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Top Marketing Research Topics: Strategies for Competitive Advantage

Explore the dynamic landscape of Marketing Research and discover key strategies for gaining a competitive advantage in this insightful blog. From consumer behaviour analysis to emerging trends, delve into the latest methodologies and innovative approaches that can elevate your marketing efforts. This blog unlocks the secrets to staying ahead in the ever-evolving business world through practical Marketing Research Topics.

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Marketing Research is essential for any business that wants to understand its customers, competitors, and market trends. Marketing Research Topics are the specific questions that guide the collection and analysis of data to provide insights and recommendations for various marketing decisions.   

These topics cover a wide range of areas, such as product development, pricing, promotion, distribution, customer satisfaction, loyalty, segmentation, branding, and more. In this blog, we will discuss some of the top Marketing Research Topics that can help marketers achieve their goals and gain an edge over their competitors.   

Table of Contents 

1) Best Marketing Research Topics list 

     a) Digital Marketing Topics 

     b) Content Marketing Topics 

     c) Strategic Marketing Problems 

     d) Social Media Marketing Research Topics 

     e) Exceptional Marketing Research Topics 

     f) Unique Marketing Research Topics 

    g) Premium Marketing Research Topics 

    h) Interesting Marketing Research Ideas.  

    i) Current Marketing Research Topics 

    j) Impressive Marketing Research Topics 

2) Conclusion 

Best Marketing Research Topics list 

Here, we explore various Marketing Research Topics to uncover insights and strategies for informed decision-making and business success.  

1) Digital Marketing Research Topics 

Listed below are some of the best Digital Marketing Research topics: 

a) Digital Marketing's influence on brand recognition  

b) Social Media's function in Digital Marketing  

c) Efficiency of digital advertising  

d) Mobile technology's influence on Digital Marketing  

e) Search engine optimisation's role in Digital Marketing  

f) Utilisation of Big Data in Digital Marketing  

g) Digital Marketing's impact on customer engagement  

h) Content Marketing's position in Digital Marketing  

i) Effectiveness of strategies in Digital Marketing  

j)  Digital Marketing's impact on shopping behaviour  

k)  Artificial intelligence's role in Digital Marketing  

l)  Video usage in Digital Marketing  

m) Digital Marketing's impact on Sales  

n) Influencer Marketing's role in Digital Marketing  

o) Email Marketing's effectiveness  

p) Digital Marketing's impact on customer loyalty  

q) Social Media analytics in Digital Marketing  

r) Integration of Voice Search in Digital Marketing  

s) Digital Marketing's Effect on Return on Investment (ROI)  

t) Automation's Role in Digital Marketing  

2) Content Marketing Research Topics 

Listed below are the top Content Marketing topics: 

a) Building brand identity through Content Marketing  

b) The social media landscape in Content Marketing strategies  

c) Evaluating the impact of content advertising effectiveness  

d) Mobile technology's influence on Content Marketing strategies  

e) Search engine optimisation's significance in Content Marketing  

f) Harnessing Big Data for informed Content Marketing decisions  

g) Customer engagement strategies in Content Marketing  

h) The crucial role of Content Marketing in digital strategies  

i) Assessing the effectiveness of Content Marketing strategies  

j) Content Marketing's influence on consumer shopping patterns  

k)  Artificial intelligence: A catalyst in Content Marketing innovation  

l) Video content strategies for effective Content Marketing  

m) Driving sales through strategic Content Marketing  

n) Influencer collaboration's impact on Content Marketing success  

o) Email marketing: A pillar of effective content distribution  

p) Fostering customer loyalty through tailored content experiences  

q) Social media analytics for informed Content Marketing insights  

r) Integrating voice search into Content Marketing strategies  

s) Measuring Content Marketing ROI: A comprehensive analysis  

t) The role of automation in optimising Content Marketing effort 

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3) Strategic Marketing Research Topics  

Here’s a list of Strategic Marketing Research Topics: 

a) Strategic Marketing Research's influence on brand positioning  

b)  The role of market segmentation in Strategic Marketing Research  

c) Evaluating the effectiveness of competitive analysis in Strategic Marketing  

d) Technological innovations and their impact on strategic Marketing Research  

e) Consumer behaviour studies: Informing strategic marketing decision-making  

f) Strategic Marketing Research in the era of Big Data analytics  

g) Customer journey mapping: A strategic approach in Marketing Research  

h) The positioning of brand equity in Strategic Marketing Research  

i)  Assessing the effectiveness of pricing strategies in Strategic Marketing  

j)  The impact of environmental scanning on strategic Marketing Research  

k) Artificial Intelligence's integration in strategic Marketing Research  

l) Utilising surveys and feedback loops in strategic Marketing Research  

m) Strategic Marketing Research's influence on market penetration  

n) Stakeholder analysis: A key component of strategic Marketing Research  

o) Email surveys and their role in strategic Marketing Research  

p) Building customer retention strategies through strategic Marketing  

q) Social Media monitoring in strategic Marketing Research  

r) The integration of Voice of the Customer (VOC) in Strategic Marketing  

s) Assessing ROI in strategic Marketing Research initiatives  

t) The role of automation in enhancing Strategic Marketing Research. 

4) Social Media Marketing Research Topics 

Here’s a list of Social Media Marketing Research Topics: 

a) Exploring Social Media's impact on brand recognition  

b) The role and function of Social Media in Digital Marketing  

c) Measuring the effectiveness of Social Media advertising  

d) Influence of mobile technology on Social Media Marketing  

e) Optimising Social Media presence through SEO strategies  

f) Leveraging Big Data for insights into Social Media Marketing  

g)  Enhancing customer engagement through Social Media Marketing  

h) Positioning Content Marketing within Social Media strategies  

i) Evaluating the effectiveness of Social Media Marketing strategies  

j) Understanding Social Media's influence on consumer shopping behaviour  

k) The integration of Artificial Intelligence in Social Media Marketing  

l) Utilising video content for effective Social Media Marketing  

m) Analysing the impact of Social Media Marketing on sales  

n) Role and impact of Influencer Marketing in Social Media  

o) Effectiveness of Email Marketing in Social Media context  

p) Fostering customer loyalty through Social Media Marketing  

q) Utilising Social Media analytics for strategic insights  

r) Integrating voice search in Social Media Marketing strategies  

s) Measuring Social Media Marketing's Return on Investment (ROI)  

t) The role of automation in Social Media Marketing 

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5) Exceptional Marketing Research Topics 

Given below are Research Topics for Exceptional Marketing: 

a) Offshore marketing and evaluating optimal distribution strategies for new companies 

b)  Marketing distribution channels and potential mistakes to avoid 

c) Examination of online shopping in China, discussing its influence and opportunities 

d) Explanation of the concept of Artificial Intelligence in marketing 

e) Discussion of the components of a competitive marketing strategy 

f) Impact assessment of augmented reality on the marketing experience 

g) Pricing and positioning strategies for marketing effectiveness 

h) Description of the role of Social Media in lead generation 

i) Development and execution of investment banking in developing markets 

j) Impact analysis of European financial supervision on cross-border financial investment 

k) Consumer purchase decision and the influence of e-marketing 

l) Customer buying behaviour and the role of sensory marketing 

m) Gender influence on business startups 

n) Analysis of the significance of leadership and culture in organisational change 

o) Case study of Nike, evaluating the role of CSR 

p) Analysis of the use of Omni-channel tracking in marketing 

q) Comparison of Augmented Reality (AR) and Immerse Technologies in Marketing 

r) Comparison of the use of User-Generated Content and Content Mapping in Marketing 

s) Application of Progressive Web Apps (PWAs) in marketing 

t) Pros and cons of using Predictive Analytics and Browser Push Notifications in marketing 

6) Unique Marketing Research Topics 

Here’s a list of unique Marketing Research Topics: 

a) Analysing the impact of cultural shifts on consumer behaviour  

b) Unveiling the power of neuro-marketing in understanding consumer choices  

c) The role of augmented reality in enhancing market research  

d) Green marketing: sustainability as a critical factor in consumer preferences  

e) Cross-cultural marketing: navigating diverse global markets  

f) The influence of gamification on market research strategies  

g)  Ethical considerations in contemporary market research practices  

h)  Examining the role of blockchain in revolutionising marketing data security  

i) VOC analysis: Strategies for effective implementation  

j) The impact of virtual events on market research dynamics  

k) Harnessing the potential of chatbots in gathering customer insights  

l) Understanding the psychology of brand loyalty in changing market landscapes  

m) Market research in the age of privacy concerns: navigating regulatory challenges  

n) Evaluating the effectiveness of experiential Marketing Research  

o) Innovations in mobile market research: adapting to the smartphone era  

p) The intersection of market research and artificial intelligence  

q) Measuring emotional engagement in Marketing Research  

r) The role of predictive analytics in anticipating market trends 

7) Premium Marketing Research Topics 

Here, we discuss the premium Marketing Research Topics in the contemporary world: 

a) Crafting an exclusive brand experience: Beyond digital channels 

b) Strategic utilisation of luxury influencers in marketing 

c) Innovative approaches to premium Content Marketing 

d) Augmented reality in premium branding strategies 

e) Customised user journeys: Personalisation in Premium Marketing 

f) Blockchain technology in ensuring brand authenticity for premium products 

g) Neuro-Marketing: Understanding the premium consumer's mind 

h) Exclusive partnerships and collaborations in premium branding 

i) Data privacy and security concerns in premium customer relationships 

j) Sustainability as a premium brand value: Strategies and challenges 

k) The role of experiential marketing in premium product launches 

l) Psychological pricing strategies for premium goods 

m) Virtual reality experiences for premium brand engagement 

n) Ultra-personalisation: Tailoring premium services to individual needs 

o) Emerging trends in premium customer retention strategies 

p) Cultivating a sense of exclusivity: Membership programs in premium marketing 

q) The impact of limited-edition releases on premium brand image 

r) Luxury branding in the digital age: balancing tradition and innovation 

s) Premium market positioning: Differentiating in a crowded landscape 

t) Strategies for niche market penetration in premium sectors 

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8) Interesting Marketing Research Ideas 

Discussed below are a few interesting Marketing Research ideas: 

a) Utilising pillar content for sales growth: An exploration of effective strategies 

b) Examining the roles of Mobile Marketing in driving business success 

c) The intersection of internet security and its implications for online marketing 

d) Determining the optimal social media platform for marketing baby products 

e) The role of social media in business survival and growth 

f) The importance of competitor analysis in shaping brand marketing strategies 

g) Political campaigns as a factor in brand marketing dynamics 

h) Assessing the viability of centralised marketing for international brands 

i)  Exploring brand salience and its impact on in-store branding 

j) Social class distinctions and their influence on company service perception 

k) Exploring commonly used methods for predicting consumer behaviour 

l) Investigating the influence of advertising during economic recession periods 

m)  Strategies employed in the marketing landscape of the fashion industry 

n) In-depth exploration of targeted marketing using paid search engine ads 

o) Assessing the impact of television advertisements on consumer moods 

9) Relevant Marketing Research Topics 

Here’s a list of relevant Marketing Research Topics: 

a) Impact of Covid-19 on the marketing initiatives of the organisation 

b) Effect of the Covid-19 emergence on business communities 

c) Influence of the Covid-19 emergence on marketing operations 

d) Examination of the impact of brand promotion and celebrity usage on ROI 

e) Analysis of how lockdown situations impact an organisation's PR activities 

f) Significance of the marketing mix on organisational performance 

g) Discussion on the importance of STP analysis for any business entity 

h) Analysis of the impact of Covid-19 and subsequent lockdown on the hospitality sector 

i) Effects of Covid-19 and subsequent lockdown on the aviation industry 

j) Importance of an environmental audit for formulating effective marketing strategies 

k) Impact of Covid-19 and the subsequent lockdown on the service sector 

l) Exploration of the impact of Covid-19 and the subsequent lockdown on the sports industry 

m) "Just Do It" - one of the most successful environmentally conscious advertising taglines 

n) Examination of the successful marketing strategies of Apple, Southwest Airlines, and Budweiser 

o) Importance of personalisation in marketing 

10) Impressive Marketing Research Topics 

Listed below are some of the impressive Marketing Research Topics: 

a) Impact of consumers' implicit and explicit knowledge on their purchasing behaviour 

b) Implementation of centralised global marketing 

c) Integration of IoT, wearables, or smart devices for automated customer service 

d) Definition and application of e-CRM in marketing 

e) Interconnection between brand awareness and repeat purchases 

f) Establishing a company's brand image through Guest Blogging 

g) Strategies for managing marketing and company reputation effectively 

h) Examination of Corporate Social Responsibility as a marketing tactic 

i) Optimal social media approaches to enhance customer engagement 

j) Analysis of social media marketing's influence on customer behaviour 

k) Relationship dynamics between influencer marketing and lifestyle branding 

l)  Technologies pivotal in improving customers' online decision-making processes 

m) Exploring efficient marketing strategies to mend a damaged reputation 

n) Human Resource Management and the motivational factors crucial for future leaders 

o) Influence and importance of performance management in large and diverse organisations 

Conclusion 

Marketing Research Topics vary from how Digital Marketing influences what we buy to whether traditional methods still work. You can also explore Social Media's role, how online ads perform, and the impact of loyalty programs. Other areas include product placement, celebrity endorsements, and how pricing affects what consumers choose. Regardless of the topic, thorough and organised research is crucial for accurate and reliable findings. 

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Analytics for Marketers

• Fabrizio Fantini
• Das Narayandas

Advanced analytics can help companies solve a host of management problems, including those related to marketing, sales, and supply-chain operations, which can lead to a sustainable competitive advantage. But as more data becomes available and advanced analytics are further refined, managers may struggle with when, where, and how much to incorporate machines into their business analytics, and to what extent they should bring their own judgment to bear when making data-driven decisions.

In general, humans are better at decisions involving intuition and ambiguity resolution. Machines are far superior at decisions requiring deduction, granularity, and scalability. How can you find the right balance?

There are three common approaches to analytics: descriptive, where decisions are made mainly by humans; predictive, which combines aspects of the other two; and prescriptive, which usually means autonomous management by machines. This article describes when and how to use each approach and examines the trade-offs and limitations. Although the focus is on marketing and sales, the principles may be applied more broadly.

