Marketing Dissertation Topics: 113 Narrow, Researchable Titles With Methods, Theories and UK Rules

Good marketing dissertation topics name a practice, a setting, a group of people and something you can measure. The titles below are written to that standard, so each one already reads like a proposal title, and the notes beneath them show the theory, method and data route that make it workable at undergraduate, Master’s or PhD level.

Questions to Settle Before You Choose a Marketing Dissertation Topic

• Can I measure what consumers actually do, or only what they say they intend to do?
• Which theory, such as the Theory of Planned Behaviour, prospect theory or SERVQUAL, would my marker expect to see behind this question?
• Do I have real access to respondents, a company or public data such as ASA rulings, ONS releases or annual reports within my timeframe?
• Does my topic depend on a UK rule that is still changing, such as subscription law or cookie guidance?
• Will my university’s ethics process treat an experiment with deception, or scraped social media posts, as higher risk?
• Is my sample a group I can genuinely reach, or a label like “Gen Z” that I cannot define?

Position correct as of October 2026.

This list covers the core of marketing: consumer behaviour, branding, pricing, business-to-business selling, services, regulation and ethics, measurement, sustainability, non-profit and international work. Channel-heavy projects on search, social platforms and content sit elsewhere, so start with the digital marketing dissertation topics list if your question is mainly about a platform.

Several sector and level lists go deeper than this one. Sport has its own sports marketing dissertation topics, travel and destinations have tourism marketing research topics, and style-led brands are covered in the fashion marketing dissertation topics. Planning and strategy questions fit the marketing management dissertation topics list better.

How to Narrow a Broad Marketing Idea Into a Dissertation Topic

A broad idea like pricing becomes a dissertation topic when you add four limits: a specific practice, a setting, a group of people and an outcome you can measure. For example, “pricing” becomes “perceived fairness of pack size reductions among UK grocery shoppers”. Each limit removes a decision you would otherwise have to make later.

Check the result against a theory you can name, a data source you can reach and a method you can run. A longer checklist is in the guide to choosing a topic linked at the end of this page, and the next section helps you match a method to your question.

Consumer Behaviour Dissertation Topics: Decisions, Intentions and Choice

Consumer behaviour projects fail most often on one point: they measure attitudes and then claim to explain behaviour. The topics here either follow behaviour over time or test a choice directly. For designs that lean on psychology constructs, the consumer psychology research topics list is a useful companion.

1. Theory of Planned Behaviour and the Intention-Behaviour Gap in Buying Refurbished Smartphones: A Two-Wave Survey of UK University Students Ajzen’s Theory of Planned Behaviour predicts intention, yet many dissertations stop there. Measure attitude, subjective norm and perceived control in wave one, then ask the same people about actual purchases four to six weeks later. Expect to lose some respondents between waves, so recruit more than you need. Suits undergraduate or Master’s level, analysed with regression in SPSS or R.
2. Asymmetric Dominance in Online Mobile Tariff Comparison: Does a Decoy Plan Shift Choice? An Experiment Built on Huber, Payne and Puto’s Design Show two groups the same two plans, then add a clearly inferior third plan for one group only. A panel such as Prolific can supply participants, and a chi-square test compares choice shares. The usual pitfall is a decoy that is not truly dominated, so pre-test the plans before the main study. Realistic for a Master’s project.
3. Choice Overload in Subscription Box Customisation: Does Offering Many Product Options Lower Satisfaction? A Replication Using Iyengar and Lepper’s Logic Early work suggested that more options reduce satisfaction, but later meta-analytic evidence found the effect inconsistent, which makes careful replication worthwhile. Vary the number of options on a simulated customisation page and measure satisfaction and choice difficulty. Treat a null result as a real finding and discuss moderators such as how clear people’s preferences already are.
4. Moral Licensing After Sustainable Purchases: Do Shoppers Who Buy One Eco-Labelled Item Spend More on Non-Eco Items in the Same Shop? A Receipt-Diary Study Moral licensing is the idea that a virtuous act can free someone to behave less virtuously next. Ask a small panel to log basket contents for several weeks, then compare baskets before and after eco-labelled purchases. Diary studies are rich but demanding, so keep the log short. Store receipt data without personal identifiers.
5. Conspicuous and Inconspicuous Luxury Consumption Among UK Postgraduates: A Qualitative Study Drawing on Veblen and Bourdieu Veblen explains status display through visible spending, while Bourdieu points to taste as a marker of class, so the two lenses can give different readings of the same interview. Semi-structured interviews with thematic analysis in NVivo fit well. A small purposive sample is normal for interviews, but justify it by data saturation rather than a fixed number.
6. Consumer Ethnocentrism and Preference for UK-Made Food: Applying the CETSCALE Among Households Under Budget Pressure Shimp and Sharma’s CETSCALE measures the belief that buying domestic products is the right thing to do. Test whether tighter household budgets weaken that preference by adding price trade-off questions to an online survey. A plain, clear design that suits an undergraduate project.
7. Retailer-Suggested Substitutions in Online Grocery Orders: How Accepting a Substitute Shapes Satisfaction and Reorder Intention Survey regular online grocery shoppers about how often they accept substitutes and how they felt about the delivery afterwards, then run a simple regression. Keep the scope to one format, such as supermarket home delivery, so your questions stay clear. A good undergraduate topic because respondents are easy to find and the setting is familiar.
8. Fear of Missing Out in Limited Trainer Releases: A Netnography of Resale and Collector Forums Netnography, developed by Kozinets, applies ethnographic thinking to online communities. Collect posts over a defined period, code recurring motives for urgency and compare them with how collectors talk about regret. Check your ethics route for public online posts, since many universities expect quotes to be anonymised. The pitfall is treating the loudest posters as typical.
9. Older Adults and Mobile Payments at the Till: UTAUT Extended With Perceived Risk The Unified Theory of Acceptance and Use of Technology gives you a ready model, and adding perceived risk makes it specific to payments. Recruit through community groups as well as online panels, because panels miss many non-users. A paper survey may be needed. If your model has several latent constructs, PLS-SEM in SmartPLS is a common choice.
10. Review Order Effects on Perceived Credibility: Do Negative-First Review Displays Change Purchase Intention on a Product Page? A Between-Subjects Experiment Build two mock product pages that differ only in review order, then measure credibility and purchase intention after a manipulation check. Keep the review content identical across versions so order is the only change. An online experiment like this fits within a single semester and links naturally to wider ecommerce dissertation topics.

