A marketing dissertation lives or dies on the quality of its data, and most students default to whichever database their library homepage shows first rather than the one that actually answers their research question. Below is a straight comparison of the eight sources UK marketing students reach for most, what each is actually good for, and one clear recommendation by research type.
| Source | What it actually holds | Typical access | Best for |
|---|---|---|---|
| Mintel | UK market research reports by sector, consumer attitudes, market size | Subscription — many UK university libraries provide student access; check yours before assuming it is unavailable | Sector/market overview, secondary desk research |
| Statista | Aggregated statistics and charts across industries, sourced from many original studies | Freemium; full access is usually via a university library subscription | Quick statistics to support an argument, background context |
| YouGov | Public opinion polling, some published consumer-attitude data free on its own site | Free published reports; deeper datasets are commercial | Public attitudes and opinion-tracking topics |
| Kantar | Consumer panel and brand-tracking data (e.g. Worldpanel) | Commercial; limited free reports and press releases available directly | Purchase-behaviour and brand-tracking topics, used cautiously via free summaries |
| ONS | Official UK statistics — retail sales index, consumer trends, business demographics | Free, Open Government Licence | National-level economic and consumer-spending context |
| Google Trends | Relative search-interest volume over time and by region | Free | Trend and seasonality analysis, topic salience over time |
| Companies House | UK company filings, accounts, directors | Free | Competitor or case-study company financial and strategic background |
| Your own primary survey | Whatever you design it to measure | Free platform tiers usually sufficient for undergraduate sample sizes | Testing a specific hypothesis Mintel/Statista cannot answer for you |
The Shortlist, by What Your Research Question Actually Needs
1. Mintel — for Sector and Market Overviews
If your dissertation needs UK market-size figures, category trends, or consumer-attitude summaries for a specific sector (fashion retail, fast food, beauty, and dozens more), Mintel’s own market research reports are the closest thing to an off-the-shelf secondary data source in UK marketing research. Access is almost always through your university library rather than a personal subscription — check your library’s database list before assuming a report is out of reach, and always cite the specific report title and publication date, since Mintel’s reports are refreshed regularly and an outdated figure undermines your credibility more than citing none at all.
2. Statista — for Fast Statistical Context
Statista aggregates statistics from many original sources into single charts, which makes it fast for background context but means you are one step removed from the primary source. Where you cite a Statista chart, check whether the underlying primary source is itself credible and cite that source directly if your department expects primary citation — treating Statista as the final citation for a figure it has only aggregated is a common undergraduate shortcut markers notice.
3. YouGov — for Public Opinion and Attitude Tracking
YouGov publishes a genuinely useful volume of free polling data and reports directly on its own site, which makes it one of the more accessible sources here without a subscription. It is strongest for attitude and opinion-tracking topics (brand perception, political and social attitudes relevant to marketing ethics or CSR topics) rather than for granular purchase-behaviour data, which sits more naturally with a panel provider like Kantar.
4. Kantar — for Purchase Behaviour and Brand Tracking
Kantar’s Worldpanel and brand-tracking products hold genuinely granular consumer purchase data, but full access is commercial and rarely available to undergraduate students directly. What is usable is Kantar’s own published press releases and summary reports, which periodically surface headline figures (market share movements, category growth) — treat these as illustrative context rather than a primary dataset you can build a full quantitative analysis around, since the underlying panel data itself will not be available to you.
5. ONS — for National Economic and Consumer-Spending Context
The Office for National Statistics publishes the UK’s official retail sales index, consumer trends and business demographics data free under the Open Government Licence. Where your dissertation needs a national baseline to compare a sector or company trend against — is a category growing faster or slower than retail overall — ONS is the credible, free, citable anchor.
6. Google Trends — for Timing and Salience
Google Trends shows relative search interest over time, not absolute search volume — a distinction worth stating explicitly in your methodology if you use it, since it is a common source of overclaiming. It is genuinely useful for showing when a topic’s public salience rose or fell, or for comparing regional interest, but it cannot tell you why interest changed, or anything about purchase intent, without triangulating against another source.
7. Companies House — for Competitor and Case-Study Background
Where your dissertation uses a named company as a case study or compares competitors, Companies House gives free access to filed accounts, company details and directors — useful for building a factual company profile section, though it does not check the accuracy of what companies themselves file, so treat filed figures as the company’s own reported position rather than independently verified fact.