When to rely on algorithms and when to trust your gut

Idea in Brief

The challenge.

As more data becomes available and advanced analytics are further refined, managers may struggle with when to trust machines and when to trust their gut.

The Difference

Humans are better at decisions involving intuition and ambiguity resolution; machines are far superior at decisions requiring deduction, granularity, and scalability.

The Guidance

The authors’ framework suggests the best approach—and balance between human and machine—given the type of decision to be made and the data available.

Advanced analytics can help companies solve a host of management problems, including those related to marketing, sales, and supply-chain operations, which can lead to a sustainable competitive advantage. For example, firms can integrate decisions and optimize the entire value chain by modeling individual customers’ behaviors and preferences and offering tailored products priced as close as possible to shoppers’ willingness-to-pay price points—all while reducing the cost of servicing individual transactions.

• FF Fabrizio Fantini is the founder and CEO of Evo Pricing, a firm offering AI solutions to automate and optimize pricing and supply-chain decisions.
• DN Das Narayandas is the Edsel Bryant Ford Professor of Business Administration at Harvard Business School.

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Journal of Marketing Analytics

• ISSN : 2050-3318 (print)
• ISSN : 2050-3326 (electronic)
• Journal no. : 41270
• Provides a single accessible resource for the rapidly changing field of marketing analytics
• Combines the best of applied scientific research and commercial best practices
• Covers targeting, segmentation, big data, customer loyalty, CRM, data quality management, marketing strategy and more

This journal marries rigorously controlled scientific research methods with the accessibility and accuracy of real world case studies. It is designed to help scholars and academics stay in touch with current developments in the science of marketing analytics, and to help professionals working in the field of marketing analytics stay on top of the latest trends, and grasp the implications of cutting edge analytics research.

The Journal of Marketing Analytics fosters new insights into the ways that companies approach their markets, adapt to changing market conditions, and respond to new competitors. Marketing analytics powers the current wave of data driven decision-making, and strategic leverage of data remains a powerful source of sustainable competitive advantage.

Data has become the new lodestone of the modern knowledge economy. In today’s rapidly evolving market, storing and reporting of data are not enough. Marketers must quickly make sense of oceans of data, and bring new insight into action faster than ever. This journal helps marketers analyze their markets, adjust to changing conditions, and respond to new competitors.

The contents cut a wide swathe across the discipline of marketing analytics. Articles explore such topics as segmentation of the senior market; constructing brand value proposition statements; customer retention in B2C electronic commerce; optimizing time-limited price promotions; and more. The journal describes sophisticated analytic approaches including fuzzy-set qualitative comparative analysis and product reviews; and the use of multilevel modelling to improve neighborhood targeting.

Journal of Marketing Analytics is a Transformative Journal ; authors can publish using the traditional publishing route OR via immediate gold Open Access. More information on Transformative journals: https://www.springernature.com/gp/open-research/transformative-journals More information on funder and institutional requirements: https://www.springernature.com/gp/open-research/funding

Latest issue

Volume 12, Issue 1, March 2024

Special issue: advanced marketing analytics using partial least squares structural equation modeling (pls sem), advanced marketing analytics using partial least squares structural equation modeling (pls-sem).

Marko Sarstedt , Yide Liu

Original Article

Does culture matter? Corporate reputation and sustainable satisfaction in the Chinese and German banking sector

Svenja Damberg , Yide Liu , Christian M. Ringle

Understanding travel apps usage intention: findings from PLS and NCA

Pinaz Tiwari , Rahul Pratap Singh Kaurav , Kian Yeik Koay

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• 07 May 2024
• Cold Call Podcast

Lessons in Business Innovation from Legendary Restaurant elBulli

Ferran Adrià, chef at legendary Barcelona-based restaurant elBulli, was facing two related decisions. First, he and his team must continue to develop new and different dishes for elBulli to guarantee a continuous stream of innovation, the cornerstone of the restaurant's success. But they also need to focus on growing the restaurant’s business. Can the team balance both objectives? Professor Michael I. Norton discusses the connections between creativity, emotions, rituals, and innovation – and how they can be applied to other domains – in the case, “elBulli: The Taste of Innovation,” and his new book, The Ritual Effect.

• 29 Feb 2024

Beyond Goals: David Beckham's Playbook for Mobilizing Star Talent

Reach soccer's pinnacle. Become a global brand. Buy a team. Sign Lionel Messi. David Beckham makes success look as easy as his epic free kicks. But leveraging world-class talent takes discipline and deft decision-making, as case studies by Anita Elberse reveal. What could other businesses learn from his ascent?

• 17 Jan 2024

Psychological Pricing Tactics to Fight the Inflation Blues

Inflation has slowed from the epic rates of 2021 and 2022, but many consumers still feel pinched. What will it take to encourage them to spend? Thoughtful pricing strategies that empower customers as they make purchasing decisions, says research by Elie Ofek.

• 05 Dec 2023

What Founders Get Wrong about Sales and Marketing

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Tommy Hilfiger’s Adaptive Clothing Line: Making Fashion Inclusive

In 2017, Tommy Hilfiger launched its adaptive fashion line to provide fashion apparel that aims to make dressing easier. By 2020, it was still a relatively unknown line in the U.S. and the Tommy Hilfiger team was continuing to learn more about how to serve these new customers. Should the team make adaptive clothing available beyond the U.S., or is a global expansion premature? Assistant Professor Elizabeth Keenan discusses the opportunities and challenges that accompanied the introduction of a new product line that effectively serves an entirely new customer while simultaneously starting a movement to provide fashion for all in the case, “Tommy Hilfiger Adaptive: Fashion for All.”

• Research & Ideas

Are Virtual Tours Still Worth It in Real Estate? Evidence from 75,000 Home Sales

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• 17 Oct 2023

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• 29 Aug 2023

As Social Networks Get More Competitive, Which Ones Will Survive?

In early 2023, TikTok reached close to 1 billion users globally, placing it fourth behind the leading social networks: Facebook, YouTube, and Instagram. Meanwhile, competition in the market for videos had intensified. Can all four networks continue to attract audiences and creators? Felix Oberholzer-Gee discusses competition and imitation among social networks in his case “Hey, Insta & YouTube, Are You Watching TikTok?”

• 26 Jun 2023

Want to Leave a Lasting Impression on Customers? Don't Forget the (Proverbial) Fireworks

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• 31 May 2023

With Predictive Analytics, Companies Can Tap the Ultimate Opportunity: Customers’ Routines

Armed with more data than ever, many companies know what key customers need. But how many know exactly when they need it? An analysis of 2,000 ridesharing commuters by Eva Ascarza and colleagues shows what's possible for companies that can anticipate a customer's routine.

• 30 May 2023

Can AI Predict Whether Shoppers Would Pick Crest Over Colgate?

Is it the end of customer surveys? Definitely not, but research by Ayelet Israeli sheds light on the potential for generative AI to improve market research. But first, businesses will need to learn to harness the technology.

• 24 Apr 2023

What Does It Take to Build as Much Buzz as Booze? Inside the Epic Challenge of Cannabis-Infused Drinks

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• 07 Apr 2023

When Celebrity ‘Crypto-Influencers’ Rake in Cash, Investors Lose Big

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• 10 Feb 2023

COVID-19 Lessons: Social Media Can Nudge More People to Get Vaccinated

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• 02 Feb 2023

Why We Still Need Twitter: How Social Media Holds Companies Accountable

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• 06 Dec 2022

Latest Isn’t Always Greatest: Why Product Updates Capture Consumers

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• 29 Nov 2022

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• 26 Oct 2022

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• 18 Oct 2022

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Research Topics & Ideas: Data Science

50 Topic Ideas To Kickstart Your Research Project

If you’re just starting out exploring data science-related topics for your dissertation, thesis or research project, you’ve come to the right place. In this post, we’ll help kickstart your research by providing a hearty list of data science and analytics-related research ideas , including examples from recent studies.

PS – This is just the start…

We know it’s exciting to run through a list of research topics, but please keep in mind that this list is just a starting point . These topic ideas provided here are intentionally broad and generic , so keep in mind that you will need to develop them further. Nevertheless, they should inspire some ideas for your project.

To develop a suitable research topic, you’ll need to identify a clear and convincing research gap , and a viable plan to fill that gap. If this sounds foreign to you, check out our free research topic webinar that explores how to find and refine a high-quality research topic, from scratch. Alternatively, consider our 1-on-1 coaching service .

Data Science-Related Research Topics

• Developing machine learning models for real-time fraud detection in online transactions.
• The use of big data analytics in predicting and managing urban traffic flow.
• Investigating the effectiveness of data mining techniques in identifying early signs of mental health issues from social media usage.
• The application of predictive analytics in personalizing cancer treatment plans.
• Analyzing consumer behavior through big data to enhance retail marketing strategies.
• The role of data science in optimizing renewable energy generation from wind farms.
• Developing natural language processing algorithms for real-time news aggregation and summarization.
• The application of big data in monitoring and predicting epidemic outbreaks.
• Investigating the use of machine learning in automating credit scoring for microfinance.
• The role of data analytics in improving patient care in telemedicine.
• Developing AI-driven models for predictive maintenance in the manufacturing industry.
• The use of big data analytics in enhancing cybersecurity threat intelligence.
• Investigating the impact of sentiment analysis on brand reputation management.
• The application of data science in optimizing logistics and supply chain operations.
• Developing deep learning techniques for image recognition in medical diagnostics.
• The role of big data in analyzing climate change impacts on agricultural productivity.
• Investigating the use of data analytics in optimizing energy consumption in smart buildings.
• The application of machine learning in detecting plagiarism in academic works.
• Analyzing social media data for trends in political opinion and electoral predictions.
• The role of big data in enhancing sports performance analytics.
• Developing data-driven strategies for effective water resource management.
• The use of big data in improving customer experience in the banking sector.
• Investigating the application of data science in fraud detection in insurance claims.
• The role of predictive analytics in financial market risk assessment.
• Developing AI models for early detection of network vulnerabilities.

Data Science Research Ideas (Continued)

• The application of big data in public transportation systems for route optimization.
• Investigating the impact of big data analytics on e-commerce recommendation systems.
• The use of data mining techniques in understanding consumer preferences in the entertainment industry.
• Developing predictive models for real estate pricing and market trends.
• The role of big data in tracking and managing environmental pollution.
• Investigating the use of data analytics in improving airline operational efficiency.
• The application of machine learning in optimizing pharmaceutical drug discovery.
• Analyzing online customer reviews to inform product development in the tech industry.
• The role of data science in crime prediction and prevention strategies.
• Developing models for analyzing financial time series data for investment strategies.
• The use of big data in assessing the impact of educational policies on student performance.
• Investigating the effectiveness of data visualization techniques in business reporting.
• The application of data analytics in human resource management and talent acquisition.
• Developing algorithms for anomaly detection in network traffic data.
• The role of machine learning in enhancing personalized online learning experiences.
• Investigating the use of big data in urban planning and smart city development.
• The application of predictive analytics in weather forecasting and disaster management.
• Analyzing consumer data to drive innovations in the automotive industry.
• The role of data science in optimizing content delivery networks for streaming services.
• Developing machine learning models for automated text classification in legal documents.
• The use of big data in tracking global supply chain disruptions.
• Investigating the application of data analytics in personalized nutrition and fitness.
• The role of big data in enhancing the accuracy of geological surveying for natural resource exploration.
• Developing predictive models for customer churn in the telecommunications industry.
• The application of data science in optimizing advertisement placement and reach.

Recent Data Science-Related Studies

While the ideas we’ve presented above are a decent starting point for finding a research topic, they are fairly generic and non-specific. So, it helps to look at actual studies in the data science and analytics space to see how this all comes together in practice.

Below, we’ve included a selection of recent studies to help refine your thinking. These are actual studies,  so they can provide some useful insight as to what a research topic looks like in practice.

• Data Science in Healthcare: COVID-19 and Beyond (Hulsen, 2022)
• Auto-ML Web-application for Automated Machine Learning Algorithm Training and evaluation (Mukherjee & Rao, 2022)
• Survey on Statistics and ML in Data Science and Effect in Businesses (Reddy et al., 2022)
• Visualization in Data Science VDS @ KDD 2022 (Plant et al., 2022)
• An Essay on How Data Science Can Strengthen Business (Santos, 2023)
• A Deep study of Data science related problems, application and machine learning algorithms utilized in Data science (Ranjani et al., 2022)
• You Teach WHAT in Your Data Science Course?!? (Posner & Kerby-Helm, 2022)
• Statistical Analysis for the Traffic Police Activity: Nashville, Tennessee, USA (Tufail & Gul, 2022)
• Data Management and Visual Information Processing in Financial Organization using Machine Learning (Balamurugan et al., 2022)
• A Proposal of an Interactive Web Application Tool QuickViz: To Automate Exploratory Data Analysis (Pitroda, 2022)
• Applications of Data Science in Respective Engineering Domains (Rasool & Chaudhary, 2022)
• Jupyter Notebooks for Introducing Data Science to Novice Users (Fruchart et al., 2022)
• Towards a Systematic Review of Data Science Programs: Themes, Courses, and Ethics (Nellore & Zimmer, 2022)
• Application of data science and bioinformatics in healthcare technologies (Veeranki & Varshney, 2022)
• TAPS Responsibility Matrix: A tool for responsible data science by design (Urovi et al., 2023)
• Data Detectives: A Data Science Program for Middle Grade Learners (Thompson & Irgens, 2022)
• MACHINE LEARNING FOR NON-MAJORS: A WHITE BOX APPROACH (Mike & Hazzan, 2022)
• COMPONENTS OF DATA SCIENCE AND ITS APPLICATIONS (Paul et al., 2022)
• Analysis on the Application of Data Science in Business Analytics (Wang, 2022)

As you can see, these research topics are a lot more focused than the generic topic ideas we presented earlier. So, for you to develop a high-quality research topic, you’ll need to get specific and laser-focused on a specific context with specific variables of interest.  In the video below, we explore some other important things you’ll need to consider when crafting your research topic.

Get 1-On-1 Help

If you’re still unsure about how to find a quality research topic, check out our Research Topic Kickstarter service, which is the perfect starting point for developing a unique, well-justified research topic.