Brand Management Dissertation Topics: Equity, Identity and Rebranding

Brand projects need a model you can operationalise, not just a brand you admire. Each title below pairs a recognised framework with a setting where data is reachable. Reputation and crisis angles overlap with public relations dissertation topics, so pick the lens that matches your research question.

11. Brand Resonance in Keller’s Customer-Based Brand Equity Pyramid: Testing the Salience-to-Resonance Path for Regional Craft Breweries Keller’s pyramid moves from salience through performance, imagery, judgements and feelings to resonance. A survey of drinkers in one region can test whether each level predicts the next. Regional scope keeps respondents reachable and the brand set manageable. PLS-SEM or a sequence of regressions both work, depending on how many items you use.
12. Brand Love Versus Brand Satisfaction as Predictors of Repurchase in Sportswear: A Comparison Using the Carroll and Ahuvia Brand Love Scale Satisfaction is common in the literature, but brand love is argued to predict loyalty more strongly. Survey buyers in one product category and compare how well each construct predicts repurchase intention. Check that the scale wording is suitable for your sample, and report reliability for both measures.
13. Heritage Claims on Packaging and Perceived Authenticity: An Experiment With Redesigned Biscuit Labels Create two label versions, one with a heritage claim and one without, and measure perceived authenticity and trust. Use made-up brand names so existing opinions do not distort results. A plain, tightly controlled design that suits an undergraduate dissertation.
14. Social Reaction to Visual Identity Changes at UK High Street Brands: A Content Analysis of Posts Around Three Rebrands Collect public posts in a window before and after each rebrand, then build a coding frame for tone and reason. Report intercoder agreement, for example with Cohen’s kappa, to show the coding is reliable. Check platform terms before collecting data, and be cautious about quoting identifiable users.
15. Double Jeopardy and Brand Loyalty in UK Grocery: Does the Ehrenberg-Bass Pattern Hold for Challenger Brands? A Secondary Data Test The double jeopardy pattern says smaller brands have fewer buyers and slightly lower loyalty. Testing it needs purchase data, and commercial panels such as Kantar Worldpanel are usually behind a subscription, so check what your library provides. If access fails, published panel tables can support a smaller test.
16. Employer Brand Perception Among Final-Year Students: Does Employer Brand Equity Predict Application Intention for Graduate Schemes? Survey final-year students about how they see several named employers, then relate those perceptions to their intention to apply. Pick employers with similar graduate programmes so comparisons are fair. A straightforward undergraduate topic with clear respondents and a simple regression.
17. Brand Extension Fit: How Perceived Fit Shapes Acceptance of Plant-Based Ranges From Traditional Meat Brands Aaker and Keller’s work on extension evaluation suggests perceived fit between parent brand and new product drives acceptance. Test fit as a predictor of purchase intention using vignettes. The sensitivity of food choices means you should avoid leading wording and test the vignettes on a small group first.
18. Brand Activism and Boycott Intentions: A Scenario Experiment on Political Stance Statements by Food Brands Present fictional brands making different public stances and measure boycott and support intentions. Fictional brands protect you from real-world loyalties. Because political content can upset participants, include a clear information sheet and a withdrawal option.
19. Own-Label Premium Ranges: Can Supermarket Brands Build Associations Independent of the Retailer? A Mixed-Methods Study Start with a short survey of shoppers’ associations with premium own-label ranges, then use interviews to explain unexpected patterns. Mixed methods suit this topic because associations are hard to capture with scales alone. Keep the product category narrow, such as ready meals.
20. Brand Personality Congruence and Self-Concept in Fitness Apps: Applying Aaker’s Brand Personality Dimensions Aaker’s dimensions have been criticised for how well they travel across cultures, which is worth discussing in your limitations. Measure how closely users’ self-descriptions match the personality they attach to an app, and relate that match to continued use. Fitness apps give you an accessible, active user base.

Pricing and Promotion Research Topics: Fairness, Reference Prices and Value

Pricing questions are well suited to experiments, because a price or label can be changed while everything else stays the same. Many connect to decision science, so the behavioural economics dissertation topics list is worth a look if you want a more economic framing.

