are included in a selection, or how the consumer interacts with the product. 10

Examples of ethnographic research would be to observe how a consumer uses a particular product, such as baking soda. Although many people buy baking soda, its uses are vast. So are they using it as a refrigerator deodorizer, a toothpaste, to polish a belt buckle, or to use in baking a cake?

Select the Data Collection Method

Data collection is the systematic gathering of information that addresses the identified problem. What is the best method to do that? Picking the right method of collecting data requires that the researcher understand the target population and the design picked in the previous step. There is no perfect method; each method has both advantages and disadvantages, so it’s essential that the researcher understand the target population of the research and the research objectives in order to pick the best option.

Sometimes the data desired is best collected by watching the actions of consumers. For instance, how many cars pass a specific billboard in a day? What website led a potential customer to the company’s website? When are consumers most likely to use the snack vending machines at work? What time of day has the highest traffic on a social media post? What is the most streamed television program this week? Observational research is the collecting of data based on actions taken by those observed. Many data observations do not require the researched individuals to participate in the data collection effort to be highly valuable. Some observation requires an individual to watch and record the activities of the target population through personal observations .

Unobtrusive observation happens when those being observed aren’t aware that they are being watched. An example of an unobtrusive observation would be to watch how shoppers interact with a new stuffed animal display by using a one-way mirror. Marketers can identify which products were handled more often while also determining which were ignored.

Other methods can use technology to collect the data instead. Instances of mechanical observation include the use of vehicle recorders, which count the number of vehicles that pass a specific location. Computers can also assess the number of shoppers who enter a store, the most popular entry point for train station commuters, or the peak time for cars to park in a parking garage.

When you want to get a more in-depth response from research participants, one method is to complete a one-on-one interview . One-on-one interviews allow the researcher to ask specific questions that match the respondent’s unique perspective as well as follow-up questions that piggyback on responses already completed. An interview allows the researcher to have a deeper understanding of the needs of the respondent, which is another strength of this type of data collection. The downside of personal interviews it that a discussion can be very time-consuming and results in only one respondent’s answers. Therefore, in order to get a large sample of respondents, the interview method may not be the most efficient method.

Taking the benefits of an interview and applying them to a small group of people is the design of a focus group . A focus group is a small number of people, usually 8 to 12, who meet the sample requirements. These individuals together are asked a series of questions where they are encouraged to build upon each other’s responses, either by agreeing or disagreeing with the other group members. Focus groups are similar to interviews in that they allow the researcher, through a moderator, to get more detailed information from a small group of potential customers (see Figure 6.5 ).

Link to Learning

Focus groups.

Focus groups are a common method for gathering insights into consumer thinking and habits. Companies will use this information to develop or shift their initiatives. The best way to understand a focus group is to watch a few examples or explanations. TED-Ed has this video that explains how focus groups work.

You might be asking when it is best to use a focus group or a survey. Learn the differences, the pros and cons of each, and the specific types of questions you ask in both situations in this article .

Preparing for a focus group is critical to success. It requires knowing the material and questions while also managing the group of people. Watch this video to learn more about how to prepare for a focus group and the types of things to be aware of.

One of the benefits of a focus group over individual interviews is that synergy can be generated when a participant builds on another’s ideas. Additionally, for the same amount of time, a researcher can hear from multiple respondents instead of just one. 11 Of course, as with every method of data collection, there are downsides to a focus group as well. Focus groups have the potential to be overwhelmed by one or two aggressive personalities, and the format can discourage more reserved individuals from speaking up. Finally, like interviews, the responses in a focus group are qualitative in nature and are difficult to distill into an easy statistic or two.

Combining a variety of questions on one instrument is called a survey or questionnaire . Collecting primary data is commonly done through surveys due to their versatility. A survey allows the researcher to ask the same set of questions of a large group of respondents. Response rates of surveys are calculated by dividing the number of surveys completed by the total number attempted. Surveys are flexible and can collect a variety of quantitative and qualitative data. Questions can include simplified yes or no questions, select all that apply, questions that are on a scale, or a variety of open-ended types of questions. There are four types of surveys (see Table 6.2 ) we will cover, each with strengths and weaknesses defined.