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Data-driven decision making via sales analytics: introduction to the special issue

• Published: 26 July 2020
• Volume 8 , pages 125–126, ( 2020 )

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• J. Ricky Fergurson 1  

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Sales powers business throughout the world. While sales (and marketing) literature has spent much time exploring analytics and measurement, there seems to be a revitalized interest in sales and especially sales data and analytics. Marketing analytics powers the current wave of data-driven decision making, and leveraging strategic data remains a source of building a sustainable competitive advantage. In Volume 1, edition 1 of Journal of Marketing Analytics , Breur ( 2013 , p. 1) proclaimed in the journal’s first editorial,

We’re drowning in data. Structured data, unstructured data, ‘Big Data,’ in an increasingly digital world, we create even more data. According to an IDC report, the global growth in data volumes amounts to about 60 percent per year. That means it will grow tenfold every 5 years!.

As we stand here seven years later, the available amount of data has grown exponentially due to the increased connectivity and data availability made possible by technology increasingly permeating the sales profession. Salespeople, sales managers, and executives must quickly make sense of oceans of sales-related data. With this influx of sales data, organizations need to develop actionable insights for their sales teams and their clients. The Sales Education Foundation ( 2020 ) notes that sales-specific research is necessary for bridging the gap between academia and industry. In reinforcing this need, the Sales Education Foundation has provided more than $125,000 in grants to promote high-quality sales research since 2011. (Sales Education Foundation 2020 ).

Additionally, more universities are beginning to add sales analytics to their available sales courses. Given this increased availability of sales data and information and the apparent growing demand for sales research, I feel that reaching a better understanding of sales analytics is paramount in academic research. That is why I felt honored to be invited to edit this special issue on sales analytics.

The business world changes rapidly, and organizations must be able to help there sales teams adapt to these changes. Sales managers need the availability to quickly access published research to gain insights into best practices and solid methodology to deal with their daily challenges (Sales Education Foundation 2020 ). With the recent upheaval of industry due to the COVID-19 pandemic, the potential rise or fall of some corporations hinges on their ability to leverage sales data assets quickly and effectively. The goal of the Journal of Marketing Analytics has always been to incorporate rigorous research methods with real-world cases so that academics and industry professionals can stay on top of the latest trends and cutting-edge analytics. Measurement has always played a pivotal role in connecting theoretical concepts, and the conclusions reached about these concepts in academic research. As noted by Krishen and Petrescu ( 2018 , p. 117), “Metrics and data are empty shells without proper theories and interpretations behind them.” Hall and Lee ( 2019 ) reinforced this insight in the Journal of Personal Selling & Sales Management’s special edition on “Measurement in Sales Research” by accentuating the strong links between theories, empirical data, and research conclusions.

As I set out to consider the many submissions for this special issue and extend invitations to reviewers, it was inspiring to see the high commitment level by sales scholars. The overarching goal was to meld strong theoretical and empirical analytics research in sales and sales management. The articles published in this special issue accomplish that goal and offer insightful views into each of their chosen topics. In each article, the authors’ insights and perspectives lay a foundation that should be considered for future academic research. The first two articles provide a common theme in regard to using CRM.

First, Hoyle et al. dissect how sales managers and salespeople are using the modern-day tools at their disposal to achieve accurate sales forecasting and the resulting impacts. In doing so, this article examines factors that influence the type of forecasting used and potential explanations for why. While recognizing the importance of data-driven decisions and predictive analytics in organizational success and the ability to improve day-to-day efficiencies, Hoyle et al.’s research demonstrates that there is a lack of action and follow through on these ideals among both sales managers and salespeople. This research offers several managerial contributions relating to the process of sales forecasting. It also puts forth a call for further research on forecasting, including the role of varied CRM and ERP systems, sales force automation, and other technologies to identify the diverse impacts on forecasting, planning, and goal setting.

Second, Rodriguez and Boyer integrate Technology Acceptance Model (TAM) and IS success model to explore the influence (Mobile CRM) mCRM has on sales performance. This article applies an adaptation of mCRM to salespeople in a business-to-business context. This research also helps elucidate the role mCRM plays in traditional CRM adoption.

In the other two articles, Merkle et al. use a unified theory of brand equity to explore the decline of Major League Baseball (MLB) ticket sales and game attendance within the framework of MLB brand equity. Additionally, this research examines the mediating role of attendance and local television and the moderating role of Twitter followers in the relationships between MLB marketing assets and the financial performance of the teams using secondary data from multiple sources. Additionally, Said looks at a bibliometric analysis of salesforce research from 1912–2019 to put forth a four-step procedure to merge SCOPUS and Web of Science databases when performing a bibliometric analysis. This research demonstrates that doing separate bibliometric analyses of each database does not prove a complete picture of the state of knowledge and tendencies in a field.

It was my pleasure to work with the reviewers and authors to put this special issue together. As I feel that critical research into sales analytics is still in its infancy, I hope that this special issue lays a foundation for the academic community to conduct further sales analytics research.

Breur, T. 2013. Editorial. Journal of Marketing Analytics 1: 1–2.

Article   Google Scholar  

Hall, Z.R., and N. Lee. 2019. Taking the measure of measurement in sales research: Introduction to the special issue. Journal of Personal Selling & Sales Management 39 (3): 201–206.

Krishen, A.S., and M. Petrescu. 2018. Marketing analytics: Delineating the field while welcoming crossover. Journal of Marketing Analytics 6: 117–119.

Sales Education Foundation. 2020. Elevating sales research . https://salesfoundation.org/elevating-sales/sales-research/ . Accessed 14 June 2020.

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Fergurson, J.R. Data-driven decision making via sales analytics: introduction to the special issue. J Market Anal 8 , 125–126 (2020). https://doi.org/10.1057/s41270-020-00088-2

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Published : 26 July 2020

Issue Date : September 2020

DOI : https://doi.org/10.1057/s41270-020-00088-2

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What Is Marketing Analytics?

• 21 Jan 2021

Marketing efforts, both paid and organic, share the same overarching goals: increase brand awareness, drive thought leadership, and generate qualified leads. Broad goals like these can be broken down into specific, trackable metrics that marketing teams can use to define success and gauge performance.

If you’re not a marketer or have never engaged with marketing analytics, you may wonder how progress is tracked, where marketing data comes from, and why analyzing it is important. This is where marketing analytics comes into play.

Access your free e-book today.

Marketing analytics is the process of tracking and analyzing data from marketing efforts, often to reach a quantitative goal. Insights gleaned from marketing analytics can enable organizations to improve their customer experiences, increase the return on investment (ROI) of marketing efforts, and craft future marketing strategies.

According to a report conducted by PwC, highly data-driven companies are three times more likely than their less data-driven counterparts to see significant improvements in decision-making. Whether you work with marketers or are one yourself, it’s important to be familiar with the basics of marketing analytics and how it can inform your organization's decisions.

Where Does Marketing Data Come From?

The data you use to track progress toward goals, gain customer insights, and drive strategic decisions must first be collected, aggregated, and organized. There are three types of customer data: first-party, second-party, and third-party.

• First-party data is collected directly from your users by your organization. It’s considered the most valuable data type because you receive information about how your audience behaves, thinks, and feels.
• Second-party data is data that’s shared by another organization about its customers (or its first-party data). It can be useful if your audience types are the same or have similar demographics, if your companies are running a promotion together, or if you have a partnership.
• Third-party data is data that’s been collected and rented or sold by organizations that don’t have a connection to your company or users. Although it’s gathered in large volumes and can provide information about users similar to yours, third-party data isn’t the most reliable because it doesn’t come from your customers or a trusted second-party source.

While it’s important to know that second- and third-party sources exist, first-party data is the most reliable of the three because it comes directly from your customers and speaks to their behaviors, beliefs, and feelings. Here are some ways to collect first-party data.

Surveying your current and potential customers is a straightforward way to ask them about their experiences with your product, their reason for purchasing, what could be improved, and if they’d recommend your product to someone else—the possibilities are endless. Surveys can be anything from multi-question interviews to a popup asking the user to rate their experience on your website.

An A/B test is a way of testing a hypothesis by comparing user interactions with a changed version of your website or product to an unchanged version. For instance, if you hypothesize that users would be more likely to click a button on your site if it were blue instead of red, you could set up an A/B test in which half of your users see a red button (the control group) and half see a blue button (the test group). The data collected from the two groups’ interactions would show if your hypothesis was correct. A/B tests can be a great way to test ideas and gather behavioral data.

Organic Content Interaction

Interaction with organic content—such as blog posts, downloadable offers, emails, social media posts, podcasts, and videos—can be tracked and leveraged to understand a user’s purchasing motivation, their stage in the marketing funnel, and what types of content they’re interested in.

Paid Advertisement Interaction

You can also track when someone engages with a digital ad you’ve paid to display, whether it’s on another website, at the top of search results, or sponsoring another brand’s content. This data is crucial in determining where your customers are coming from and what stage of the funnel they see your ads.

Related: How to Learn Business Analytics Without a Business Background

How Is Marketing Data Analyzed?

With numerous types and sources of marketing data, it must be aggregated and structured before analysis. Some platforms you can use to do so are:

• Google Analytics
• Sprout Social

In addition to tracking and aggregating data, you can use several of these platforms to conduct analyses and pull out key insights with algorithms. You can also manually analyze data by exporting datasets into Microsoft Excel or another statistical program, create visual representations of it using graph or chart functions, and run regressions and other analytical tests.

Why Is Marketing Analytics Important?

Understanding how to gather, aggregate, and analyze data can enable you to extract useful insights you can use to make a data-informed impact on your organization.

1. Improve the User Experience

Collecting and analyzing your users’ first-party data can reveal how they feel about their interactions with your product and website. Whether their feelings are explicitly stated (for instance, in a survey) or implicit in their behaviors (for instance, leaving the website shortly after loading the page), having this qualitative and quantitative information can allow your organization to make changes that address their needs and increase the potential for leads to become customers.

2. Calculate the Return on Investment of Marketing Efforts

Another important function of marketing analytics is calculating monetary gain that can be attributed to specific marketing channels or campaigns. To calculate the return on investment for a specific marketing effort, use the following formula:

ROI = (Net Profit / Cost of Investment) x 100

For example, say you release a video explaining the benefits of your product that costs $1,000 to produce. You track how many people navigate to the product page on your website immediately after watching the video and see that it led to 30 new customers in a given period. If your product costs $50, and each new lead bought one, you can attribute $1,500 of revenue to the video. The net profit, in this case, is $500.

Plugging this into the ROI formula looks like this:

ROI = ($500 / $1,000) x 100

ROI = (0.5) x 100

Any time ROI is a positive percentage, the marketing effort—in this case, the video—can be considered profitable. Without data to understand where leads are coming from, calculating the financial impact of specific efforts wouldn’t be possible. ROI calculations can determine which marketing efforts drive the most sales and prove projects' value.

3. Plan Future Marketing Strategies

With knowledge of your customers and the ability to track your marketing efforts’ return on investment, marketing analytics provides an opportunity to create data-driven strategies for your organization.

By analyzing marketing data, you can discover what’s working, what hasn’t worked, and how your customers feel about their experiences with your product and website. You can also get a full picture of the impact that marketing efforts are having on your company.

With that information, you can plan for the future. What should you do more of to reach your quantitative goals? Which effort failed to generate new leads and should be dropped from future plans? Data analytics helps you strategize and answer these kinds of questions.

Becoming a More Analytical Marketer

Harnessing the power of data can enable you to make strategic decisions and feel confident in your marketing efforts.

Honing your analytical skills can be as simple as considering others’ points of view, playing strategic games and brain teasers, or engaging with data on a daily basis. It can also be as structured and purposeful as taking an online analytics course to build your skill set and make connections in the analytics field.

Are you interested in strengthening your analytical skills? Explore Business Analytics and learn to collect, analyze, and interpret data to make an impact.

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370+ Best Marketing Research Topics & Ideas for Students to Consider

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Ever had that brain-freezing moment where you're staring at a blank page, desperately hunting for that perfect marketing research topic? We've all been there. Welcome to your new cheat-sheet – a collection of unique, compelling, and downright cool marketing research paper topics. 

This isn't your standard list. We've gone beyond the beaten track, exploring the wild frontier of marketing, from neuromarketing mysteries to influencer insights. We've broken it down into digestible sections, so you can dive straight into your area of interest or academic level. Go ahead, check out these marketing research topics for papers and dissertations to make your next project shine!

What Are Marketing Research Topics?

In its simplest form, marketing is all about telling a compelling story to your audience. It's how businesses communicate the value of their products or services to customers, intending to promote and sell them. Yet, it's not just about selling. Marketing also involves understanding customer needs, crafting solutions to meet these needs, and building relationships that result in customer loyalty.

Now, when it comes to marketing research topics, you'll find an expansive universe of possibilities, each as diverse as the next. You might explore how to position your product to maximize impact or delve into the powerful online strategies that can make your brand viral. Or, you could examine the psychology behind consumer behavior, understanding what drives people to buy one product over another. 

These are just a handful of the abundant marketing topics you can encounter. Now let’s see what branches they are divided into.

Branches of Marketing Topics

Before you choose any marketing research topic idea, let’s figure out the main branches of this field. Here are the buckets they fall into:

• Strategic marketing: This is the art of planning with a long-term view. Topics here could cover competitive positioning, market segmentation, or establishing a unique selling proposition.
• Digital marketing: This direction is all about reaching customers online. You might explore search engine optimization, email marketing campaigns, or the effectiveness of different digital advertising strategies.
• Social media marketing: This branch leverages social platforms to engage customers. Marketing topics here could revolve around the role of influencers, the power of user-generated content, or the impact of social media on brand perception.
• Content marketing: This revolves around creating valuable content for customers. Here, you could delve into the importance of storytelling, how to create compelling blog posts, or the effectiveness of video marketing.
• Consumer behavior: This branch focuses on understanding what drives consumers. You might examine factors influencing buying decisions, the psychology of consumer choice, or trends in consumer behavior.

How to Choose a Marketing Research Topic?