21. Shrinkflation and Perceived Price Fairness: Does a Pack Size Reduction Damage Trust More Than an Equivalent Price Rise? A Between-Subjects Vignette Study The CMA’s review of unit pricing in groceries, published in July 2023, found that problems with unit pricing may affect shoppers’ ability to compare products. Build on that with vignettes showing the same cost increase delivered as a smaller pack or a higher price. Measure fairness, trust and purchase intention, and compare using analysis of variance.
22. Unit Price Display Under the Price Marking Order 2004: A Structured Shelf-Label Audit Across Supermarket Formats The CMA found non-compliance with the Price Marking Order, particularly among some variety stores. A photographic audit of shelf labels across formats could add a student-collected comparison. Get permission before photographing in stores, define a scoring sheet in advance, and avoid naming individual staff. Best suited to Master’s level.
23. Dual Entitlement and Dynamic Ticket Pricing: When Do Fans Accept Demand-Based Price Rises? A Scenario Survey Using Kahneman, Knetsch and Thaler’s Fairness Principles Dual entitlement says customers see a firm’s prices as fair when they protect a reference price and unfair when the firm profits from demand alone. Vary the size and explanation of the price rise across scenarios. Pre-test the scenarios so participants read the price change as intended.
24. Van Westendorp Price Sensitivity Meter for a Student Meal-Prep Start-Up: Estimating Acceptable Price Ranges in One University City The Van Westendorp method asks four questions about prices that feel too cheap, a bargain, getting expensive and too expensive, then plots the answers. It is a good introduction to pricing research for undergraduates. Be honest about the limits of a small student sample and avoid generalising beyond your city.
25. Reference Prices and the Credibility of “Was” Prices in Seasonal Sales: An Online Experiment Show participants products with different “was” prices and measure whether they believe the discount is real and whether it changes purchase intention. Include an attention check so careless answers can be removed. A clean experimental design that suits a Master’s dissertation.
26. Pay-What-You-Want Pricing in Independent Cafes: Revenue and Customer Perception in a Natural Field Study This design needs a cooperating business, so agree access and data sharing before you commit. Compare revenue and satisfaction across pricing periods and interview a few customers about how they chose an amount. Business agreement is the main risk, so keep a backup survey design ready.
27. Member-Only Loyalty Prices and Perceived Fairness Among Non-Members: A Qualitative Study of Supermarket Shoppers Semi-structured interviews can explore how shoppers without a loyalty card feel about prices that only members get. Thematic analysis can then link fairness judgements to ideas about reciprocity and inclusion. Recruit both members and non-members to avoid a one-sided picture.
28. Pain of Paying and Buy Now Pay Later at Checkout: Does Splitting a Payment Raise Intended Spend? A Survey Experiment Prelec and Loewenstein’s work on the pain of paying suggests that separating the payment from the purchase may reduce that pain. Show participants the same basket with and without an instalment option and compare intended spend. Report that you measured intention, not real spending.
29. Promotional Frequency and Reference Price Erosion for Chocolate Brands: An Experiment on Exposure Schedules Expose participants to different frequencies of promotions for a fictional brand, then ask what they think a fair regular price is. This avoids needing store data. Choose the number of exposures carefully and report a manipulation check.
30. Willingness to Pay for Local Provenance in Farm Shop Produce: A Contingent Valuation Survey Contingent valuation asks people what they would pay for a described benefit. Use a realistic payment question, avoid leading wording and discuss hypothetical bias, since people often overstate what they would pay. A clear undergraduate design with a local sample.

B2B Marketing Dissertation Topics: Buying Centres, Relationships and Sales Alignment

Business-to-business marketing is under-served in most free lists, yet it offers clear theory and often easier access to expert respondents through professional networks. Buyers’ side questions overlap with procurement dissertation topics, which can help with sources.

31. Buying Centre Roles in Software Purchases by UK Small Firms: Applying Webster and Wind’s Model Through Interviews Webster and Wind’s buying centre model describes users, influencers, buyers, deciders and gatekeepers. Interview small-firm owners about who shaped a recent software decision and map the roles. Small firms often collapse several roles into one person, which is itself a finding worth analysing.
32. Commitment and Trust in Distributor Relationships: A Test of Morgan and Hunt’s Theory in Building Materials Supply Morgan and Hunt argued that commitment and trust drive relationship outcomes. A survey of builders’ merchants or contractors can test the path to cooperation and loyalty. Check that scale items fit a trade setting and report reliability for each construct.
33. Webinar Programmes and Lead Quality in a Professional Services Firm: A Single Case Study With Internal Data This needs a cooperating firm, so agree access before you commit. Compare leads from webinars with leads from other sources by progression through the sales pipeline. Anonymise client details and be clear about the limits of a single case.
34. Account-Based Marketing Versus Broad Campaigns in Industrial Equipment: Interviews With Marketing and Sales Leaders on Measurement Interviews can explore how leaders decide what counts as success when only a small number of target accounts matter. Compare their answers with common measurement approaches. Recruiting through professional groups is usually more productive than cold emails.
35. Shared Definitions of a Qualified Lead in B2B Technology Firms: A Qualitative Study of Marketing and Sales Alignment Interview marketing and sales staff in the same firms to see whether they define a good lead in the same way. Compare definitions within each firm, not just across firms, so you can see where misalignment arises. Plan for a small, well-chosen sample.
36. Thought Leadership Content and Perceived Expertise of Consultants: A Survey Experiment With Procurement Professionals Show buyers two versions of a consultant’s article, one more thought-led and one more promotional, and measure perceived expertise and willingness to shortlist. Recruitment of professionals is the main challenge, so use professional networks. Treat results from a small sample as exploratory.
37. Servitisation in Manufacturing: How Moving From Selling Products to Selling Outcomes Changes Value Propositions Servitisation describes manufacturers adding services around their products. A multiple case study can compare how firms describe their value propositions before and after the shift. Use public documents as well as interviews so claims can be checked.
38. Trade Show Participation and Relationship Initiation for Small Exporters: A Multiple Case Study Choose a small number of exporters that attend the same event and follow how they turn contacts into relationships. Interviews before and after the event show what changed. Keep the study focused on contact quality, not total sales.
39. Customer Reference Calls in Enterprise Sales: Do Peer References Reduce Perceived Purchase Risk? An Interview Study Buyers often ask for reference customers. Interview buyers and sellers about when references matter and when they are ignored. The main challenge is access, so use a snowball approach and keep interview guides short.

Services Marketing Dissertation Topics: Experience, Recovery and Service Quality

Services are intangible and produced while customers are present, which changes how quality is judged. These titles use classic services frameworks in settings you can observe or survey. Shop-floor technology questions also relate to retail management dissertation topics.