Let’s start off with mailed surveys —surveys that are sent to potential respondents through a mail service. Mailed surveys used to be more commonly used due to the ability to reach every household. In some instances, a mailed survey is still the best way to collect data. For example, every 10 years the United States conducts a census of its population (see Figure 6.6 ). The first step in that data collection is to send every household a survey through the US Postal Service (USPS). The benefit is that respondents can complete and return the survey at their convenience. The downside of mailed surveys are expense and timeliness of responses. A mailed survey requires postage, both when it is sent to the recipient and when it is returned. That, along with the cost of printing, paper, and both sending and return envelopes, adds up quickly. Additionally, physically mailing surveys takes time. One method of reducing cost is to send with bulk-rate postage, but that slows down the delivery of the survey. Also, because of the convenience to the respondent, completed surveys may be returned several weeks after being sent. Finally, some mailed survey data must be manually entered into the analysis software, which can cause delays or issues due to entry errors.

Phone surveys are completed during a phone conversation with the respondent. Although the traditional phone survey requires a data collector to talk with the participant, current technology allows for computer-assisted voice surveys or surveys to be completed by asking the respondent to push a specific button for each potential answer. Phone surveys are time intensive but allow the respondent to ask questions and the surveyor to request additional information or clarification on a question if warranted. Phone surveys require the respondent to complete the survey simultaneously with the collector, which is a limitation as there are restrictions for when phone calls are allowed. According to Telephone Consumer Protection Act , approved by Congress in 1991, no calls can be made prior to 8:00 a.m. or after 9:00 p.m. in the recipient’s time zone. 12 Many restrictions are outlined in this original legislation and have been added to since due to ever-changing technology.

In-person surveys are when the respondent and data collector are physically in the same location. In-person surveys allow the respondent to share specific information, ask questions of the surveyor, and follow up on previous answers. Surveys collected through this method can take place in a variety of ways: through door-to-door collection, in a public location, or at a person’s workplace. Although in-person surveys are time intensive and require more labor to collect data than some other methods, in some cases it’s the best way to collect the required data. In-person surveys conducted through a door-to-door method is the follow-up used for the census if respondents do not complete the mailed survey. One of the downsides of in-person surveys is the reluctance of potential respondents to stop their current activity and answer questions. Furthermore, people may not feel comfortable sharing private or personal information during a face-to-face conversation.

Electronic surveys are sent or collected through digital means and is an opportunity that can be added to any of the above methods as well as some new delivery options. Surveys can be sent through email, and respondents can either reply to the email or open a hyperlink to an online survey (see Figure 6.7 ). Additionally, a letter can be mailed that asks members of the survey sample to log in to a website rather than to return a mailed response. Many marketers now use links, QR codes, or electronic devices to easily connect to a survey. Digitally collected data has the benefit of being less time intensive and is often a more economical way to gather and input responses than more manual methods. A survey that could take months to collect through the mail can be completed within a week through digital means.

Design the Sample

Although you might want to include every possible person who matches your target market in your research, it’s often not a feasible option, nor is it of value. If you did decide to include everyone, you would be completing a census of the population. Getting everyone to participate would be time-consuming and highly expensive, so instead marketers use a sample , whereby a portion of the whole is included in the research. It’s similar to the samples you might receive at the grocery store or ice cream shop; it isn’t a full serving, but it does give you a good taste of what the whole would be like.

So how do you know who should be included in the sample? Researchers identify parameters for their studies, called sample frames . A sample frame for one study may be college students who live on campus; for another study, it may be retired people in Dallas, Texas, or small-business owners who have fewer than 10 employees. The individual entities within the sampling frame would be considered a sampling unit . A sampling unit is each individual respondent that would be considered as matching the sample frame established by the research. If a researcher wants businesses to participate in a study, then businesses would be the sampling unit in that case.

The number of sampling units included in the research is the sample size . Many calculations can be conducted to indicate what the correct size of the sample should be. Issues to consider are the size of the population, the confidence level that the data represents the entire population, the ease of accessing the units in the frame, and the budget allocated for the research.

There are two main categories of samples: probability and nonprobability (see Figure 6.8 ). Probability samples are those in which every member of the sample has an identified likelihood of being selected. Several probability sample methods can be utilized. One probability sampling technique is called a simple random sample , where not only does every person have an identified likelihood of being selected to be in the sample, but every person also has an equal chance of exclusion. An example of a simple random sample would be to put the names of all members of a group into a hat and simply draw out a specific number to be included. You could say a raffle would be a good example of a simple random sample.