Choosing the right marketing research paper topic is crucial for a couple of reasons. Firstly, a good topic can keep you motivated throughout your study. It can be the difference between seeing your research as a chore or an adventure. Secondly, a well-chosen topic can contribute to the field, spark discussions, or even influence marketing strategies.

So, what makes a marketing research topic good? Most importantly, it should be an area of interest that excites you and piques your curiosity. Researching something you don't care about won't bring out your best work. Also, make sure the topic is relevant – check if it fits into the current research landscape or challenges existing knowledge. Last but not least, ask yourself if the topic is manageable within the scope of your assignment and resources. 

With these criteria in mind, let's see how to select the right marketing research topic. Below are some valuable suggestions from our thesis writing service :

• Begin research Get familiar with the field by reading up on the latest publications and material. Note down all ideas for later reference.
• Identify your interest area Start by asking yourself what aspect of marketing excites you most. Is it the psychology of consumer behavior, the analytics of digital marketing, or the creative aspects of content marketing?
• Examine current trends Stay updated with the latest developments in the marketing field. Read industry reports, blogs, or news to identify hot topics or emerging trends.
• Find a gap Look for questions that haven't been sufficiently answered or areas that need more exploration. This could be a unique perspective on an existing topic or an entirely new question.
• Consider practicality Make sure your topic is feasible to research. Do you have access to the necessary resources, data, or tools?

Remember, choosing the right topic is a journey, one that requires time, exploration, and sometimes, a bit of trial and error. Don't rush it, savor the process, and you'll end up with a great topic. But in case you are stuck, we developed a list of potential research topics in marketing – all worth attention.

List of Marketing Research Topics & Ideas 

We've collated a captivating list of marketing research paper topics, perfect for igniting your curiosity and sure to impress your professors. Remember to align your chosen topic with your course requirements to ensure it's the perfect fit. Let's dive in!

• Engaging Gen Z through social media marketing.
• Challenges and opportunities in influencer marketing.
• Ethical boundaries in digital advertising.
• Rise of voice search: Impact on SEO.
• Sustainable marketing: Beyond a trend?
• Navigating cultural differences in international marketing.
• AI and personalization in digital marketing.
• Consumer behavior in online vs. offline shopping.
• Impact of viral marketing on brand awareness.
• Neuromarketing: Exploring the consumer's mind.
• The role of AR and VR in enhancing consumer experience.
• Branding in the age of social movements.
• Efficacy of content marketing in B2B sectors.
• Emotional marketing: Manipulation or genuine connection?
• Privacy concerns in data-driven marketing.

Good Marketing Research Topics

Eager to dive deeper into the world of marketing? Here are more fresh and exciting marketing project topics. Each is poised to offer intriguing insights and comes with plenty of data to fuel your arguments. Get ready to explore!

• Measuring the impact of customer reviews on sales.
• Gamification as a marketing strategy: Pros and cons.
• How color psychology influences branding?
• Experiential marketing: A new customer engagement strategy.
• How does social responsibility improve brand image?
• Celebrity endorsements: Effective or outdated?
• Ethical implications of neuromarketing.
• Green marketing: Just a trend or a sustainable strategy?
• Impact of humorous advertising on brand recall.
• Local SEO strategies for small businesses.
• How storytelling boosts content marketing success?
• Role of AI in predicting consumer behavior.
• Effects of scarcity tactics in e-commerce.
• Mobile marketing trends shaping the future.
• Impact of data privacy regulations on digital marketing.

Interesting Marketing Research Topics

Looking for a theme to add a dash of intrigue to your research? Explore this list of market research topics guaranteed to spark curiosity and foster insightful discussions.

• Using virtual reality for product demonstrations.
• Impact of emotional appeals in advertising.
• How does nostalgia influence consumer choices?
• Role of chatbots in improving customer service.
• Leveraging user-generated content for brand promotion.
• Social media's role in crisis management.
• Role of big data in personalized advertising.
• Is there a backlash against intrusive online ads?
• Psychology behind successful loyalty programs.
• Impact of culture on global advertising strategies.
• Influencers vs. celebrity endorsements: Which is more effective?
• Ethical implications of predictive analytics in targeting consumers.
• Effectiveness of cause marketing in boosting sales.
• Role of augmented reality in enhancing shopping experiences.
• Strategies for improving online customer engagement.

Best Marketing Research Topics

What sets outstanding marketing research projects apart? They should be relevant, intriguing, and offer new insights. With that in mind, we've compiled the best research topics in marketing that tick all these boxes. Ready to make your research truly outstanding? Dive in!

• Influence of virtual reality on consumer experiences.
• Power of storytelling in brand building.
• How does sustainability shape consumer choices?
• Impact of memes on online brand promotion.
• Role of blockchain in ensuring ad transparency.
• Emotional intelligence in customer service: Is it crucial?
• Does user-generated content boost trust in brands?
• Social media's impact on body image: A concern for advertisers?
• Role of data analytics in shaping promotional strategies.
• Ethics in advertising: How far can shock tactics go?
• Evolving consumer expectations in the era of personalization .
• What drives the success of viral ads?
• How does color influence brand recognition ?
• Impact of artificial intelligence on consumer data collection.
• Strategies to counter negative publicity on social media.

New Research Topics in Marketing

As an ever-evolving field, marketing constantly introduces new areas to investigate. It's vital to keep abreast of the latest trends to discover untapped research topics. To help you stay ahead of the curve, here are brand new marketing research topic ideas, each one reflecting innovations in the field.

• Role of voice assistants in shaping buyer behavior.
• Exploring the ethics of using AI in advertising.
• Omnichannel retailing: A shift in consumer shopping experience?
• Role of podcasts in influencing consumer behavior.
• How does virtual reality reshape shopping experiences?
• Personalization vs. privacy: A growing concern in digital advertising?
• Use of drone technology for product delivery.
• Impact of artificial intelligence on customer segmentation.
• Role of WhatsApp chatbots in e-commerce: Do they enhance customer satisfaction?
• How does mobile payment influence consumer buying behavior?
• Influencer marketing in the age of fake followers.
• The rise of shoppable posts in social media.
• Exploring the potential of augmented reality in product visualization.
• How do data breaches affect brand trust?
• Impact of social media algorithms on content visibility.

Controversial Topics in Marketing

Struggling to come up with an interesting research topic on marketing? Consider exploring controversial marketing ideas. These themes can help you to spark heated debates and draw attention from your tutor. Below are a few fantastic controversial marketing topics to write about. 

And don't forget, you can pick a topic and entrust it to a professional essay writer online . Our experts can conduct thorough research and deliver top-quality work, no matter how complex the subject. Take your pick and let our professionals do the heavy lifting for you!

• Has the rise of ad-blockers signified failure in digital advertising?
• Deceptive marketing tactics: Where is the line drawn?
• Does native advertising compromise journalistic integrity?
• Ethical dilemmas of data mining in personalized marketing.
• Use of sexual imagery in advertising: Effective or exploitative?
• Neuromarketing: Intriguing science or manipulative strategy?
• Are shock tactics in advertising crossing the line?
• Role of consumerism in environmental degradation.
• Negative impacts of beauty standards perpetuated by ads.
• Is manipulation an inherent part of marketing?
• Stereotypes in advertising : Harmless categorizing or dangerous bias?
• Social media marketing to children: Ethical or exploitative?
• Are privacy concerns leading to a decline in personalized advertising?
• Does influencer marketing promote unrealistic lifestyle expectations?
• Is greenwashing a consequence of sustainability trends in marketing?

Marketing Topics & Ideas for Students

Are you searching for marketing topic ideas tailored to your academic level? You're in the right place! In the following sections, you'll discover multiple marketing essay topics and research ideas organized according to various levels of study. Scroll down, find your academic level, and start exploring!

Marketing Research Topics for College Students

College is a time for exploration and growth, and what better way to study this niche than with some thought-provoking marketing research ideas for college students? Take a look at these titles suitable for a college-level understanding, yet engaging enough to fuel your curiosity.

• Subliminal advertising : Myth or reality?
• Impact of music in retail environments on consumer behavior.
• The role of humor in successful ad campaigns.
• Exploring the 'Fear of Missing Out' (FOMO) effect in event marketing.
• Push vs. pull marketing strategies : Which works better?
• Marketing campaigns that changed public opinion.
• Celebrity scandals: A death knell for brand image?
• Influence of packaging design on purchase decisions.
• The role of color psychology in food marketing.
• Impact of customer relationship management (CRM) on customer loyalty.
• Are loyalty programs effective in retaining customers?
• The role of social proof in online sales.
• How cultural factors influence buying decisions.
• Word-of-mouth marketing in the digital age.
• The effect of customer service quality on brand loyalty.

Marketing Research Topics for University Students

As a university student, you're expected to tackle more complex tasks. So, we've curated a list of advanced marketing research ideas, perfect for a university level understanding.

• How globalization shapes brand strategies.
• Is corporate social responsibility just a trend or a necessity?
• The influence of economic downturns on consumer behavior.
• Emotional connections: Are they key in fostering customer loyalty?
• Understanding the ' Halo Effect ' in brand perceptions.
• Lessons learned from cross-cultural promotional blunders.
• Exploring the psychology behind pricing strategies.
• The role of neurolinguistic programming in persuasive messaging.
• How sensory experiences enhance customer interactions.
• Nudging consumer behavior: Is it ethical?
• The impact of data analytics on strategic decision-making.
• Unraveling the gender stereotypes present in commercials.
• Assessing the effectiveness of ambush promotional strategies.
• How does ethical branding improve a company's image?
• Tracing the evolution and impact of guerrilla promotional strategies.

Marketing Research Topics by Category

As promised, we've meticulously organized an array of marketing topics for a research paper into specific categories for your convenience. Whether you're interested in digital marketing, consumer behavior, or any other subfield, just scroll down. Below, you'll find our comprehensive collection, each with a selection of field-specific marketing research paper ideas.

Digital Marketing Research Topics

Digital marketing revolves around promoting and selling products or services using digital platforms. As this domain continues to grow, it opens up a multitude of unique research avenues. Let's uncover some digital marketing topics to discuss:

• Role of artificial intelligence in customer segmentation.
• Does video content really boost online engagement?
• Potential of augmented reality for product visualization .
• Understanding consumer trust in online reviews.
• Effectiveness of mobile apps in customer retention.
• Future of email promotion in social media era.
• Role of SEO in driving organic traffic.
• Impact of page loading speed on bounce rates.
• Online sales: Does free shipping enhance conversion rates?
• Influencer collaboration vs paid advertising : What offers better ROI?
• Impact of personalization on e-commerce conversion rates.
• Importance of responsive design in user experience.
• Is social proof essential for online sales conversion?
• Podcasts as a promotional tool: How effective are they?
• Evolution of privacy laws and its impact on online data collection.

Strategic Marketing Research Problems Topics

Global brand strategies with setting goals, deciding on actions to achieve these goals, and mobilizing resources to execute the actions. It requires a thorough understanding of market trends, competitive landscapes, and consumer behavior. Take a glance at these topics in marketing that explore various problems and challenges in this subfield:

• Impact of poor internal communication on marketing strategy.
• Aligning brand identity with customer perceptions.
• Challenges in establishing a global brand strategy .
• Role of competitive intelligence in shaping business strategy.
• Impact of poor customer service on brand loyalty.
• Mergers and acquisitions.
• Role of organizational culture in strategy implementation.
• Navigating the risks of product diversification.
• Coping with increased price competition in saturated markets .
• Impact of supply chain disruptions on product availability.
• Overcoming barriers in implementing green business practices.
• Strategies for maintaining brand relevance in fast-paced markets.
• How does a changing regulatory environment impact strategy formulation?
• Importance of innovation in maintaining a competitive edge.
• Balancing profit margins and customer satisfaction in pricing strategy.

Social Media Marketing Research Paper Topics

It’s hard to imagine our life without social media. It has revolutionized the way we communicate and interact with one another. In this regard, there are a bunch of research topics on marketing for students who need to write a social media essay or paper.

• The rise of TikTok: Understanding its business appeal.
• How does Instagram's 'Shop Now' feature affect consumer behavior?
• The role of LinkedIn in B2B lead generation.
• Assessing the influence of Twitter's character limit on message effectiveness.
• Exploring Facebook's 'Reactions' and their impact on brand engagement.
• Potential of Pinterest for visual brand storytelling.
• Snapchat's 'Story' feature: A boon for experiential branding?
• The impact of YouTube influencers on purchase decisions.
• Understanding the role of social listening in reputation management.
• Virality on social platforms: A calculated strategy or pure luck?
• Live streams as a tool for real-time audience engagement.
• The ethics of social media data mining.
• User-generated content: An untapped branding tool?
• Role of social platforms in crisis communication.
• Analyzing the popularity of unboxing videos on social media.

>> More ideas: Social Media Research Paper Topics

Content Marketing Research Topic Ideas

Content marketing is all about creating, publishing, and distributing content for a targeted audience. It's about storytelling, providing valuable information, and building relationships with customers. Here are some fascinating content marketing topics for research:

• Evaluating the impact of blog posts on SEO.
• Long-form vs short-form content: What's more engaging?
• Infographics: A tool for simplifying complex information.
• Podcasts: A rising star in information dissemination?
• Understanding the role of eBooks in lead generation.
• Is interactive content the future of customer engagement?
• Webinars: Are they still relevant in the age of short videos?
• White papers: Their influence on decision-making in B2B.
• How does user-generated content shape brand perception?
• The rise and role of meme culture in content strategy.
• Storytelling in branding: Fad or fundamental?
• Exploring the trend of episodic content in audience retention.
• Role of content curation in demonstrating industry thought leadership.
• Using case studies as social proof in conversion strategy.
• The impact of voice search on content creation.

Marketing Research Topics in Consumer Behavior

Consumer behavior explores how individuals, groups, and organizations select, use, and dispose of goods, services, or ideas. It seeks to understand the decision-making processes and what influences them. Consider these topics of marketing and consumer behavior:

• Environmental concerns and their role in purchase decisions.
• Family influence on children's brand preferences.
• Celebrity endorsements and their impact on consumer trust.
• Psychological triggers and implications of impulse buying.
• Loyalty programs and their influence on repeat purchases .
• Brand image and its effect on product evaluation.
• Role nostalgia plays in purchase decisions.
• Psychology behind buying 'limited edition' items.
• Color and its impact on consumer perceptions and behaviors.
• Music's influence on shopper mood and behavior in stores.
• 'Made locally' label's effect on consumer choice.
• Fear of missing out (FOMO) in online buying.
• Customer reviews and their impact on online shopping behavior.
• Social media's influence on body image and related product choices.
• Paradox of choice: More selection leading to less satisfaction?