40. SERVQUAL Gap Analysis in University Student Support Services: Expectations Versus Perceptions for Home and International Students SERVQUAL, from Parasuraman, Zeithaml and Berry, measures the gap between what customers expect and what they perceive across five dimensions. A survey of students in one university is accessible, but get the correct permissions. Compare home and international students and report where gaps differ.
41. Servicescape Cues and Dwell Time in Independent Coffee Shops: An Observational Study Using Bitner’s Model Bitner’s servicescape model links physical surroundings to customer responses. Observe seating, lighting and layout in several shops and compare them with how long customers stay. Ask the owners for permission and keep notes anonymous.
42. Service Recovery and the Recovery Paradox in Airline Delay Compensation: A Scenario Experiment The recovery paradox suggests a well-handled failure can leave customers more satisfied than no failure at all. Vary the speed and generosity of compensation in scenarios and compare satisfaction and loyalty intention. Use fictional airlines to avoid brand bias.
43. Value Co-Creation in Fitness Studios: A Service-Dominant Logic Analysis of Member Participation Vargo and Lusch’s service-dominant logic treats customers as co-creators of value. Interview members and instructors about how participation shapes results. A case study within one studio keeps the project manageable.
44. Emotional Labour and Perceived Authenticity in Hotel Front-Desk Encounters: A Mixed-Methods Study Combine a short customer survey on perceived authenticity with interviews of staff about how they manage their emotions. Compare views across the two groups. Be careful with staff confidentiality when reporting results.
45. Queue Information and Dissatisfaction in Hospital Outpatient Pharmacies: A Service Evaluation Test whether giving waiting information reduces dissatisfaction. NHS settings usually involve extra approval steps, so raise the idea with your supervisor early and check whether the project counts as a service evaluation or research.
46. Self-Service Checkout Failures and Customer Forgiveness: An Attribution Theory Study Attribution theory asks who customers blame when something goes wrong. Vary scenarios so the fault lies with the machine, the shop or the customer, then measure forgiveness and reuse. A clear experimental design that works at undergraduate level.
47. Customer Effort Score Versus Net Promoter Score as Predictors of Retention in Broadband: A Critical Test Using Survey Data Net Promoter Score has attracted published criticism about how well it predicts growth. Survey broadband customers on both measures and on their intention to stay, then compare predictive power. Ask about intention carefully, since you are unlikely to get actual churn data.
48. Accessibility of Online Booking Journeys for Disabled Customers: A Heuristic Evaluation Against WCAG and Follow-Up Interviews Evaluate booking sites against the Web Content Accessibility Guidelines, then interview disabled customers about their experience. Be sensitive in recruitment and offer flexible interview formats. This links marketing to inclusion and has clear practical value.
49. Frontline Employee Empowerment and Service Recovery Outcomes in Independent Restaurants Interview owners and staff about how much freedom staff have to fix problems, then relate that to customer reviews. A small, well-defined case set keeps the project manageable. A good fit for undergraduate level.

Marketing Regulation and Ethics Dissertation Topics: UK Consumer Law, ASA Rules and Data

Marketing regulation is a source of strong, current topics, but it is also where students are most likely to cite out-of-date rules. Each title names the rule it rests on, and where the position is still moving the headline frames the lasting question. Broader ethical lenses are on the business ethics dissertation topics page. Rules in this area change often, so check gov.uk, the ASA, the CMA and the ICO for the current status before you finalise your proposal.

50. Fake Review Rules After 6 April 2025: How Do Online Retailers Describe Their Review Verification Steps Under the DMCC Act 2024? A Content Analysis of Review Policies The consumer provisions of the Digital Markets, Competition and Consumers Act 2024 took effect on 6 April 2025 and cover creating or facilitating fake reviews, publishing reviews without reasonable steps to check they are genuine, and concealing incentivised reviews. Content-analyse a defined sample of retailer review policies against those points. Keep the coding frame public and consistent.
51. Drip Pricing and Total Price Display: Do Ticketing and Travel Sites Show Mandatory Fees Earlier Since the DMCC Act? A Before-and-After Page Audit Using Archived Pages Material information, including the total price where it can be calculated, must be shown from the start of the purchase journey, and drip pricing is prohibited. Archived pages can show how fee displays changed, but archives are patchy, so state how you chose pages. Master’s level.
52. What Should an Auto-Renewal Reminder Say to Be Noticed? A Message-Testing Experiment on Subscription Notices The government’s subscription contracts regime is not yet in force and its start date has moved more than once, so frame the question around the lasting issue of what a reminder should say, not around when the rule starts. Test wording, timing and format on attention and understanding.
53. CMA Direct Enforcement and Marketing Compliance Culture: How Do Mid-Sized Retailers Respond to Fining Powers? Interviews With Compliance and Marketing Managers The CMA can now enforce consumer law directly, with maximum fines of 10 percent of global turnover or £300,000, whichever is greater, according to its guidance on direct enforcement. Access to managers is the main risk, so line up interviewees early.
54. Influencer Ad Labelling: Which Labels Do Followers Recognise as Advertising? A Survey Experiment Comparing “Ad”, Platform Paid-Partnership Tags and Gifted-Product Wording The ASA’s #Ad(vice) guidance accepts labels such as “Ad” and says wording such as “Gifted” is not enough. Test recognition across label types with mock posts. Make sure the posts look realistic and use fictional creators.
55. Upheld ASA Rulings on Influencer Posts: A Content Analysis of the Reasons Given The ASA’s rulings are public. Build a sample of upheld influencer rulings, code the reasons and look for patterns by product category. Be clear about your sampling rule so the analysis can be repeated.
56. AI-Generated Product Imagery and Misleading Claims: Do Shoppers Notice Exaggeration When Images Are Generated? An Experiment Linked to the ASA’s Position That Existing Rules Apply Reporting in June 2026 indicates the ASA’s position is that existing CAP Code rules apply however an ad is made. Show participants real and generated product images with the same claim and measure how misleading each seems. Take care with consent and with how generated images are described to participants.
57. Food Advertising Restrictions and Creative Strategy: How Have Food Brands Changed Paid Online Ads Since the Rules Began on 5 January 2026? Interviews and Content Analysis Restrictions on less healthy food advertising came into force on 5 January 2026, with the ASA and Ofcom sharing oversight, as set out in the government’s scope guidance. It is early for sales data, so interviews and ad content analysis are the realistic routes.
58. Cookie Banner Wording After the Statistical-Purposes Exception: Does Explaining What Analytics Cookies Do Affect Trust? A Website Experiment Changes to the Privacy and Electronic Communications Regulations came into force on 5 February 2026 and added exceptions for some statistical and appearance cookies, with final ICO guidance issued in April 2026. Advertising cookies still need consent. Test wording and layout on trust and consent.
59. Parents’ Views on Character-Led Food Packaging: Interviews on Gatekeeping and Marketing to Children Interview parents, not children, about how characters on packs affect what they buy. This keeps ethics approval simpler. Link your findings to the wider debate about marketing to children and the food advertising restrictions.
60. Harmful Gender Stereotypes in UK Advertising: Consumer Reaction to Ads Judged Against the CAP Code Rule on Gender Stereotypes Use a set of ads with and without stereotyped portrayals and measure reactions across gender and age groups. Read the rule and relevant ASA rulings carefully so your stimuli reflect the actual standard. Mixed-methods designs work well here.
61. Dark Patterns in Mobile App Checkout Flows and Perceived Manipulation: A Heuristic Audit Mapped to the Persuasion Knowledge Model Friestad and Wright’s Persuasion Knowledge Model explains how people detect and cope with persuasion attempts. Audit a defined sample of app checkouts for manipulative patterns, then test whether users notice them. Take screenshots with dates and keep a clear audit protocol.