Another probability sample type is a stratified random sample , where the population is divided into groups by category and then a random sample of each category is selected to participate. For instance, if you were conducting a study of college students from your school and wanted to make sure you had all grade levels included, you might take the names of all students and split them into different groups by grade level—freshman, sophomore, junior, and senior. Then, from those categories, you would draw names out of each of the pools, or strata.

A nonprobability sample is a situation in which each potential member of the sample has an unknown likelihood of being selected in the sample. Research findings that are from a nonprobability sample cannot be applied beyond the sample. Several examples of nonprobability sampling are available to researchers and include two that we will look at more closely: convenience sampling and judgment sampling.

The first nonprobability sampling technique is a convenience sample . Just like it sounds, a convenience sample is when the researcher finds a group through a nonscientific method by picking potential research participants in a convenient manner. An example might be to ask other students in a class you are taking to complete a survey that you are doing for a class assignment or passing out surveys at a basketball game or theater performance.

A judgment sample is a type of nonprobability sample that allows the researcher to determine if they believe the individual meets the criteria set for the sample frame to complete the research. For instance, you may be interested in researching mothers, so you sit outside a toy store and ask an individual who is carrying a baby to participate.

Collect the Data

Now that all the plans have been established, the instrument has been created, and the group of participants has been identified, it is time to start collecting data. As explained earlier in this chapter, data collection is the process of gathering information from a variety of sources that will satisfy the research objectives defined in step one. Data collection can be as simple as sending out an email with a survey link enclosed or as complex as an experiment with hundreds of consumers. The method of collection directly influences the length of this process. Conducting personal interviews or completing an experiment, as previously mentioned, can add weeks or months to the research process, whereas sending out an electronic survey may allow a researcher to collect the necessary data in a few days. 13

Analyze and Interpret the Data

Once the data has been collected, the process of analyzing it may begin. Data analysis is the distillation of the information into a more understandable and actionable format. The analysis itself can take many forms, from the use of basic statistics to a more comprehensive data visualization process. First, let’s discuss some basic statistics that can be used to represent data.

The first is the mean of quantitative data. A mean is often defined as the arithmetic average of values. The formula is:

A common use of the mean calculation is with exam scores. Say, for example, you have earned the following scores on your marketing exams: 72, 85, 68, and 77. To find the mean, you would add up the four scores for a total of 302. Then, in order to generate a mean, that number needs to be divided by the number of exam scores included, which is 4. The mean would be 302 divided by 4, for a mean test score of 75.5. Understanding the mean can help to determine, with one number, the weight of a particular value.

Another commonly used statistic is median. The median is often referred to as the middle number. To generate a median, all the numeric answers are placed in order, and the middle number is the median. Median is a common statistic when identifying the income level of a specific geographic region. 14 For instance, the median household income for Albuquerque, New Mexico, between 2015 and 2019 was $52,911. 15 In this case, there are just as many people with an income above the amount as there are below.

Mode is another statistic that is used to represent data of all types, as it can be used with quantitative or qualitative data and represents the most frequent answer. Eye color, hair color, and vehicle color can all be presented with a mode statistic. Additionally, some researchers expand on the concept of mode and present the frequency of all responses, not just identifying the most common response. Data such as this can easily be presented in a frequency graph, 16 such as the one in Figure 6.9 .

Additionally, researchers use other analyses to represent the data rather than to present the entirety of each response. For example, maybe the relationship between two values is important to understand. In this case, the researcher may share the data as a cross tabulation (see Figure 6.10 ). Below is the same data as above regarding social media use cross tabulated with gender—as you can see, the data is more descriptive when you can distinguish between the gender identifiers and how much time is spent per day on social media.

Not all data can be presented in a graphical format due to the nature of the information. Sometimes with qualitative methods of data collection, the responses cannot be distilled into a simple statistic or graph. In that case, the use of quotations, otherwise known as verbatims , can be used. These are direct statements presented by the respondents. Often you will see a verbatim statement when reading a movie or book review. The critic’s statements are used in part or in whole to represent their feelings about the newly released item.

Infographics

As they say, a picture is worth a thousand words. For this reason, research results are often shown in a graphical format in which data can be taken in quickly, called an infographic .