B2B Marketing Project Topics

Business-to-business (B2B) marketing focuses on selling products or services to other organizations. This subfield offers a range of topics related to marketing research. Take a look at some of our suggestions:

• Impact of digital transformation on business sales.
• LinkedIn's role in lead generation for businesses.
• Efficacy of email marketing in business transactions.
• Chatbots: Enhancing customer service in business marketing?
• Necessity of personalization in business marketing.
• Influence of webinars in generating leads for businesses.
• Understanding influencer marketing in a business context.
• Ethical issues in data collection for business marketing.
• A deep-dive into account-based marketing strategies .
• Role of predictive analytics in business marketing.
• Marketing strategies designed for small businesses.
• Overcoming challenges in business branding.
• Efficacy of content marketing in a business context.
• Implications of GDPR on business marketing.
• Emerging trends in business marketing.

>> View more: Business Topics to Write About

International Marketing Research Topics

International marketing focuses on understanding and responding to global opportunities. It requires a more extensive research approach with an eye towards cultural, political, and economic developments outside the home country. Explore these international market research ideas for papers:

• Cultural nuances and their impact on advertising strategies.
• Cross-border e-commerce: Growth and challenges.
• Exploring the role of localization in global branding.
• Understanding tariff wars and their impact on marketing strategies.
• Influence of political climate on international marketing decisions.
• International public relations: A comparative study.
• Social media and its role in global product launches.
• A study of emerging markets and their attractiveness for marketers.
• International consumer behavior: Similarities and differences.
• Localization vs. standardization in global marketing.
• Case study: Successful global rebranding campaigns.
• Impact of Brexit on European marketing strategies.
• Green marketing practices across the globe.
• International market segmentation and targeting strategies.
• International marketing ethics: A cross-cultural analysis.

Real Estate Marketing Research Topics

Real estate marketing involves understanding and responding to the needs of potential buyers, sellers, and investors in the property market. Go through these project topics in marketing related to real estate research:

• Marketing luxury apartments: Challenges and solutions.
• Selling residential properties in a buyer's market.
• How social media influences property buying decisions.
• Effectively marketing rental properties in competitive markets.
• Marketing strategies for eco-friendly homes.
• Role staging plays in promoting properties.
• Drones: The new trend in real estate showcasing.
• Advertising strategies in rapidly urbanizing areas.
• Promoting properties through influencer partnerships.
• Customer reviews' impact on online property listings.
• Neighborhood branding's influence on real estate sales.
• Online vs offline property promotion: A comparative study.
• Comparing marketing strategies: Luxury versus budget properties.
• Marketing properties during economic downturns.
• Digital marketing best practices for property agents.

Marketing Research Paper Topics in Distribution

The world of distribution is multi-layered and complex, intertwined with other key areas like logistics, supply chain management, and marketing. It's about ensuring products get into the hands of customers efficiently. Investigate this exciting area with these research topics in marketing field.

• Impact on sales: Direct vs indirect distribution methods.
• Influencing factors in selecting distribution channels.
• E-commerce's revolutionizing role in product distribution.
• Case study: Successful distribution strategies in retail.
• Drones and future delivery systems: A feasibility study.
• Role big data plays in optimizing distribution channels.
• How sustainable practices influence distribution strategies.
• Importance customer convenience plays in distribution planning.
• Overcoming distribution challenges in rural areas.
• Examining the relationship: Distribution strategies and market share.
• AI's role in streamlining distribution processes.
• Omnichannel distribution: A necessity or a luxury?
• Importance distribution planning plays in new product launches.
• Distribution's role in creating a competitive advantage.
• Changes in distribution strategies due to the pandemic.

Neuromarketing Research Topics

Neuromarketing focuses on how psychological, cognitive, and emotional processes affect consumer behavior. It combines neuroscience with traditional marketing research for a deeper understanding of decision-making processes. Here are some interesting neuromarketing topics:

• Influence of colors on consumer decision making.
• How product placement impacts buying behavior.
• Emotional triggers in advertising: An analysis.
• Consumer responses to sensory branding .
• Impacting purchase decisions with visual illusions.
• Role of auditory cues in product preference.
• Influence of olfactory cues on consumer behavior.
• Celebrity endorsements and neural responses.
• Comparing digital vs. physical shopping experiences: A neuromarketing perspective.
• Effects of negative emotion on impulse buying .
• Role neurolinguistics plays in shaping consumer opinions.
• Neuromarketing strategies for personalized advertising.
• Video vs. image ads: A comparative neuromarketing study.
• Assessing effectiveness of humor in ads: A neuroscientific approach.
• How storytelling in marketing sways the consumer's brain.

>> View more: Psychology Paper Topics

Influencer Marketing Topics for Research

Influencer marketing blends social media and advertising. It's an evolving field, ripe for research. We invite you to check these compelling research paper topics about marketing and influencers:

• Measuring return on investment in influencer marketing.
• How micro-influencers impact small business growth.
• Authenticity versus promotion: Striking a balance.
• Ethics in influencer marketing: A critical review.
• Power social media influencers hold over consumer behavior.
• Video blogging and brand visibility.
• Effect of influencer-led contests on audience engagement.
• Does influencer reputation affect brand perception?
• Celebrity versus non-celebrity influencers: Who wins?
• Impact of influencer gender on audience engagement.
• Fashion influencers and their role in brand awareness.
• Fitness influencers: Inspiring or creating pressure?
• Role influencers play in promoting sustainable products.
• Influencers and crisis management: A case study approach.
• Influencer partnerships: Temporary boost or long-term gain?

Ethical Marketing Research Paper Topics

Ethical marketing revolves around the principles of honesty, fairness, and responsibility in advertising practices. With an increasing emphasis on business ethics, research in this area can yield insightful findings. Consider these awesome research paper topics related to marketing and ethics:

• Honesty in advertising: A lost art?
• Exploring fairness in competitive marketing practices.
• Corporate social responsibility: Marketing strategy or ethical obligation?
• Greenwashing: Misleading environmental claims in advertising.
• Privacy and data collection: An ethical debate.
• Ethical implications in children's advertising.
• Body positivity and marketing: Strides and stumbles.
• Cultural sensitivity in international marketing campaigns .
• Animal rights and marketing: Exploring ethical considerations.
• Influence of ethical claims on consumer perception.
• False advertising: Consequences and solutions.
• Ethical dimensions in influencer partnerships.
• Human rights issues in marketing.
• Health claims in food advertising: Fact or fiction?
• Role of ethics in pharmaceutical marketing.

Integrated Marketing Communication Research Topics

Integrated Marketing Communication (IMC) blends different promotional tools to deliver clear, consistent, and compelling messages. IMC is crucial for brands to create unified customer experiences. Here are original, attention-grabbing integrated marketing communication topics for research :

• Role of social media in IMC strategy.
• IMC impact on customer loyalty.
• Public relations in an IMC context.
• Online-offline IMC strategies: A comparative study.
• Influencer endorsements in IMC: Effectiveness assessment.
• IMC in non-profit organizations: An exploratory study.
• Impact of IMC on brand equity.
• Event sponsorship in IMC plans.
• IMC strategy for launching new products.
• Role of IMC in crisis management.
• Digital transformation and its influence on IMC.
• IMC in enhancing customer relationships.
• AI and IMC: A synergy exploration.
• IMC for sustainable product marketing.
• Evaluating IMC success: Metrics and measurement methods.

Marketing Analytics Research Topics

Marketing analytics employs data and metrics to measure the success of marketing initiatives, enabling informed business decisions. Here are groundbreaking topics that offer intriguing insights into marketing analytics:

• Social media data: A gold mine for marketers?
• Predictive analytics in customer retention strategies.
• Quantifying influencer marketing: Metrics that matter.
• Role of big data in personalized branding.
• Real-time analytics in optimizing marketing campaigns.
• Analytics in content marketing: Determining success.
• AI-powered marketing analytics: Boon or bane?
• Sentiment analysis in brand perception.
• Location-based analytics in mobile branding.
• Web analytics: Decoding customer online behavior.
• Customer segmentation through data analytics.
• ROI calculation in digital marketing.
• Analyzing customer journey with cross-channel analytics.
• Leveraging analytics for email marketing.
• Voice search analytics: Future brand promotion tool?

Sport Marketing Topics to Write About

Sport marketing involves promoting teams, games, and related products to fans and broader audiences. It's an exciting field, mixing passion, business, and competition. Explore these sports marketing related topics if you are interested in this field:

• Social media's role in popularizing sport events.
• Fan engagement in a digital age.
• Impact of athlete endorsements on brand perception.
• Sustainability initiatives in the sports world.
• Leveraging virtual reality for improved fan experiences.
• Esports' influence on traditional sports promotion.
• Strategy shifts for supporting women's sports leagues.
• Analyzing the dynamics of sports sponsorship deals.
• Successful merchandising tactics for sports teams.
• Team performance and its influence on merchandise sales.
• Sports events as a tool for promoting tourism.
• Accessibility in sports venues: Implications for fan inclusion.
• Personal branding strategies for athletes.
• Controversy's role in athlete endorsements.
• Mobile trends shaping the sports industry.

Extra Marketing Research Paper Topics

Couldn't find a fitting topic in marketing? Don’t worry! We added some more ideas to choose from. Below are some additional topics you might like. Let’s continue your research on marketing topics together.

Marketing Presentation Topics

Presentations on marketing concepts can illuminate the strategies behind successful advertising campaigns, brand positioning, and customer engagement. These unique and original topics will provide an interesting spin on conventional marketing subjects:

• Humanizing artificial intelligence in customer relations.
• Role of silent films in modern advertising.
• Using quantum computing to optimize marketing efforts.
• Neural networks in predicting consumer behavior.
• Astral marketing: Leveraging astrology in branding.
• Biophilic elements in retail space design.
• Gamification in non-gaming brand experiences.
• Marketing possibilities in metaverse.
• Cybersecurity's influence on digital consumer trust.
• Marketing potential of brain-computer interfaces.
• Implementing circular economy principles in product promotion.
• Micro-moments: Capitalizing on instant decision making.
• Haptic technology's potential in experiential marketing.
• Role of digital twins in customer profiling.
• Impact of space tourism on brand partnerships.

Marketing Thesis Topics

Are you about to write a thesis or dissertation? Consider these pro-level marketing topics for thesis and dissertations:

• Emotional algorithms: Predicting consumer behavior through AI.
• Phygital retail : Blending physical and digital shopping experiences.
• Impact of blockchain technology on consumer trust in digital marketing.
• Sensory branding in virtual reality environments.
• Leveraging neuromorphic engineering for personalized marketing.
• Ethical implications of using deepfake technology in advertising.
• Quantum computing's potential impact on big data analytics.
• The role of immersive technology in shaping luxury brand experiences.
• Micro-personalization: Exploring marketing's hyper-customized future.
• Bio-adaptive marketing: The next frontier in personalization?
• Implications of facial recognition technology on privacy and marketing ethics.
• Exploring the marketing potential of Internet of Behaviors (IoB) .
• Edge computing's influence on real-time marketing strategies.
• Use of augmented intelligence in predicting consumer life cycle.
• Leveraging satellite technology for geolocation-based marketing.

Bottom Line on Marketing Topics for Research Papers

The marketing research paper topics and ideas attached above provide a great starting point for your project. But don't be afraid to address other angles related to the subject. Whatever you choose to study, make sure you draw clear connections between your sources and your argument. And if you need any help with writing or research, remember to contact our professional academic assistants.

Don't let the stress of academic papers overwhelm you. Trust our team of seasoned experts to craft a meticulously researched and structured paper for you. Buy a college paper from our professionals to achieve TOP results with ease!

Joe Eckel is an expert on Dissertations writing. He makes sure that each student gets precious insights on composing A-grade academic writing.

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71+ Research Paper Topics & Ideas for Marketing Students  

As a marketing student, you probably have access to a plethora of resources such as your college library and of course, the internet, to come up with great research paper topics.

However, the thought of writing your research paper can be daunting, especially if you’re still brainstorming and don’t know what to write about.

Just like any other piece of writing, start by keeping your audience in mind. Then, make a list of research paper topics that are more relevant to your interests, or a new under-developed field (for example; augmented reality, or people sentiments towards Artificial Intelligence), or a unique research topic that intrigues your audience.

But if you’re still struggling to pin down one out of the many research paper topics for your program, we’ll suggest a number of them for you to either choose from; or for you to take inspiration from and come up with your own.

Table of Contents

How to Choose the Best Research Paper Topics

Before we dive into the details, you’ll have to familiarize yourself with the basics. For starters, pick up a pen and paper and brainstorm different topics that you’d like to write about.

While personal interest is definitely important, we also suggest you opt for a topic that will intrigue your readers.  Here are a couple of factors you ought to keep in mind while selecting a topic:

Keeping your personal interest in mind

You probably won’t be able to write a stellar research paper if you’re not interested in the topic. Sit down with your peers and advisors to discuss possible ideas. It will be easier for you to discuss different themes once you’ve written down all your ideas in one place. If you’ve decided on a specific keyword for instance “consumer behaviour”, you can look for similar research papers on the internet.

A research paper isn’t a descriptive essay which you can drag aimlessly. Your research paper needs to be based on factual data and that’s only possible if you’ve conducted thorough research. While jotting down points for your first draft, ensure your statements are supported with references or examples citing credible academicals and research work.

Don’t leave it till the last day

A lot of students tend to undermine the writing process and leave for the last few days. Bear in mind that you can’t possibly write your entire research paper overnight. In order to succeed, you’ll have to devote sufficient amount of time to research.

Also, be prepared to schedule meetings with your advisor on a regular basis as you’re bound to require help along the way. At this point, make sure you only rely on credible sources that will support your dissertation.