Sustainability Marketing Dissertation Topics: Green Claims and Consumer Scepticism

Green marketing sits where consumer research meets regulation. The CMA’s Green Claims Code gives you a ready standard for judging claims, and the corporate social responsibility dissertation topics list offers further angles on corporate responsibility.

62. Vague Versus Specific Environmental Claims on Clothing Labels: Consumer Scepticism and Purchase Intention Judged Against the Green Claims Code The CMA published a compliance guide for fashion businesses in September 2024, based on the Green Claims Code, and wrote to 17 fashion brands. Test how shoppers respond to broad terms versus specific, evidenced claims.
63. Sustainable Range Criteria in Fashion Retail: Do Shoppers Understand What a Conscious Collection Includes? A Think-Aloud Study The CMA’s fashion letters raised concern about collections whose inclusion criteria are not stated. Ask shoppers to think aloud while viewing a product page and note what they assume the label means. Qualitative analysis can show where understanding breaks down.
64. Greenhushing in UK Consumer Goods: Why Do Firms Under-Communicate Sustainability Progress? Interviews With Brand Managers Greenhushing describes firms saying less about their environmental work, often from fear of criticism. Interviews with brand managers can explore their reasoning. Evidence on how widespread it is should be treated cautiously, so frame the study as exploratory.
65. The Attitude-Behaviour Gap in Sustainable Grocery Choice: Does Price or Habit Explain It? A Choice-Based Conjoint Study A choice-based conjoint lets you estimate how much each product feature matters in trade-offs. Design choice sets that vary price, label and brand and compare with stated attitudes. A conjoint needs careful design, so use a template or a package such as R’s choice modelling tools.
66. Refill and Reuse Schemes as Marketing Propositions in Beauty Retail: Barriers Perceived by First-Time Users Interview first-time users about what almost stopped them trying a refill scheme. Thematic analysis can then separate practical barriers from image concerns. Recruit through retailers or social groups, with permission.
67. Carbon Labels on Menus and Food Choice: A Field Experiment in a University Canteen Compare sales or choices across menu versions with and without carbon labels. You will need canteen management approval, so ask early. Record what changed on each day to explain unexpected differences.
68. Second-Hand Fashion Platforms and Premium Brand Equity: Do Resale Listings Dilute or Reinforce Prestige? Survey consumers on how they perceive a premium label after viewing resale listings, compared with a control group. Use a fictional label to keep prior opinions out of the data. Report how you checked that people understood the stimuli.
69. Cause-Related Marketing Fit and Perceived Sincerity in Supermarket Charity Partnerships Varadarajan and Menon’s work on cause-related marketing gives a base. Test whether a closer fit between retailer and cause raises perceived sincerity. Pre-test the pairings so your fit manipulation is believable.
70. Recyclability Labels and Consumer Knowledge: Do Shoppers Understand What Widely Recycled Means? A Survey With a Short Knowledge Test Combine attitude questions with a short test of what labels mean. Scoring the test separates real understanding from confidence. Keep the test short so respondents finish it.

Marketing Analytics Research Topics: Measurement, Attribution and Effectiveness

Measurement topics suit students who enjoy data. They often need software skills, so check your skills before you commit. If you prefer a tools-based perspective, the business intelligence dissertation topics list covers dashboards and reporting.