Check out this infographic on what components make for a good infographic. As you can see, a good infographic needs four components: data, design, a story, and the ability to share it with others. Without all four pieces, it is not as valuable a resource as it could be. The ultimate infographic is represented as the intersection of all four.

Infographics are particularly advantageous online. Refer to this infographic on why they are beneficial to use online .

Prepare the Research Report

The marketing research process concludes by sharing the generated data and makes recommendations for future actions. What starts as simple data must be interpreted into an analysis. All information gathered should be conveyed in order to make decisions for future marketing actions. One item that is often part of the final step is to discuss areas that may have been missed with the current project or any area of further study identified while completing it. Without the final step of the marketing research project, the first six steps are without value. It is only after the information is shared, through a formal presentation or report, that those recommendations can be implemented and improvements made. The first six steps are used to generate information, while the last is to initiate action. During this last step is also when an evaluation of the process is conducted. If this research were to be completed again, how would we do it differently? Did the right questions get answered with the survey questions posed to the respondents? Follow-up on some of these key questions can lead to additional research, a different study, or further analysis of data collected.

Methods of Quantifying Marketing Research

One of the ways of sharing information gained through marketing research is to quantify the research . Quantifying the research means to take a variety of data and compile into a quantity that is more easily understood. This is a simple process if you want to know how many people attended a basketball game, but if you want to quantify the number of students who made a positive comment on a questionnaire, it can be a little more complicated. Researchers have a variety of methods to collect and then share these different scores. Below are some of the most common types used in business.

Is a customer aware of a product, brand, or company? What is meant by awareness? Awareness in the context of marketing research is when a consumer is familiar with the product, brand, or company. It does not assume that the consumer has tried the product or has purchased it. Consumers are just aware. That is a measure that many businesses find valuable. There are several ways to measure awareness. For instance, the first type of awareness is unaided awareness . This type of awareness is when no prompts for a product, brand, or company are given. If you were collecting information on fast-food restaurants, you might ask a respondent to list all the fast-food restaurants that serve a chicken sandwich. Aided awareness would be providing a list of products, brands, or companies and the respondent selects from the list. For instance, if you give a respondent a list of fast-food restaurants and ask them to mark all the locations with a chicken sandwich, you are collecting data through an aided method. Collecting these answers helps a company determine how the business location compares to those of its competitors. 17

Customer Satisfaction (CSAT)

Have you ever been asked to complete a survey at the end of a purchase? Many businesses complete research on buying, returning, or other customer service processes. A customer satisfaction score , also known as CSAT, is a measure of how satisfied customers are with the product, brand, or service. A CSAT score is usually on a scale of 0 to 100 percent. 18 But what constitutes a “good” CSAT score? Although what is identified as good can vary by industry, normally anything in the range from 75 to 85 would be considered good. Of course, a number higher than 85 would be considered exceptional. 19

Customer Acquisition Cost (CAC) and Customer Effort Score (CES)

Other metrics often used are a customer acquisition cost (CAC) and customer effort score (CES). How much does it cost a company to gain customers? That’s the purpose of calculating the customer acquisition cost. To calculate the customer acquisition cost , a company would need to total all expenses that were accrued to gain new customers. This would include any advertising, public relations, social media postings, etc. When a total cost is determined, it is divided by the number of new customers gained through this campaign.

The final score to discuss is the customer effort score , also known as a CES. The CES is a “survey used to measure the ease of service experience with an organization.” 20 Companies that are easy to work with have a better CES than a company that is notorious for being difficult. An example would be to ask a consumer about the ease of making a purchase online by incorporating a one-question survey after a purchase is confirmed. If a number of responses come back negative or slightly negative, the company will realize that it needs to investigate and develop a more user-friendly process.

Knowledge Check

It’s time to check your knowledge on the concepts presented in this section. Refer to the Answer Key at the end of the book for feedback.

• Defining the problem
• Developing the research plan
• Selecting a data collection method
• Designing the sample
• you are able to send it to all households in an area
• it is inexpensive
• responses are automatically loaded into the software
• the data comes in quickly
• Primary data
• Secondary data
• Secondary and primary data
• Professional data
• It shows how respondents answered two variables in relation to each other and can help determine patterns by different groups of respondents.
• By presenting the data in the form of a picture, the information is easier for the reader to understand.
• It is an easy way to see how often one answer is selected by the respondents.
• This analysis can used to present interview or focus group data.