Examples & List of Research Paper Topics

If you’re still unable to decide a topic of your interest, here is a list of 70 unique marketing research topics that you can use as marketing project topics for your MBA, or any other marketing course:

• How do organizations use CSR ( corporate social responsibility ) to reinforce brand equity?
• What manipulation tactics do brands use to get more customers?
• How can brand image be communicated via social media marketing?
• How can social media impact the buying choices of shoppers?
• Are consumers equipped to shield themselves from direct marketing strategies?
• Determine and analyze consumer buying behavior for [product name]
• How does advertising impact consumer behaviour?
• How does family orientation impact marketing communications?
• What characteristics do buyers look for when purchasing a product online?
• How does global marketing incorporate standardization?
• What attributes do consumers look for when comparing products online?
• How do financial institutions differentiate their goods and services on the basis of social class?
• Is direct marketing really the most effective form of marketing?
• What internet marketing trends can be expected for the future?
• How to marketing strategies differ across different cultures?
• Can brand advertising impact political campaigns?
• How do brands exploit impulsive buying?
• How does loyalty cards encourage sales and boost customer loyalty?
• Can well-marketed brands get away with selling substandard quality products?
• How is globalization having on impact on consumer behaviour?
• Impact of brand image on customer loyalty
• Brand attributes that lead to an increase in customer loyalty
• Successful marketing approaches that helped break through strong market monopoly
• Impact of cause marketing on brand affinity with young mothers
• Effect of consumer promotions and discount offerings on brand equity
• The outcomes of advertising in a recession
• Influence on Social Media advertising on consumer behaviour
• Effect of TV advertising on top of mind awareness
• Understanding customer perceptions around event sponsorships
• Does corporate social responsibility translate into sales?
• Canadians perspective on being targeted with mobile ads based on their browser history
• Is direct marketing welcomed by people?
• Are customers able to differentiate between various mortgage offering by competing banks?
• Does social media influence buying behaviour
• Do people like being click baited into sponsored posts?
• Understanding the impact of celebrity endorsements on ROI for CPG brands
• Women’s sentiments around comparison advertising
• How effective is comparison advertising to build brand equity?
• Do consumers prefer purchasing routine grocery products online?
• Is earned media perceived to be as important as it appears to be?
• What makes people want to share content to their friends?
• Understanding why content goes viral
• Marketing challenges around the evolving family structures
• Are we losing the emotional value and significance of money being in a cashless society?
• Is centralized global marketing a good idea for brand health in local markets?
• How is augmented reality going to enhance marketing experiences?
• How will artificial intelligence support in making better marketing decisions?
• Is immersion marketing through virtual reality technology going to be accepted?
• What does the luxury auto buyer look for in a car?
• How to instill a desire to purchase for customers in the luxury category
• Harmful effects of advertising to kids
• Impact of in-store branding on brand salience
• Effect marketing strategies for restaurant businesses
• Habit formation and ways to integrate new products in consumer lifestyles
• Is display advertising going to die?
• Can Snapchat help small business grow?
• How do customers perceive the brand who advertise on Instagram?
• The impact of humour in advertising
• Do customers pay attention to nutrition labels?
• What triggers impulse buying behaviour
• Essentials to sky rocket a new brand to heights of awareness
• The factors that lead to customer satisfaction in young adults
• Elements that help build an emotional connection with your audience
• How do males and females differ in their buying behaviour of mobile phones
• Does language targeting help in ethnic advertising?
• Customer Perceptions: Are well known brands good in quality?
• Is radio still an effective method of advertising?
• Rural vs Urban marketing challenges to be mindful of
• Impact of internal branding on employee retention and turnover
• An in-depth analysis of political marketing in Canada

More Categories of Research Topics

Still in need of some inspiration? Here are a few research paper areas that you can explore:

• Distribution
• Consumer Behavior
• Relationship Marketing
• Brand Management
• Nonprofit Marketing
• Market Segmentation & Targeting
• Internet Marketing
• Marketing Planning & Forecasting
• Product Design & Positioning
• Direct Marketing
• Advertising
• Purchasing & Materials Management

Hopefully, these marketing thesis topics will help you come up with a few topics of your own. If you’re still confused about which area, you’d like to work with, we suggest you consult your advisor for some additional help. Good luck!

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Top 15 Marketing Analytics Project Ideas for Practice in 2024

Looking for some exciting and unique marketing analytics project ideas? Here's a list of the top 15 marketing analytics projects for you!

This blog covers the top 15 marketing analytics project ideas worth exploring by anyone planning to land a job in marketing analytics. It lists some of the unique marketing analytics projects that will help you understand the use of marketing analytics in different industries.

40% of companies intend to boost data-driven marketing budgets in the current marketplace, and 64% of marketing executives believe data-driven initiatives are crucial. How do businesses leverage data-driven marketing approaches? Marketing analytics is organizing and analyzing data to assess the return on investment (ROI) of marketing campaigns such as calls to action.

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Table of Contents

Marketing analytics project ideas for practice, marketing analytics project topics in healthcare, marketing analytics projects in finance, marketing analytics projects in marketing, marketing analytics project example in banking, digital marketing analytics projects, project ideas for marketing analytics capstone projects, marketing analytics algorithms.

With a rising demand for marketing analytics worldwide, it's a great career option to explore. In today's rapidly evolving marketing industry, successful campaigns demand intelligent and competent individuals, or marketing analysts , that leverage the newest technology and insights. Marketing analysts assist businesses in determining not just how to reach a potential audience but also which items and services to offer. They are also responsible for building user profiles and influencing pricing decisions. The role of a marketing analyst includes-

evaluating the efficiency of marketing programs and initiatives

assessing client behavior and lead conversions

generating reports on metrics such as lead conversions, website traffic, etc.

engage with the sales teams to identify new customer acquisition prospects

Marketing analysts must possess specific skills to perform the responsibilities mentioned above. These skills include-

analytical skills,

ability to create dashboards and reports,

knowledge of predictive modeling

knowledge of SQL to work efficiently with data

ability to work with attribution modeling

Now, you have adequate knowledge of the responsibilities and skills of a marketing analyst. But, how can you start your journey towards becoming a marketing analyst? The primary step is to learn about the necessary tools and technologies useful in the domain, and the next step is to master those skills. How to do that? Here are the top 15 marketing analytics projects you can practice to strengthen your marketing analytics skills.

New Projects

The global healthcare analytics market will increase at a 28.8% CAGR to $93.3 billion by 2027. The rising demand for data analytics to enhance patient outcomes while cutting costs is driving the market for healthcare analytics.

Check out these helpful marketing data analytics project topics in the healthcare industry.

1. Pharma Sales Optimization

The project intends to make it easier for individuals in the Animal Healthcare industry to track the sales of items used to treat minor animal species. Businesses can compare product sales in the top-ranking and bottom-ranking cities in real time. The project could provide a comprehensive report on medical group sales and trends for any given period.

For example , Pfizer uses SAS and Noux to extract relevant insights from sales and distribution data formerly present in thousands of excel files. It allows Pfizer to track how often medicines sell in a specific location, which sales agents perform better than others, and how well they compete.

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2. Patient Outreach Optimization

Hospitals and pharmacies leverage predictive algorithms to examine patient data and develop dynamic customer personas with individual preferences and habits. Moreover, clinicians can use these profiles to create customized outreach messaging about therapies and drug efficacy. The marketing department can also use these personas to create email campaigns.

Use the patient treatment classification dataset available on Kaggle for working on this project. You can analyze the dataset and apply predictive algorithms such as the K-Nearest Neighbor algorithm. KNN algorithm will allow you to understand the preferences of all patients and further optimize the patient outreach in hospitals.

For example , SCIO Health provides insights and solutions for improving patient health using advanced algorithms and integrated health data. Their technology detects treatment inefficiencies that result in high expenses and poor health outcomes. Medical providers can target at-risk individuals and minimize avoidable hospitalizations and problems by recognizing these gaps.

There are many more marketing analytics project topics in the healthcare industry that you will find on platforms like Github, etc.

The global financial analytics market is forecast to increase at a CAGR of 11.53 percent to USD 25.38 billion in 2028. Financial analytics solutions enable organizations to gain insights into economic efficiency, operational Key Performance Indicators (KPIs), and sales revenue.

Below are a few sample marketing data analytics projects you can practice if you are interested in financial analytics.

3. Customer Acquisition Prediction

The intermediate goal of this project is to extract similarities and differences between the general population and the company's current client base. Next, use the extracted data to determine who is more likely to be potential clients of the company. Additionally, the organization can employ its email marketing to target those potential customers.

Use any customer dataset (e.g., Arvato Financial Services dataset on Github) for this project. The first step is analyzing demographic data from a company's customer base and comparing it to the general population. Then, using unsupervised learning techniques, find parts of the population that better represent the company's core client base. Lastly, build a supervised model predicting the target customers for a direct marketing campaign to maximize the campaign's ROI.

For example, Citibank is a major supporter of a data-driven, analytical strategy and often explores analytics use cases, including customer acquisition. The bank uses machine learning algorithms to evaluate its client data and use the results to target promotional expenditures.

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4. Customer Lifetime Value Analysis

Customer Lifetime Value (CLV) is a metric that determines how valuable a customer is to your business over an indefinite period rather than simply the first purchase. CLV helps in deciding a reasonable cost per acquisition (CPA).

You will predict the customer's lifetime value and classify customers based on their LTV in this project so that you can deliver this data to an organization's marketing team for campaign and CPA optimization. Use a transactional dataset from the UCI Machine Learning Repository. This dataset covers all genuine transactions for a registered e-commerce online retail store . Now, to generate predictions, apply the probabilistic models (Pareto-NBD, BG-NBD, MBG-NBD, and Gamma Gamma) to the case study in the industry.

For example, Yes Bank, globally recognized at the Gartner Excellence Awards for big data analytics use cases , uses innovative analytics and data mining techniques to map the customer life cycle and gain insights into customer behavior.

Get FREE Access to  Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization

The global retail analytics market will likely continue increasing at a CAGR of 17.7% to $18.33 billion in 2028. The booming e-commerce sector and its usage of analytics for better and more tailored experiences, quick access to product details, and remarkable services are driving the retail analytics market.

Take a look at these exciting retail analytics projects in marketing that cover all the various applications of retail analytics-

5. Market Basket Analysis

Market basket analysis is an innovative analytics technique that uses data mining and statistical tools to evaluate user purchase patterns to enhance sales. Businesses can use this analysis technique to improve the customer's overall expenditure by combining commonly purchased items at a discounted rate.

This project attempts to identify top products that contribute to a company's revenue and utilize market basket analysis to evaluate individual customers' purchasing behavior to predict which products customers are more likely to buy together. Refer to the marketing and retail analytics capstone project on Kaggle for the dataset.

For example, Amazon.com is the most well-known example of how Market Basket Analysis helps increase online sales. If you are an Amazon customer, you already know that the retailing platform provides you with the best product recommendations at the perfect time. These recommendations result from performing extensive research on past purchases by similar customers.

Source Code- Market Basket Analysis

6. Retail Price Estimation

One of the essential aspects for any product-based company is determining the pricing of its products. As a result, understanding what components impact the decision-making phase of product prices becomes critical for the marketing analytics team.

In this project, you will create an automated price suggestion system using the information from Mercari's dataset to recommend prices to retailers for various products. This project shows you how to use EDA tools and implement Neural Networks , Support Vector Machines, and Random Forest machine learning algorithms . If you are looking for beginner-level marketing analytics project ideas , this project is an excellent choice.

For example, Starbucks uses research and customer analysis to develop targeted price hikes that gather the maximum amount of money customers are willing to pay without turning them away. They use moderate price hikes that regular customers hardly realize to raise margins.

Source Code- Retail Price Estimation

7. Product Recommendation System

Understanding marketing analytics enables firms to avoid missing out on their chance to show targeted recommendations based on the user's preferences.

Start working on this project by performing EDA followed by product and customer trend analysis to gain insights. Then, using Cohort Analysis and RFM Modeling, divide the customers into specific clusters based on purchase histories. Apply uplift/persuasion modeling to determine which customers need attention and uncover Upselling and Cross Selling prospects. Finally, personalize recommendations based on implicit input (previous purchases) and explicit feedback (product reviews). A new user will see the most popular suggestions, and you may discover who are Big Spenders and Upsell them using the highest rated product recommendations by using Segmentation.

For example, Amazon, a leading online marketplace platform, combines big data with a client-centric strategy to promote customer satisfaction. During each customer's visit to the website, the retailer gathers insights. It then uses this data to recommend products to you rather than letting you waste time searching through their vast inventory.

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8. Customer Feedback Analysis

Customer feedback has become common practice for many businesses, and it gives them a user's viewpoint and advises them on what improvements they should make in their product to boost sales. Furthermore, potential clients will likely believe that the former is genuine if a business (or seller) makes its product reviews public.

This project focuses on analyzing product reviews on an eCommerce website. You will deal with textual data and use data pre-processing techniques such as gibberish detection, language detection, profanity detection, etc., for acquiring user sentiments and opinions for further analysis.

For example, Whirlpool Corporation is a leading home appliance manufacturer. Their innovation tactics heavily rely on customer feedback, and Whirlpool receives a million reviews worldwide from 40 different websites every month. The company identifies innovative approaches and ideas by converting this data into insights.

Source Code- Customer Feedback Analysis

9. Store Sales Prediction

In most businesses, the marketing department is in charge of keeping track of and staying aware of the factors influencing current and future business growth.

You will work on a dataset of 45 Walmart stores for this project. This project aims to forecast sales and revenue for various stores. Use numeric and categorical feature variables to discover redundancy in variables. This project will also teach you how to use the ARIMA time series model and other machine learning models.

For example, Walmart uses predictive analytics to forecast customer demand and also forecast\ sales depending on past data from different areas' retailers. Each store has several departments, and the retailer employs data mining to forecast sales in each department.

Source Code- Store Sales Prediction

The global predictive analytics in the banking market is forecast to grow at a CAGR of 20.80% to $5.43 billion by 2026. Predictive analytics has been assisting banking institutions in predicting their incoming and outgoing payments and client flow, fueling growth prospects.

Here are a few banking marketing analytics projects that will help you better understand the application of predictive analytics in the industry.