71. Comparing Bayesian Marketing Mix Models: Stability of Channel ROI Estimates in Google’s Meridian and Meta’s Robyn on the Same Dataset Both tools are open source. Fit each model to the same dataset, simulated or from a cooperating company, and compare how stable the channel return estimates are. Needs R or Python skills, so it suits Master’s or PhD level. Document the settings of each run so results can be repeated.
72. Brand Building Versus Activation Spend: Testing the Recommended Balance From Binet and Field Against Small-Firm Budgets Binet and Field’s work, linked to the IPA, argues for a balance between brand-building and short-term activation. Test whether small firms with different splits report different outcomes. Data access is the main hurdle, so check what your library provides.
73. Customer Lifetime Value Estimation: Comparing Probabilistic Models and RFM Heuristics on a Public Retail Transaction Dataset A public online retail transaction dataset, such as the one in the UCI Machine Learning Repository, lets you compare simple recency-frequency-monetary scoring with probabilistic models. Hold out later purchases to test predictions. Needs Python or R.
74. Attribution Choices and Budget Decisions: Does Last-Click Reporting Lead Marketing Students to Over-Invest in Search? A Simulation Experiment Give participants the same campaign data reported two ways, last-click and data-driven, and ask them to allocate a budget. Compare the allocations. A simple, controlled design for a Master’s project.
75. Dashboards and Decision Quality: Do Visual Dashboards Improve Budget Decisions Over Tables? A Lab Experiment Randomly assign participants to a dashboard or a table, then score their decisions against a known best answer. Decision quality needs a clear marking scheme, so write it first. Participants can be students if you are open about the limitation.
76. Incrementality Testing for Small Advertisers: Designing Geo-Experiments With Few Regions Geo-experiments compare outcomes across regions with and without advertising. With few regions, statistical power is a concern, so use simulation to show what can and cannot be detected. A technical topic best suited to PhD or advanced Master’s work.
77. Survey Mode Effects in Brand Awareness Research: Do Online Panels and Street Intercepts Give Different Estimates? Run the same awareness questions through two modes and compare results. Differences show how method choices shape marketing evidence. Keep questionnaires identical and report response rates for each mode.
78. Marketing Capability and SME Performance: Testing the Resource-Based View With a Survey of Small UK Manufacturers Barney’s resource-based view argues that valuable, hard-to-copy resources give lasting advantage. Measure marketing capability and performance in small manufacturers. Plan for low response rates and consider follow-up reminders.
79. Customer Metrics in Retailers’ Annual Reports: What Do Listed Retailers Disclose, and Is It Comparable? A Content Analysis Annual reports are public, so no access request is needed. Code which customer metrics are reported and how they are defined, then assess comparability. A clear, low-risk topic for undergraduate or Master’s level.
80. Sentiment Analysis of Product Reviews for Competitive Positioning: Comparing Lexicon-Based and Transformer Models on a Public Review Dataset Use a public dataset rather than scraping, since platform terms can restrict scraping. Compare how each method classifies sentiment and how that affects a positioning map. Requires Python and a clear validation plan.

AI and Data in Marketing Dissertation Ideas

AI questions are popular and easy to make vague. These titles stay specific by naming a task, a setting and a measurable outcome. For a broader technical angle, see the artificial intelligence dissertation topics page.

81. Disclosure of AI-Written Product Descriptions: Effects on Authenticity and Trust in Online Marketplaces Show product descriptions labelled as AI-written or not and measure authenticity and trust. Use matched descriptions so only the label differs. Test whether effects vary with product type, such as electronics versus handmade goods.
82. Generative AI Adoption in Small Marketing Agencies: A Technology-Organisation-Environment Framework Study The Technology-Organisation-Environment framework, from Tornatzky and Fleischer, organises adoption factors. Interview agency owners about tools they use and why. Keep the sample to small agencies so contexts are comparable.
83. The Personalisation-Privacy Paradox in Loyalty Apps: Does Perceived Benefit Outweigh Concern When Users Share Purchase Data? A Privacy Calculus Test Privacy calculus treats sharing as a trade-off between benefits and risks. Survey loyalty app users on both and on actual sharing choices. Be careful with how you word sensitive questions.
84. Algorithmic Versus Human Stylist Advice in Online Fashion: Which Recommendations Do Shoppers Trust More? Present the same recommendation labelled as human or algorithmic and measure trust and intention to buy. Use a neutral product set. A tidy experimental design for undergraduate or Master’s level.
85. Warm Handover Language in Chatbot-to-Human Service Transfers: Does It Improve Satisfaction After a Failed Chat? A Scripted Experiment Script two versions of a handover, one with warm language and one neutral, then measure satisfaction. Keep the problem and the resolution identical across versions. Report how realistic participants found the scenario.
86. Large Language Model Personas as Synthetic Respondents: How Closely Do They Reproduce Human Survey Results on Brand Attitudes? Compare answers from model-generated personas with a real survey of the same questions. The topic may offer scope for new contributions, but you need a human benchmark. Document prompts and settings exactly for repeatability.
87. Voice Assistants and Brand Choice in Repeat Purchases: Convenience Versus Perceived Loss of Control Interview regular voice-shopping users about how they choose between brands and when they override the assistant. Thematic analysis can reveal tensions between convenience and control. Recruit through online communities with permission.
88. Fairness Checks in Ad Targeting: How Do Marketing Teams Guard Against Biased Audiences? Interviews With Practitioners Reporting on the ASA’s June 2026 position says advertisers remain responsible for harmful or stereotyped AI outputs and for targeting, even when automated. Interview practitioners about the checks they run. Treat the topic as exploratory and anonymise participants.

Non-Profit, Health and Public Sector Marketing Research Topics

Marketing in charities, health services and public bodies is under-represented in most free lists, which leaves room for focused work. These settings often involve vulnerable people, so ethics planning matters from the start.