This book may not be used in the training of large language models or otherwise be ingested into large language models or generative AI offerings without OpenStax's permission.

Want to cite, share, or modify this book? This book uses the Creative Commons Attribution License and you must attribute OpenStax.

Access for free at https://openstax.org/books/principles-marketing/pages/1-unit-introduction

• Authors: Dr. Maria Gomez Albrecht, Dr. Mark Green, Linda Hoffman
• Publisher/website: OpenStax
• Book title: Principles of Marketing
• Publication date: Jan 25, 2023
• Location: Houston, Texas
• Book URL: https://openstax.org/books/principles-marketing/pages/1-unit-introduction
• Section URL: https://openstax.org/books/principles-marketing/pages/6-3-steps-in-a-successful-marketing-research-plan

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BUS101: Introduction to Business

Marketing research process.

To accurately arrive at a target market, businesses must research who their typical customer is. Read each section to learn about conducting marketing research. Try to summarize these lessons and write a brief reflection of how you would research if you were the owner of an upscale retail clothing store in a major metropolitan city with several competitors.

Learning Objectives

• Outline objectives and problems as part of the marketing research process
• Describe the formulation of research design within the context of the marketing research process
• Recognize the basis for developing a specific approach to the objective or problem to be solved through the marketing research process
• Construct the rationale of fieldwork or data collection from a marketing research process perspective
• Summarize the characteristics of data preparation and methodology of data analysis
• Identify the characteristics of preparing, presenting, and documenting the results of marketing research
• The marketing research process involves six steps: 1: problem definition, 2: develop an approach to the problem, 3: research design formulation, 4: data collection, 5: data preparation and analysis, and 6: report preparation and presentation.
• The first step in any marketing research study is to define the problem while taking into account the purpose of the study, the relevant background information, what information is needed, and how it will be used in decision making. This stage involves discussion with the decision-makers, interviews with industry experts, analysis of secondary data, and, perhaps, some qualitative research, such as focus groups.
• Marketers can employ three types of objectives their research: exploratory research, descriptive research, and causal research.
• The marketing process details the procedures to obtain this information. It aims to design a study that will test the hypotheses of interest, determine possible answers to the research questions, and provide the information needed for decision making.
• Researchers need to choose the type of data they want to obtain from the respondents, such as via a survey or experiment and design a questionnaire and sampling plan to choose the most appropriate respondents for their study.
• Research design involves secondary data analysis; qualitative research; quantitative data methods (survey, observation, and experimentation); information needed; measurement and scaling procedures; questionnaire design; sampling process and sample size; and a plan of data analysis.
• Data collection involves a field force or staff that operates in the field, as in the case of personal interviewing, from an office by telephone, or through the mail (traditional mail and mail panel surveys with pre-recruited households).
• Proper selection, training, supervision, and evaluation of the field force helps minimize data-collection errors. Data is carefully edited, coded, transcribed, and verified so it can be properly analyzed during this phase of the research process. Verification ensures that the data from the original questionnaires have been accurately transcribed, while data analysis gives meaning to the data that have been collected.
• Bias must be avoided when interpreting data because only the results (not personal opinion) should be communicated.
• The entire project should be documented in a written report that addresses the specific research questions identified; describes the approach, research design, data collection, and data analysis procedures adopted; and presents the results and the major findings.
• The findings should be presented in a comprehensible format so they can be readily used in the decision-making process. An oral presentation to management, using tables, charts, and graphs, will enhance clarity and impact.
• Business Intelligence – Information that pertains to the history, current status, or future projections of a business organization.
• Data – Values of qualitative or quantitative variables belonging to a set of items; Data are typically the results of measurements and can be visualized using graphs or images
• Data Mining – A technique for searching large-scale databases for patterns; used mainly to find previously unknown correlations between variables that may be commercially useful.
• Ethnographic research – Information regarding cultural phenomena.
• Executive Summary – A short section or document that summarizes a longer report or proposal so readers can quickly learn about a larger work without having to read it in its entirety.
• Mall Intercept – A survey where respondents are intercepted in shopping malls to administer a survey on the spot or invite them to a research facility to conduct the interview.
• Market Research – The systematic collection and evaluation of data regarding customers' preferences for actual and potential products and services.
• Marketing Research – A research process that links the consumers, customers, and public to the marketer through information. This information is used to identify and define marketing opportunities and problems; generate, refine, and evaluate marketing actions; monitor marketing performance; and improve understanding of marketing as a process.
• Objective – Not influenced by irrational emotions or prejudices.
• Qualitative Research – A method of inquiry employed in many different academic disciplines, traditionally in the social sciences but also in market research and further contexts.
• Scientific Method – A body of techniques for acquiring new knowledge or correcting and integrating previous knowledge. To be termed scientific, a method of inquiry must be based on empirical and measurable evidence subject to specific principles of reasoning.
• Secondary Data – Information collected by someone other than the user of the data.
• Secondary Research – A research process that Involves the summary, collation, and synthesis of existing research rather than primary research, where data is collected from subjects or experiments.
• Survey Research – A research process that obtains information from a predetermined set of questions given to a sample, used to assess thoughts, opinions, and feelings.
• Systematic – Carried out using a planned, ordered procedure.