10. Customer Churn Prediction

When customer churn begins to increase at an alarming rate, numerous organizations review their existing marketing analytics strategies to determine the leading cause of the churn.

This project will teach you how to conduct univariate and bivariate analyses on the dataset. You will learn how to implement and analyze statistical approaches like SHAP (SHapley Additive exPlanations), RandomSearch, and GridSearch. This project is an easy-to-understand marketing analytics project example in the banking industry. If you are willing to explore sample marketing data analytics projects in banking, this is for you. 

For example, American Express is an excellent example of how to identify future churn and customize retention methods. The organization can forecast churn using cardholders’ buying patterns and develop marketing plans to turn them into long-term consumers.

Source Code- Customer Churn Prediction

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11. Loan Risk Prediction

One of the most common marketing projects in analytics is loan risk assessment. For this project idea, you will perform exploratory data analysis , analyze pairwise correlations among different variables, and design and test a prediction model.

Begin this project by looking at specific variables and how they relate to the loan's status. Although various approaches to creating a classification model exist, logistic regression is a popular tool for marketing applications with a binary dependent variable. Choose one predictor variable, and then figure out what other variables you need for this project. Estimate a model that links house ownership to whether or not a loan seems risky, and then compare its accuracy to a basic model. Use the assessment data to see how the model works with different predictions. Then, generalize the logistic regression tool and explore a different approach to evaluate the model's performance.

12. Marketing Campaign Optimization

You can leverage marketing data to achieve two different business objectives:

Prediction of marketing campaign results for each customer and elaboration of factors that impact campaign results

Identifying client segments using data from customers who sign up for a term deposit.

This marketing project works well with any banking marketing campaign data to improve marketing efforts and increase term deposit subscriptions. Use machine learning techniques (e.g., XGBoost) to forecast a marketing effort's outcome and identify elements that influence its performance.

13. Credit Card Fraud Detection 

This project aims to use buyer personas and transaction data to detect fraudulent transactions. 

Use multiple predictive models to predict credit card fraud in a transactional dataset. You can use the Python Pandas module to load the training and credit card datasets and manipulate the data. This project will show you how to generate statistical judgments for each variable in the dataset.

Source Code- Credit Card Fraud Detection

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14. CRM Optimization Project

Customer relationship management and sales systems may cause marketing data to distribute across multiple business systems. For this project, create a marketing data warehouse that will act as a primary data source for the marketing team. You can also use web analytics tools, marketing channels, and CRM solutions to integrate internal and external data.

Because of the data warehouse, all marketers will have access to the same standardized data, enabling them to perform tasks quickly and efficiently. Such marketing analytics projects allow businesses to analyze performance metrics such as ROI, lead attribution, and so on, resulting in more efficient customer relationship management.

15. Customer Segmentation Analysis

Banking institutions often classify their customers by socioeconomic factors such as geographic area, age, and purchase habits. Banks can assess a customer's current and lifetime value by analyzing these groups together. The insights help banks filter out customers who provide minimal value and focus on those likely to remain potential clients in the long run.

Use any customer segmentation dataset available on Kaggle to work on this project idea. Start by importing Python libraries such as Pandas and NumPy for handling dataframes, matplotlib and seaborn for data visualization , sklearn for machine learning algorithms, etc. Use clustering algorithms such as K-Means and Affinity Propagation to divide customers into groups according to specific attributes. These groups indicate how valuable time spent with each customer is likely to be compared to previous clients.

Build an Awesome Job Winning Project Portfolio with Solved End-to-End Big Data Projects

Digital marketing analytics is one of the most popular fields for big data analysis. Digital marketing analytics can help transform business goals into measurable achievements that support the company's ongoing growth. Working on a few digital marketing analytics projects will help you better understand how digital marketing tools can benefit businesses in various ways. Here are a few simple yet exciting digital marketing analytics projects you need to build a strong portfolio-

Keyword Research Analysis

Social media campaign analysis, website traffic analysis, lead conversion analysis.

There are many other digital marketing analytics projects for beginners and professionals, such as email marketing campaign analysis, SEO Data Analysis, paid search optimization, etc.

Furthermore, you can also explore some sports analytics marketing projects , such as soccer player statistics, NBA Shots Analysis, etc. 

Here are some more project ideas for marketing analytics capstone projects for the final year students who are interested in upskilling themselves-

Customer Satisfaction Optimization

Roi data analysis, tourism data analysis, targeted promotion optimization, restaurant sales data analysis.

Working on these project ideas for marketing analytics capstone projects will allow you to understand the use of marketing analytics tools and how they can impact the growth of a business in terms of revenue, customer satisfaction, etc.

Before discussing the types of marketing analytics algorithms , let us first understand why algorithms are essential for marketing. Algorithms hold great value for marketers as they help to determine-

how noticeable a brand's information is to the target audience,

how relevant the product recommendations are to potential customers who are about to check out, and

a variety of other factors that impact the success or failure of a marketing strategy, 

Now, let us look at some of the valuable and noteworthy marketing analytics algorithms -

Time Series Analysis- allows you to gain valuable insights, form an adequate base for campaign analysis, etc.

Logistic Regression- practical when you want to get the most out of your marketing budget.

K-Nearest Neighbour- helpful for creating profiles for the rest of the team to consider.

Naive Bayes- ideal for organizing customers into categories and forecasting behavior, such as which product a client is likely to buy.

Other marketing analytics algorithms include Linear regression, Decision trees, Google algorithms, etc.

ProjectPro gives you the perfect hands-on experience working on projects with its newly launched ‘Live Cloud Labs’ feature. You can practice the code solutions and learn at the same time! How cool is that? If you are looking for some machine learning projects for marketing analytics , check out the ProjectPro repository, which has over 200 industry-level solved projects and reusable codes.

About the Author

Daivi is a highly skilled Technical Content Analyst with over a year of experience at ProjectPro. She is passionate about exploring various technology domains and enjoys staying up-to-date with industry trends and developments. Daivi is known for her excellent research skills and ability to distill

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13 Top Marketing Analytics Projects and Datasets

According to Similarweb, over 6 billion devices are connected to the internet , approximately 2.5 million terabytes of data are generated daily, and about 1.5 MB of data is created every second for each person. With this pile of data, marketers and business owners need to figure out how to personalize a product, offer it to a customer, and make buying easier. This process is possible with the help of data science.

In a recent report, Forbes Insights and Turn found that companies who adopt data-driven marketing are more likely to have an advantage over the competition and increase profitability. They are six times more likely to be profitable year-over-year.

More and more companies realize that marketing analytics data scientists are now essential to FAANG and other major companies.

This article will go through the ten best and most straightforward marketing data science projects to help you practice your marketing analyst skills.

Keyword Research Analysis

The results of the first page of Google search get over 90% of the traffic . So it is becoming increasingly important for a business to appear at the top of popular search engines. Data scientists must constantly find new and innovative ways to improve search engine performance.

In large tech companies, a data scientist can use Google Dataset Search to analyze the most searched keywords to find the best possible ones to use when promoting their company’s products and services, thereby improving its search performance.

How To Start: Get started with this simple tutorial , which shows you how to generate keywords using Google Trends via Python.

Google Search Analysis

Google search analysis starts after you find the most used keywords. The aim is to analyze the search trends for that keyword on Google, which is very important for a business to reach more customers.

How To Start: You can get started using this tutorial by Aaman Kharwal , which guides you through analyzing trends via pytrends , an unofficial Google Trends API using Python.

Product Reviews Analysis

Online product reviews are one of the essential tools businesses have to boost their sales and credibility; according to Testimonial Engines, 72% of customers won’t take any buying actions until they’ve read reviews. A recent study by Harvard Business Review found that for every one-star increase a business gets on Yelp, they see a 5-9% increase in revenue.

With so many stakeholders and use cases, data scientists can empower marketing and sales teams by conducting product review analysis, which is critical to the growth of e-commerce businesses.

How To Start: Try your hand at building a product review analyzer on product review datasets for Amazon , GameStop , or even Mcdonald’s , and explore what insights the feedback can provide to businesses. You can use this tutorial by Gunnvant Saini to start the analysis using NLP or try this simple tutorial to perform it with Python.

Customer Segmentation Analysis

No two customers are the same, but their pain points, desires, and aspirations can be grouped in helpful ways to inform marketing strategies and drive conversions. Customer segmentation is the process of categorizing consumers based on the overlap of specific criteria in their attributes.

Data scientists can use specific machine learning algorithms to estimate the potential value of each ideal customer segment and the items most likely to appeal to them. Companies can then use this information to drive their content strategy, funnel optimization, and advanced lead targeting.

How To Start: Use any customer segmentation dataset available on Kaggle to work on this project idea. Start by importing Python libraries such as Pandas and NumPy for handling data frames, Matplotlib and seaborn for data visualization, Sklearn for machine learning algorithms, etc.

Product Recommendation System

When shopping online, a recommendation system steers you to the items you are most likely to buy. Users are often confused about alternatives and want help refining their search. Therefore, recommender systems are an essential part of our digital world. Invesp, the CRO experts , conducted a survey where 54% of retailers reported product recommendations as the critical driver of the average order value in customer purchase.

Robust predictive analytics systems are the foundation of recommender systems. We see recommender systems every time we go to Amazon or any other e-commerce site.

Whether using a collaborative or content-based filtering system, or a mix of both, a data scientist can help e-commerce businesses discover the big spenders and upsell them using the highest-rated product recommendations through segmentation, leading to an increase in revenue.

How To Start: You can use this Amazon product review dataset and the accompanying tutorial by Amar Shaw on Kaggle to build your collaborative filtering system based on customers’ purchase history and ratings.

Restaurant Sales Data Analysis

The global online food delivery market was valued at USD 189.70 billion in 2021 and is expected to expand at a compound annual growth rate (CAGR) of 10.8% from 2022 to 2028, with a slew of restaurants, aggregators, and independent cloud kitchens all vying for market share.

Using data science can help restaurant chains gain a competitive advantage. Analyzing sales data and performing EDA can help determine what items sell best, what customers prefer, where people are ordering certain things, what time of day, and whether analytics can group customers into different categories. Not only that, but data scientists can use information from food aggregators to investigate the market and learn more about foodie behaviors and preferences to serve them better.

How To Start: You can use this restaurant and consumer dataset from UCI and follow this tutorial for sales data analysis by Pulkit Khandelwal. You can also check out this detailed tutorial by Hargurjeet for an EDA of Zomato’s restaurant dataset.

Market Basket Analysis

Market Basket Analysis is an innovative analytical technique that uses unsupervised learning to understand buying patterns and uncover correlations between purchases. The use of these strategies allows for the prediction of future buying decisions. In other words, it will enable retailers to see the relationship between the items people buy. Additionally, market basket analysis can significantly improve the effectiveness of marketing messages. In addition to your marketing message style, whether a direct offer, email, social media, phone call, or newsletter, you can offer the following best product for a specific consumer.

How To Start: Khushee Kapoor provided this excellent tutorial on Kaggle on performing market basket analysis along with a sample dataset that is very beginner-friendly.

Social Media Campaign Analysis

Social media platforms have become part of everyday life, and the number of tracking platforms is growing. However, people face significant challenges when properly harnessing these complex and noisy data streams.

Data scientists can cut through the noise by using their skills to collect, track, analyze and visualize all aspects of social media analytics data to uncover deep insights that give businesses a better understanding of their social footprint and nature and how to monetize and improve their online presence.

How To Start: The internet is full of social datasets like this one for Instagram and different platforms on Kaggle. Follow this tutorial by Aman Kharwal for an Instagram reach data analysis project.

Credit Card Fraud Detection Analysis

Cybersecurity is a vital part of our lives in a world where everything is digitized and online shopping is the norm. Credit card firms face significant challenges in detecting fraudulent credit card transactions to prevent consumers from being charged for products they did not purchase. According to a recent study by Intuit, the amount of fraud by new credit card accounts saw a 48% increase from 2019. Data scientists can overcome such challenges by combining their skills with machine learning.

A data scientist can create a model that tracks the patterns of all transactions and finds abnormal patterns, deeming them fishy and canceling the transaction. The trick is to find a good dataset and a suitable machine learning algorithm to perform such a task.

How To Start: You can use a credit card fraud detection dataset from Kaggle and follow this tutorial by Abdou Rockikz to build a classification model.

Marketing Campaign Budget Optimization

As a data scientist, you will perform various marketing tasks, but your main goal is to ensure that every dollar of your company’s marketing budget is spent wisely and profitably.

Optimizing who you market specific products to and when your business can spend its money on marketing tactics won’t yield results. Data scientists analyze the performance and results of all marketing campaigns to determine how to optimize spending, cut budgets, what areas to increase spending, and which products to focus on in different markets.

How To Start: John Chen created this easy-to-follow case study and tutorial to take you through the process of market budget optimization and analysis using a free dataset from Kaggle .

Marketing Mix Analysis

Uncover the impact of different marketing channels on sales and customer engagement by jumping into this dataset . Explore the effectiveness of various marketing mix elements and discover insights that can help optimize marketing budget allocation for better ROI.

Bank Marketing Strategies

This is a dataset containing banking marketing strategies. Start by downloading this dataset . Analyze customer data to uncover insights on how different marketing campaigns affect customer responses. This dataset provides a rich ground for developing predictive models to enhance the effectiveness of marketing campaigns in the banking sector.

Lead Scoring

Converting leads into customers is challenging, and it is all about how you can tactfully guide them into your marketing funnel. Lead scoring uses analytics to identify potential buyers who go through this channel and decide to use your product or service. Reaching these prospects at the right time is what data scientists can do to help businesses.

Through extensive analysis of collected marketing data and insights from data libraries, data scientists can predict which offers or products are most attractive to customers and demographics at different times. The potential value of each lead can be assessed and then scored based on factors such as the behavior of similar customers, the choice of words they use when interacting with you, and the characteristics of the customer base to which they belong. This process will save companies from spending their marketing budgets on guesswork and trial and error.

How To Start: This super detailed tutorial by Moez Ali takes you through the steps of starting a lead scoring analysis. You can also find different lead scoring datasets on Kaggle to perform various tests.