89. Donor Retention After a First Gift: Which Thank-You Communications Bring Donors Back? A Study With a Small Charity Work with a small charity to compare follow-up messages and later giving. Check the Code of Fundraising Practice and data protection rules before using donor data. A realistic project only if the charity agrees early.
90. Applying the COM-B Model to Smoking Cessation Campaign Materials: A Content Analysis of Local Campaigns The COM-B model, from Michie and colleagues, links capability, opportunity and motivation to behaviour. Code local campaign materials against it and identify which elements are missing. Public materials mean low ethics risk.
91. Pharmaceutical Marketing to Prescribers Under the ABPI Code: A Content Analysis of PMCPA Case Reports The Prescription Medicines Code of Practice Authority publishes case reports on complaints. Code the reports for issues such as promotional claims and prescriber communication. A document-based study avoids patient data.
92. Hospital Service Branding and Patient Choice in Private Healthcare: Interviews With Self-Pay Patients Interview self-pay patients about what shaped their choice of provider. Recruitment is difficult and sensitive, so use patient groups or online communities with permission. Keep questions about outcomes limited.
93. Place Branding and Resident Identity in Post-Industrial Towns: A Qualitative Study Interview residents about how a local branding campaign matches their own sense of place. Compare official messages with resident views. Be clear about which campaign and period you study.
94. University Marketing Claims and Applicant Expectations: How Do Prospective Students Interpret Graduate Outcome Statements? Show applicants two versions of an outcome statement and ask what they expect. Survey designs are simple but need careful wording. A natural fit for those with access to sixth-form or college students, with proper permissions.
95. Local Council Recycling Campaigns: Recall and Action Among Residents After a Targeted Mailing Survey residents in targeted and comparison areas about recall of the campaign and changed behaviour. Use a simple comparison design. Respondent access may require help from the council.
96. Political Micro-Targeting and Perceived Legitimacy Among First-Time Voters: A Scenario Survey Show scenarios of targeted political messages and ask about fairness and trust. Keep content neutral and avoid real parties. Political topics can be sensitive, so get ethics approval before recruitment.
97. Volunteer Recruitment Messaging in Community Charities: Which Appeals Predict Sign-Up Intention? Test appeals based on helping others, personal growth or social connection. Randomly show one to each participant and measure intention. A good undergraduate experiment with clear outcomes.
98. Gain Versus Loss Framing in Blood Donation Appeals Among Young Adults: A Prospect Theory Experiment Prospect theory suggests losses loom larger than gains. Test two message frames on donation intention. Use a neutral information sheet and avoid pressuring participants. Report that intention does not equal action.

International and Cross-Cultural Marketing Dissertation Topics

International projects are strongest when they test a framework against real material from two or more markets. The international business dissertation topics list covers market entry and trade from a business angle.

99. Hofstede Versus GLOBE in Explaining Advertising Appeals: A Content Analysis of UK and Indian Mobile Network Adverts Both frameworks claim to explain cultural differences. Code a sample of adverts for appeals such as family, status and humour, then compare with each framework’s predictions. Discuss criticisms of both, including how well national scores represent individuals.
100. Standardisation Versus Adaptation in the Websites of UK Fashion Retailers Entering Gulf Markets: A Comparative Content Analysis Compare retailers’ UK and Gulf-market sites for language, imagery, payment options and promotions. Build a coding frame before you collect screenshots. Date every capture, since sites change.
101. Country-of-Origin Effects for Services: Does “Designed in Britain” Matter for Online Education Providers Targeting South Asian Students? Test whether origin cues change perceived quality and enrolment intention. Use fictional providers and varied origin labels. Recruit from the target group and be careful not to generalise beyond it.
102. Export Readiness and Marketing Capability in Small UK Food Producers: A Multiple Case Study Choose a few small producers at similar stages of exporting and compare their marketing capabilities. Interviews and public documents give two evidence sources. Keep the cases comparable by product type.
103. Diaspora Consumers and Ethnic Food Brand Loyalty in the UK: Acculturation and Brand Choice Berry’s acculturation model describes how people adapt to a new culture. Survey or interview diaspora consumers about food brand choices and relate them to acculturation. Use respectful, culturally aware wording.
104. Cross-Border E-Commerce Trust: Perceived Risk and Return Policies When UK Buyers Purchase From Overseas Sellers Test how return policies and seller information affect perceived risk. Use mock listings and measure purchase intention. A simple, practical design for undergraduate or Master’s level.
105. Multilingual Support and Satisfaction Among Migrant Customers in UK Banking: A Survey Study Survey customers whose first language is not English about support options and satisfaction. Translate the questionnaire carefully and test it. Be careful not to ask about immigration status.
106. Mobile Wallet Adoption Among Small Retailers in One Emerging Market: A Technology Acceptance Model Extension With Trust Davis’s Technology Acceptance Model gives a base. Add trust and test with a survey of small retailers. Choose one market and be clear about its payment context.

Marketing Thesis Topics for Theory and Method (Master’s and PhD)

These topics look at how marketing knowledge is produced. They suit students who want a methodological contribution, and they are demanding, so discuss feasibility with your supervisor before you commit.

107. Replicating a Classic Anchoring Experiment on Willingness to Pay in an Online UK Sample A replication tests whether a well-known result holds in a new sample. Preregister your hypotheses and analysis plan. Report the result honestly whether or not it matches the original.
108. Common Method Bias in Marketing Surveys: Does a Procedural Remedy Change the Reported Link Between Brand Trust and Loyalty? A Split-Sample Design Podsakoff and colleagues’ work on common method biases explains how single-source surveys can inflate relationships. Compare a standard questionnaire with one using procedural remedies, such as separating measures. Needs a reasonably large sample.
109. Measurement Invariance of a Brand Trust Scale Across Age Groups: A Multi-Group Confirmatory Factor Analysis Invariance testing checks whether a scale means the same thing to different groups. Use R’s lavaan or similar software. Needs a large sample, so plan recruitment carefully.
110. Explaining Unexpected Survey Results With Interviews: A Mixed-Methods Explanatory Design in Retail Banking Customer Experience Run a survey first, then interview a subset to explain surprising patterns. The design suits Master’s work if the survey is short. Describe how participants were chosen for interviews.
111. Fuzzy-Set Qualitative Comparative Analysis of Brand Loyalty: Which Combinations of Trust, Price and Convenience Lead to Loyalty in Online Grocery? fsQCA, associated with Charles Ragin, looks at combinations of conditions rather than single effects. It suits medium samples and asks you to calibrate each condition. Requires specific software and careful explanation.
112. Systematic Review of Greenwashing Research in Marketing Journals: Definitions, Measures and Theoretical Lenses Follow a reporting standard such as PRISMA, record search terms and map how studies define and measure greenwashing. Quality depends on a clear protocol written before searching. A good PhD literature chapter, or a stand-alone Master’s project.
113. Student Samples in Consumer Research: How Far Do Results From University Participants Generalise to Older Shoppers? A Two-Sample Comparison Run the same short study with students and with older adults and compare. The comparison shows when student samples are acceptable. Recruiting older participants is the hard part.