Marketing Research Is Systematic and Objective:

• Systematic planning is required at all stages of the marketing research process. The procedures followed at each stage are methodologically sound, well documented, and, as much as possible, planned in advance. Marketing research uses the scientific method in that data are collected and analyzed to test prior notions or hypotheses.
• Marketing research aims to provide accurate information that reflects a true state of affairs and, thus, should be conducted impartially. While research is always influenced by the researcher's research philosophy, it should be free from the personal or political biases of the researcher or the management.

Overview of the Marketing Research Process:

Step 1: problem definition, step 2: development of an approach to the problem, step 3: research design formulation.

• Step 4: Field Work or Data Collection

Step 5: Data Preparation and Analysis

Step 6: report preparation and presentation.

Define the problem and research objectives. The first step in any marketing research study is to define the problem while taking into account the purpose of the study, the relevant background information, what information is needed, and how it will be used in decision making. This stage involves discussion with the decision-makers, interviews with industry experts, analysis of secondary data, and, perhaps, some qualitative research, such as focus groups. There are three types of objectives that can be deployed in marketing research:

The first stage of the marketing research process involves defining the problem.

1. Exploratory research

• Used to better define a problem or scout opportunities.
• In-depth interviews and discussion groups are commonly used.

2. Descriptive research

• Used to assess a situation in the marketplace (that is, the potential for a specific product or consumer attitudes).
• Methods include personal interviews and surveys.

3. Causal research

• Used for testing cause and effect relationships.
• Typically through estimation.

Step two includes formulating an objective or theoretical framework, analytical models, research questions, hypotheses, and identifying characteristics or factors that can influence the research design. This process is guided by discussions with management and industry experts, case studies and simulations, analysis of secondary data, qualitative research, and pragmatic considerations.

Planning involves the creation and maintenance of a plan.

A research design is a framework or blueprint for conducting the marketing research project. It details the procedures necessary for obtaining the required information, and its purpose is to design a study that will test the hypotheses of interest, determine possible answers to the research questions, and provide the information needed for decision making. Decisions are also made regarding what data should be obtained from the respondents (such as by conducting a survey or an experiment). A questionnaire and sampling plan also are designed in order to select the most appropriate respondents for the study. The following steps are involved in formulating a research design:

• Secondary data analysis (based on secondary research)
• Qualitative research
• Methods of collecting quantitative data (survey, observation, and experimentation)
• Definition of the information needed
• Measurement and scaling procedures
• Questionnaire design
• Sampling process and sample size
• Plan of data analysis

Secondary data analysis is one of the steps involved in formulating a Research Design

Developing the research plan for collecting information:

The research plan outlines sources of existing data and spells out the specific research approaches, contact methods, sampling plans, and instruments that researchers will use to gather data. This plan includes a written proposal that outlines the management problem, research objectives, information required, how the results will help management decisions, and the budget allocated for the research.