More data science projects ideas and datasets

If you want to learn more about data science, projects are the perfect opportunity. You’ll find plenty of inspiration in our guides to data science projects:

• Top 10 Regression Datasets and Projects
• Top 10 Python Data Science Projects with Source Code
• Top 30 Data Science Projects with Source Code
• Top 12 Classification Machine Learning Projects and Datasets
• 21 Data Analytics Project Ideas and Datasets
• 10 Sentiment Analysis Project Ideas and Datasets
• 31 Free Datasets for Your Next Project

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100 best marketing research topics for all.

Because of the many aspects of marketing, choosing marketing topics to write about may put one in a dicey situation. This article provides some hot topics in marketing that will help you select an area of focus and select relevant topics from that niche. From marketing research topics for college students to social issues in marketing, we have got you covered! So sit down and relax as we take you through the list of marketing research topics our professional writers prepared just for you!

Marketing Thesis Topics

Are you in need of well-thought-out marketing thesis topics and marketing dissertation topics? Then you’re in the right place! This list of marketing paper topics presented will give you a distinct thesis/dissertation.

• Analysis and determination of consumer buying behavior for Coca-Cola
• A study on famous well-marketed brands that got away with selling substandard quality products
• A study showing the impact of advertising on consumer behavior
• Brand advertising and political campaigns: a possible interwoven impact?
• A review of the outcomes of advertising in a recession
• Exhaustive research on how brands exploit impulsive buying
• A study of how celebrity endorsements on ROI affect CPG brands
• A survey of the impact of augmented reality on marketing experiences
• Critical research on how AI will help make better marketing decisions
• A study of the perspective and reception of Americans to targeted ads based on their browser history

Current Marketing Issues

There are numerous marketing issues around the world today. These global marketing issues threaten the survival of many businesses and the economy at large. Here is a list of current marketing issues!

• A decline in organic reach on social media platforms
• Difficulty in building a well-recognized brand name
• Getting readers to see content
• Understanding marketing results
• Marketing budgets included by BREXIT
• Optimizing business for voice search
• Bridging the technology gap
• Ensuring compliance with GDPR
• Overdependence of potential customers on amazon
• The effect of COVID-19 on the global economy

Marketing Research Topics

Getting marketing topics for research has been made considerably more comfortable with this list of marketing research paper topics. Ready to explore the marketing research topics we have, let’s delve right in!

• Exploring how organizations use corporate social responsibility (CSR) to reinforce brand equity
• The effect of social media on buying choices
• Online purchasing: a study of the product characteristics buyers look for
• An exploration of the differences in marketing strategies across cultures
• Manipulation tactics: how brands can get more customers
• A study of how customer loyalty is affected by brand image
• Analyzing how TV advertising affects the top of mind awareness
• Do people appreciate being click baited into sponsored posts?
• A study on how to make customers purchase goods and services in the luxury category

Digital Marketing Blog Topics

Digital marketing remains a very important aspect of marketing in the world today. Here are some very juicy digital marketing topics you can write a great blog on!

• 10 insightful differences between paid search and organic search
• Tips for promoting content on Pinterest
• SEO tactics to avoid like the plague
• How to increase your followers on social media
• Best tips to help you grow your paid social ROAS
• Why should you follow your competitors on social media?
• Dos and don’ts of social media marketing
• How to create content your audience will be eager to share

Marketing Essay Topics

• What is the most effective form of marketing?
• Internet marketing trends to expect in the future
• What important brand attributes lead to an increase in customer loyalty?
• A look into marketing approaches that broke through strong market monopoly
• The impact of social media on consumer buying behavior
• Comparison of advertising versus building brand equity
• Rebuilding trust in influencer marketing
• How to generate leads effectively

Content Marketing Topics

• 10 biggest graphic design mistakes companies make in their marketing pieces
• How to create captivating e-newsletters that people will pay attention to
• Repurposing marketing content for small businesses
• Working more micro-content into marketing efforts
• Multi-step versus one-step content marketing campaigns
• The five Cs when creating content marketing copy
• Creating compelling content marketing campaigns in 10 steps
• Content marketing: how to generate more leads and close sales

Strategic Marketing Problems

There are many marketing problems in companies and businesses that threaten to cripple the advancement of the industry. Here is a list of some marketing problems you may be willing to proffer solutions to.

• Inability to explain products or services delivered
• Not clearly defining a company’s market segment
• Lack of innovating commercial department
• Lack of business visibility
• Missing links between sales and marketing departments
• Lack of marketing plan
• Lack of personal branding, brand image, and professional reputation
• Thinking the company or business can survive without marketing

Marketing Blog Topics

• Facebook advertising: pros and cons
• 10 benefits of inbound marketing
• The most frustrating problems faced in inbound marketing
• How to generate subscribers for your blog faster than ever!
• 10 benefits of content marketing lead magnets
• Five video content marketing myths you must discard
• 30 social media campaign ideas from big brands

Controversial Marketing Topics

• Does google give preferential treatment to big brands?
• Does social media affect SEO ranking?
• Are grey SEO techniques safe?
• Are YouTube videos more engaging than TV ads?
• Are building e-mail lists still one of the best ways to sell?
• Will immersion marketing through VR technology to be accepted?

Sport Marketing Research Topics

Sports marketing continues to remain a significant source of revenue. Hence, research in this area will continue to stay relevant. Here are some sport marketing topics you could consider working on.

• How the extraordinary content offered by intelligent chatbots can help sports teams strengthen fan loyalty
• Emerging opportunities in sports marketing and how to capitalize on them
• How to effectively capitalize on the wearables market
• Should more women and children get into sports?
• Should seniors be allowed to participate in some games?

Marketing Presentation Topics

• Mastering in-house SEO
• The path to gaining and building customers trust
• Brand awareness versus ROI
• Effectively personalizing customer communications
• The best SEO strategies that increase site traffic

International Marketing Topics

Marketing connects the global world, and this is why it is essential to marketing development. Here are some international marketing topics to consider!

• The effect of globalization on consumer behavior
• How do international brands compare to local brands?
• Do international brands always have advantages over a local brand?
• Creating brand awareness by utilizing global event marketing
• How to market products on an international level

Marketing Plan Topics

• The importance of a marketing plan to the success of a business or product launch
• Building a tactical marketing plan
• How is a marketing strategy different from a marketing plan?
• Indispensable parts in writing a marketing plan

Ethical Issues In Marketing

• Targeted Ads based on browser history
• Immersion marketing through virtual reality
• The exploitation of impulsive buying
• Click baiting into sponsored posts

Affiliate Marketing Topics

• How to find profitable niches in affiliate marketing
• How to get readers interested in what you market
• How to build a personal website: the ultimate guide

Congratulations! We hope you have been able to guide you in choosing your desired topic in marketing successfully. Alo, you can check out our business topics. We wish you the best in your research!

Marketing Analytics

Partially Online

The Master of Science in Marketing Analytics provides you with both broad and deep technical skills in Marketing Analytics as marketing positions continue to evolve into a technical role within an organization.

The Marketing Analytics Master's degree emphasizes the quantitative and analytical side of marketing managerial decision-making and provides breadth of coverage to include advanced data management and other business analytics foundations. The degree thoroughly trains you in use of business analytics to power data-driven, customer-centric decisions. This program is also offered as a 4+1 accelerated program.

Through our curriculum, you will acquire techniques that improve marketing decisions. This program is designed to provide a deep dive into advanced marketing analytics topics (advanced tools and analyses, brand management, digital marketing, sales forecasting) as well as a wide coverage of business analytics space: advanced business data management, programming for data science, latest platforms, data visualization, etc. with some room for customization to fit your individual needs. The curriculum covers a wide range of technologies and tools, including R, Python, Tableau, IBM SPSS Statistics, ForecastX, SQL, Machine Learning and AI using AWS and Google platforms, as well as digital marketing tools such as Google Analytics and SEO and SEM programs.

This program is a STEM designated degree program, which offers additional benefits for students, including potential grant funded opportunities and, for international students, extended OPT study options.

We are currently accepting applications for Fall 2024 term . For detailed information about the curriculum please refer to the graduate catalog and a sample plan of study .

• Graduate Student Admissions
• Course Requirements (Catalog)
• Meet Our Faculty
• Our Community

Point of Pride

The Marketing Analytics program is the second of its kind in Illinois and one of only 16 in the nation.

Graduate Advisor

Dr. Chiharu Ishida-Lambert (309) 438-3261 State Farm Hall of Business 323

Schedule a Visit

Discover what life as an Illinois State graduate student is like.

How to Apply

University admission requirements.

A student applying to this program must:

• have earned a four-year bachelor's degree or its equivalent from a college or university that is accredited by the appropriate regional accrediting association, or do so within one academic year
• present unofficial transcripts from each college or university other than Illinois State at which graduate, undergraduate, or non-degree credit was earned. The unofficial transcript should be easily readable and clearly indicate degree(s) awarded, courses and course grades for each term. If accepted, official transcripts can be emailed from the university to [email protected] or mailed in a sealed envelope to: Illinois State University, Graduate School , 209 Hovey Hall, Campus Box 4040, Normal, IL 61790-4040.
• have had undergraduate training in business and/or have been employed at least one year in a business enterprise.

International students can learn more about specific application requirements by visiting the Office of Admissions.

Additional Program Admission Requirements

To be considered for this program, you must meet the following criteria.

You must have a minimum 3.0 GPA for the last 60 hours of undergraduate work (approximately the junior and senior years) or have a minimum 3.0 GPA for all graduate-level coursework, if applicable.

Please provide an updated resume to the application.

Letters of Recommendation

Submit the names and email addresses of two references for letters of recommendation within the online application.

Submit an essay that includes the following information:

• Your professional goals and how the marketing analytics degree will help you achieve them
• An explanation of what you gained professionally and/or personally from the experiences detailed in your resume (1 -2 paragraphs)

GMAT (or GRE scores) are only required if your last 60 hour undergraduate GPA or graduate GPA (minimum of 9 hours) is less than 3.0.

English Proficiency (International Students)

International students must meet the minimum English proficiency scores set by the University: TOEFL score of at least 79, IELTS score of 6.5 band or Duolingo score of 105.

Application Deadlines

• Fall Semester Term — May 1
• Spring Semester Term — No spring admission
• Summer Semester Term — No summer admission

Graduate Assistantships

Graduate assistantships are not offered by the Department of Marketing for this master’s degree program.

The University provides graduate assistantships as a means of financial support. They are intended as a way to facilitate a student's progress to degree while providing important professional development.

Eligibility

To be eligible for an assistantship a student must, generally,

• be admitted unconditionally as a degree-seeking student into a graduate academic program, or have a minimum of 120 undergraduate hours if in an integrated degree program
• be in good-standing
• be enrolled full-time (typically at least 9 credit hours during the fall or spring semesters, or at least 6 hours during the summer session).

Graduate assistants receive

• monthly wages paid in the form of either a stipend or an hourly wage
• a waiver for 100% of tuition during a semester of appointment
• a waiver for up to 12 credit hours of tuition for the summer term immediately following a fall or spring appointment

Costs & Funding

See  Student Accounts  for information on tuition and fees.  Funding  for graduate students is available from several different sources. Students who have been admitted from contiguous states including Iowa, Indiana, Kentucky, Michigan, Missouri, and Wisconsin will receive in-state tuition.

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Sustainable investing has experienced significant growth in recent years, but it has also faced increasing scrutiny, as more investors and companies use sustainability and climate data and tools to support their investment decision making. Sustainable investing at MSCI began in 1988. 1 Our first ESG index was launched in 1990. 2 We’ve been rating companies based on industry material environmental, social and governance risks since 1999. 3

We’re proud to work with over 3,000 clients worldwide including leading pension funds, asset managers, consultants, advisers, banks and insurers. If you’d like to learn more about integrating sustainability and climate considerations into your investment processes and how MSCI can help, please contact us .

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We understand that when it comes to sustainable investing one size does not fit all. Our experience with sustainability data, climate data and frameworks as well as our role developing solutions for many of the world’s investors, has helped us identify common use cases by investor type.

Contact us to learn more about how we can help you integrate sustainability and climate insights.

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We aim to be your one-stop-shop for sustainability and climate solutions. Our award-winning, 5 gold-standard 6 ESG ratings and climate data and research are developed in-house and are integrated across our index, analytics and real asset solutions.

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MSCI ESG Ratings aim to measure a company’s management of financially relevant ESG risks and opportunities.

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MSCI ESG Indexes are designed to represent the performance of the most common ESG investment approaches by including, re-weighting or excluding companies by leveraging ESG criteria.

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MSCI offers climate indexes for both Equity & Fixed Income that aim to meet the variety of needs of institutional investors who wish to address climate change.

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ESG Investing footnotes

MSCI ESG Research LLC. is a Registered Investment Adviser under the Investment Adviser Act of 1940. The most recent SEC Form ADV filing, including Form ADV Part 2A, is available on the U.S. SEC’s website at www.adviserinfo.sec.gov  (opens in a new tab) .

MIFID2/MIFIR notice: MSCI ESG Research LLC does not distribute or act as an intermediary for financial instruments or structured deposits, nor does it deal on its own account, provide execution services for others or manage client accounts. No MSCI ESG Research product or service supports, promotes or is intended to support or promote any such activity. MSCI ESG Research is an independent provider of ESG data, reports and ratings based on published methodologies and available to clients on a subscription basis. 

ESG ADV 2A (PDF, 355 KB)  (opens in a new tab) ESG ADV 2B (brochure supplement) (PDF, 232 KB)  (opens in a new tab)

1 Through our legacy companies KLD, Innovest, IRRC, and GMI Ratings. ESG and climate data, research and ratings are produced by MSCI ESG Research LLC and are used as an input to the MSCI ESG indexes, calculated by MSCI, Inc.

2 MSCI KLD 400 Index https://www.msci.com/msci-kld-400-social-index

3 Origins of MSCI ESG Ratings established in 1999. Produced time series data since 2007.

4 MSCI ESG Research LLC clients

5 The Extel & SRI Connect Independent Research in Responsible Investment (IRRI) Survey – 2015, 2016, 2017 & 2018/19

6 Deep Data Delivery Standard http://www.deepdata.ai/

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