Worked Examples: From Topic to Aim and Objectives

Decoy Plans in Mobile Tariff Choice

Aim: To test whether adding a clearly inferior third plan changes which tariff UK adults choose online.

• To compare choice shares between a two-plan group and a three-plan group.
• To measure perceived choice difficulty and confidence in both groups.
• To examine whether the decoy effect differs between frequent and infrequent comparison-site users.

Influencer Ad Labels and Follower Recognition

Aim: To establish which advertising labels UK young adults recognise as advertising on influencer posts.

• To compare recognition rates for “Ad”, a platform paid-partnership tag and gifted-product wording.
• To measure whether recognition is linked to trust in the creator.
• To assess how far label placement changes recognition.

Stability of Marketing Mix Model Estimates

Aim: To compare how stable channel return estimates are across two open-source Bayesian marketing mix modelling tools.

• To fit both tools to a single dataset using documented settings.
• To compare channel estimates and their uncertainty ranges.
• To test how estimates change when the data period is shortened.

Buying Centre Roles in Small-Firm Software Purchases

Aim: To identify which roles shape software purchase decisions in UK small firms.

• To map the people involved in a recent software decision in each firm.
• To compare the roles found with Webster and Wind’s categories.
• To explain where small-firm decisions depart from the model.

Choosing a Research Method for a Marketing Dissertation

The right method follows from the question, not the other way round. If you need help with design choices, dissertation methodology help can support you. The free sample size calculator helps you plan a survey or experiment, and your department will have its own expectations on sample size.

Method	Suits	Common tools	Common pitfall
Survey with regression or structural equation modelling	Attitudes, intentions and relationships between constructs, such as trust and loyalty	SPSS, R, SmartPLS, Qualtrics	Measuring intention and treating it as behaviour
Online experiment	Messages, labels, prices and interface changes where one element can be varied	Qualtrics, Prolific, R	Stimuli that are not realistic, no manipulation check
Semi-structured interviews	Practitioner views, hard-to-measure motives and early-stage topics	NVivo, manual thematic coding	Too few participants and weak justification of the sample
Netnography or content analysis	Public posts, adverts, policies and rulings	NVivo, spreadsheets, coding frames	Unclear sampling rule and no reliability check
Secondary data or case study	Annual reports, public datasets, ASA and CMA material	Excel, R, Python	Data that does not match the question
Marketing mix or attribution modelling	Channel effectiveness and budget allocation	R, Python, open-source modelling tools	Too little data and unrecorded model settings

What Markers Expect at Each Level

Undergraduate. Test one established model in one setting with a modest survey or a few interviews. Plain, clear questions with reachable respondents work best. A well-run small study with honest limitations scores higher than an ambitious one that cannot be completed.

Master’s and MBA. Add a stronger theoretical framework or a defined business problem, and justify your design choices. Practitioner access can lift an MBA project, so ask early. If your work is MBA-focused, the MBA marketing dissertation ideas list may fit better.

PhD. A doctoral topic needs a clear original contribution, such as new theory, a new measure or a new dataset. Replication and method-focused work can contribute if designed carefully. Plan ethics and data management at the start.

Common Mistakes in Marketing Dissertation Topics

• Measuring intention and presenting it as behaviour. State clearly what you measured and what you did not.
• Using “Gen Z” or “millennials” without a birth-year range and a reason for it.
• Relying on convenience samples of students without discussing how far results travel.
• Citing a rule as settled when it has recently changed or is not yet in force.
• Building a long survey with single-item measures for complex ideas such as brand trust.
• Scraping social media data without checking platform terms and your ethics route.
• Choosing a real brand as a case without a plan for data access.

Marketing Dissertation Topics: Frequently Asked Questions

How narrow should a marketing dissertation title be?

Name the marketing practice, the setting, the group of people and what you will measure. If your title could describe ten different studies, it is still too broad. Test it by asking whether you could write a clear survey or interview question from it.

Should I choose a survey or an experiment?

Use a survey to explain attitudes and relationships between ideas, and an experiment to test whether changing one thing, such as a label or a price, changes behaviour. If you can change the element yourself, an experiment is usually a stronger test.

What if a rule I rely on changes while I am writing?

Say which version of the rule you used and the date you checked it. Frame your research question around the lasting issue so it still makes sense if the rule changes. Check gov.uk or the relevant regulator again before submission.

Can I study a well-known brand without company access?

Yes, if your evidence is public: annual reports, advertising, ASA or CMA material and consumer surveys you run yourself. Avoid claims about internal decisions you cannot see, and be clear about the limits of what outside data can show.

Is it acceptable to use “Gen Z” as my sample?

Only if you define it. Give a birth-year range, justify it and recruit people who fit. Generational labels are loose, so many studies use age bands instead.

How large should my sample be?

It depends on your design and analysis. A power or sample size calculation, using a tool such as the free sample size calculator, gives a defensible starting point, and your supervisor will know what your department expects.

Next Steps: From Shortlist to Proposal

Pick two or three candidate titles from the lists and run each through the free dissertation topic finder to check it against related ideas. The guide on how to choose research topics shows how to compare options, and the explanation of how to write a research question helps you turn a title into a question.

Once you have a question, the research question generator, the research aims and objectives generator and the hypothesis builder can help you draft each part. The statistical test selector and the dissertation timeline planner help with analysis and planning.

If you want a second pair of eyes on a shortlist, subject specialists can review your question and design through marketing dissertation help or support you with a research proposal writing service. Any material you receive is for reference and learning and should be used in line with your institution’s policy.

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