Step 4: Fieldwork or Data Collection

Fieldwork, or data collection, involves a field force or staff that operates either in the field, as in the case of personal interviewing (focus group, in-home, mall intercept, or computer-assisted personal interviewing), from an office by telephone (telephone or computer-assisted telephone interviewing/CATI), or through the mail (traditional mail and mail panel surveys with pre-recruited households). Proper selection, training, supervision, and evaluation of the field force helps minimize data-collection errors. In marketing research, an example of data collection is when a consumer goods company hires a market research company to conduct in-home ethnographies and in-store shop-alongs in an effort to collect primary research data.

Soldiers and family members participated in USAG-RC-sponsored focus group s

Marketing Research is Systematic and Objective

• Systematic planning is required at all stages of the marketing research process, especially in the data collection step. The procedures followed at each stage are methodologically sound, well documented, and, as much as possible, planned in advance. Marketing research uses the scientific method in that data are collected and analyzed to test prior notions or hypotheses.
• Marketing research aims to provide accurate information that reflects a true state of affairs and thus, should be conducted impartially. While research is always influenced by the researcher's philosophy, it should be free from the personal or political biases of the researcher or the management. This is especially important in the data collection phase. The data collected will be analyzed and used to make marketing decisions. Hence, it is vital that the data collection process be free of as much bias as possible.

Primary Versus Secondary Research

There are many sources of information a marketer can use when collecting data. The Nielson Ratings is an audience measurement system that provides data on audience size and the composition of television markets in the United States. The Gallup Polls conduct public opinion polls with its results published daily in the form of data-driven news. The U.S Census Bureau, directed by the U.S. Government is the principal agency that is responsible for producing data about American people and the economy. Population, housing, and demographic characteristics are gathered to help plan and define transportation systems, police and fire precinct, election districts, and schools.

Analysis of data is a process of inspecting, cleaning, transforming, and modeling data with the goal of highlighting useful information, suggesting conclusions, and supporting decision making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names in different business, science, and social science domains. Data mining is a particular data analysis technique that focuses on modeling and knowledge discovery for predictive rather than purely descriptive purposes. Marketers use databases to extract applicable information that identifies customer patterns, characteristics, and behaviors.

Notes on data analysis process and testing parameters .

Business intelligence covers data analysis that relies heavily on aggregation and focusing on business information. In statistical applications, some people divide data analysis into descriptive statistics, exploratory data analysis (EDA), and confirmatory data analysis (CDA). EDA focuses on discovering new features in the data and CDA focuses on confirming or falsifying existing hypotheses. Predictive analytics focuses on the application of statistical or structural models for predictive forecasting or classification. Text analytics applies statistical, linguistic, and structural techniques to extract and classify information from textual sources, a species of unstructured data. All are varieties of data analysis.

During this phase of the research process, data is carefully edited, coded, transcribed, and verified in order for it to be properly analyzed. Statistical market research tools are used. The validity of the results is also assessed to confirm how well the data measures what it is supposed to measure. Oftentimes, the research team will arrange a debriefing session with the client to review highlights from the data and brainstorm potential ideas on how the findings can be implemented. This typically happens when a client hires a market research company and they want to remain thoroughly involved in the research process.

Researchers can set up a debriefing meeting to review the analysis

Types of data analysis outputs: heat map, bar plots, scatter plots .

Helpful tips to keep in mind during data analysis:

• Communicate the results.
• Try to avoid bias when interpreting data.
• Just because results fail to confirm original hypotheses, does not mean the research results are useless.

During the Report Preparation and Presentation step, the entire project should be documented in a written report that addresses the specific research questions identified; describes the approach, the research design, data collection, and data analysis procedures adopted; and presents the results and the major findings. This permanent document is also helpful because it can be easily referenced by others who may not have been part of the research.

The findings should be presented in a comprehensible format so that they can be readily used in the decision-making process. In addition, an oral presentation should be made to management using tables, figures, and graphs to enhance clarity and impact.

Someone giving a presentation using visual elements

A successful presentation will include but is not limited to the following elements:

• Final conclusions (based on the insights gathered from data collected) that effectively meet the initial objectives of the research
• Recommendations about how to apply the research
• Charts, graphs, and visual elements that help showcase important facts and make the presentation easily digestible and memorable

A formal research report presentation typically includes the following:

• Table of Contents
• Executive Summary
• Research Objectives
• Research Methodology
• Highlights of Fieldwork Data Collected
• Appendix (including Respondent Screening Instrument and Questionnaire)
• Findings/Insights
• Recommendations/Implications and Action Plan