8. Your Own Primary Survey — for Testing a Specific Hypothesis
None of the secondary sources above can test a hypothesis specific to your own research question — if your dissertation asks whether a particular message, price point or channel changes purchase intention for a defined group, a primary survey or experiment is usually unavoidable. Our guide to interviews vs focus groups for a marketing dissertation covers the qualitative primary-data route where your question is about why rather than how many. Whichever primary route you take, keep participant data handling proportionate and documented in your ethics application — anonymise responses at collection where possible and state your retention and deletion plan, since this is a standard reviewer question regardless of how low-risk the survey itself is.
How Do I Choose Between Secondary and Primary Data?
A useful test: if your research question can be answered by describing what is already true of a market (size, growth, who buys what), secondary sources like Mintel, Statista and ONS are usually sufficient and faster. If your question tests whether something specific changes behaviour or attitude for a defined group — a message, a price, a channel — you almost always need primary data, because no existing dataset was built to test your exact manipulation.
Worked Example: Choosing Sources for One Research Question
Illustrative: a dissertation asking “Does eco-labelling influence UK Gen Z consumers’ purchase intention for fast fashion?” would plausibly draw on Mintel for the UK fast-fashion market overview and existing consumer-attitude data, ONS for a national retail-spending baseline, Google Trends to show rising search interest in “sustainable fashion” as background context — and then a primary survey or experiment, since none of the secondary sources can test whether eco-labelling itself changes intention for this specific sample. Secondary sources build the case that the question matters; only primary data answers it.
How Should I Reference These Sources?
Treat a Mintel or Statista report as an organisational/corporate author source in your reference list — the organisation as author, the report title, the year and the platform, following your department’s Harvard format exactly as it would treat any other corporate report. Government sources like ONS should be referenced as the issuing department or body, with the specific release and year named, not just “ONS” generically. Our complete UK guide to Harvard referencing covers the organisational-author format these sources need in full.
What Mistakes Cost the Most Marks Here?
- Citing Statista for a figure it only aggregated. Trace back to the primary source where your department expects it.
- Treating Google Trends as a measure of volume rather than relative interest. State the distinction explicitly if you use it.
- Building a whole quantitative analysis around a Kantar press release. These are illustrative summaries, not the underlying panel dataset — do not overstate what they can support.
- Using only secondary sources for a question that needed primary data. Market-overview statistics cannot answer whether your specific intervention changes behaviour.
- Citing an outdated Mintel or Statista report without checking for a newer edition. Both are refreshed regularly; an outdated figure is worse than none.
- Referencing “Mintel” or “ONS” generically without the specific report title and year. Both platforms publish many reports; a vague citation cannot be checked by a marker.
Our Recommendation
Start with ONS and Google Trends for free, credible national context regardless of your topic. Add Mintel via your library for sector-specific market data, and YouGov where public attitude matters more than purchase behaviour. Reserve Kantar’s free summaries for illustrative context only. And if your research question tests a specific hypothesis rather than describing an existing market, plan for primary data from the outset rather than trying to force secondary sources to answer a question they were never built for. Our general guide to UK data sources by subject covers the equivalent picture for other disciplines if your dissertation crosses into economics or business more broadly.
Once your data plan is settled, Tesify drafts your methodology and literature chapters around the sources you specify. Everything stays 100% written by you, and it is free to start.
Frequently Asked Questions
Is Mintel free for UK students?
Not directly, but most UK university libraries provide student access through a subscription — check your library’s database list before assuming it is unavailable.
Can I cite Statista as my primary source?
You can, but check whether the chart aggregates data from another named source and cite that source directly where your department expects primary citation.
Is Google Trends data the same as search volume?
No — it shows relative interest over time and region, not absolute search numbers. State this distinction if you use it in your methodology.
Can I access Kantar’s full panel data as an undergraduate?
Rarely — full panel access is commercial. Its free published press releases and summary reports are usable as illustrative context, not as a primary dataset.
Is ONS data reliable enough to cite in a dissertation?
Yes — as the UK’s official statistics body, ONS data published under the Open Government Licence is a credible, citable source for national economic and consumer context.
Do I need primary data for every marketing dissertation?
Not necessarily — if your question is descriptive (market size, category trends), secondary sources can be sufficient. If it tests whether something specific changes behaviour or attitude, primary data is usually required.
How do I know if my Mintel or Statista report is current?
Check the publication date on the report itself and look for a newer edition before citing — both platforms refresh reports regularly.
Can I use Companies House data for a marketing dissertation?
Yes, particularly for building a factual profile of a case-study or competitor company, though remember Companies House does not verify the accuracy of what companies file.
How do I reference a Mintel report in Harvard style?
Treat Mintel as the organisational author, followed by the specific report title, the year, and the platform — following your department’s exact Harvard format for a corporate or organisational source.