
Audience research
How do you run audience research for food creator partnerships?
Audience research for food creator partnerships: which data sources to use, how to design surveys and interviews, and the UK rules to check first.
What to take away
- Which? has published consumer data resources since at least 2021. Its policy team continues to add to them in 2026, giving UK food brands a free starting point for claims about what diners actually do.
- The ICO's controller and processor guidance is the reference point for any audience research that involves sharing personal data between a restaurant, an agency and a creator.
- TikTok's own insights tool and LinkedIn's published ad pricing help you size creator reach and paid amplification. Neither replaces primary research with your own customers.
- A short survey plus five to eight customer interviews will usually tell you more about booking intent than any platform dashboard. That holds as long as you are honest about who is in the sample.
- Build the research plan before you brief a creator, not after, so the campaign answers a question you already know matters.
Why audience research comes before the creator brief
Most restaurant partnerships start with a creator shortlist. That is the wrong order. You cannot judge whether a food creator fits your brand until you know who you are trying to reach. You also need to know what your audience already believes about your menu, and what would make them book.
Research first also protects the budget. A campaign built on assumptions about your audience tends to produce reach without covers. A campaign built on evidence gives you something to measure against, which is the only way to decide whether to work with the same creator again.
This guide covers the sources worth using, how to design the fieldwork, what UK rules apply, and how to compare the options before you commit. It sits alongside the practical pieces in this cluster. Start with competitor research for food creator partnerships if you need to map who else is already working with creators in your category.
What you actually need to find out
A useful research plan answers a few questions well. Start with basics: who in your catchment eats out at your price point at least monthly, and on which occasions?
Usual barriers are price, travel, dietary options or not knowing you exist. Before writing one question, set a distance radius and a spend band.
Then add the creator-specific questions. Which accounts does your audience already follow? Ask whether they trust food content from professionals, enthusiasts or ordinary diners. Would a discount code make them act, or would it make them doubt the quality?
Write these down as a one-page brief. Anything that does not map to a question should not be in the fieldwork. If you want to sort the answers into groups, our guide to food creator partnerships buyer personas shows how to build usable segments.
Desk research: what is already published
Before you commission anything, check what exists. Consumer bodies, trade associations and platform insight teams publish material that can frame your hypotheses and give you a benchmark to test against.
Desk research sources
Which? consumer data
- Cost
- Free
- Best for
- Benchmarking
- Main limitation
- Not local
TikTok Insights
- Cost
- Free
- Best for
- Format and audience
- Main limitation
- Platform-biased
LinkedIn ad pricing
- Cost
- Free
- Best for
- Paid amplification
- Main limitation
- Not core channel
Which? maintains a set of consumer data resources covering UK household spending and behaviour. Use it to sanity-check assumptions about how often people eat out and what they prioritise. It will not tell you about your street, but it will stop you building a plan on a figure that is plainly wrong.
Platform insight tools are the second stop. TikTok publishes research and trend material through TikTok Insights. That covers how food content formats perform and which audience segments are active on the platform. Treat platform data as directional, because the platform benefits from you believing its audience is your audience.
You may want paid budget behind a creator's post. LinkedIn's advertising costs and pricing page sets out how that platform charges, which is useful when you compare paid amplification quotes. For a restaurant, the more relevant paid channels are usually Meta and TikTok, but the pricing logic is similar and worth knowing before you negotiate.
Primary research: surveys, interviews and observation
Primary research is where you learn something you could not have guessed. Three methods cover most restaurant needs.
Primary research methods
Surveys
- Strength
- Breadth
- Sample
- Booking list
- Reveals
- Frequency
- Limitation
- Low response
Interviews
- Strength
- Depth
- Sample
- 5-8 people
- Reveals
- Language and objections
- Limitation
- Small sample
Observation
- Strength
- Context
- Sample
- Venue visitors
- Reveals
- Real behaviour
- Limitation
- Hard to scale
Surveys give you breadth. A well-built questionnaire of ten to fifteen questions, sent to your booking list, can tell you how your customers found you. It can also show what would make them come more often. Response rates are usually low, so plan for a small sample and do not over-claim from it.
If you need to pick survey software, our guide to survey tools for food creator partnerships in England compares the options.
Interviews give you depth. Five to eight conversations of twenty minutes each will surface the language people use about your food. They also reveal the objections that never make it into a survey box. Recruit from your regulars and from lapsed customers, not just from people who already like you.
Observation gives you context. Watching how people move through your venue, what they photograph and when they order dessert tells you which moments are worth filming. It is cheap and it is often more honest than anything people say about themselves.
How to design a survey that survives scrutiny
Keep the questionnaire short enough to finish on a phone in under four minutes. Lead with behaviour, not opinion. Ask how many times someone ate out in the last month before asking whether they enjoy eating out.
Survey design rules
- Finish on a phone in under four minutes
- Lead with behaviour, not opinion
- Avoid leading questions
- Include one open question
- State who is in the sample
Avoid leading questions. Asking how much someone enjoyed the new menu assumes that they enjoyed it. Asking how they would describe it does not.
Include one open question about what would make them visit more often. The answers are usually more useful than any scaled question you could write.
Be explicit about who is in the sample. If you only surveyed people who already follow you, say so. A small, well-described sample is more credible than a large one with no stated method. It will also stand up better if a client or investor asks how you know.
Interviews: getting past the polite answer
People are generous with praise and stingy with specifics. Your job in an interview is to get to the specifics without leading the witness.
Ask about the last time they ate out, not about eating out in general. Ask what they ordered, who they were with, what they nearly chose instead. Ask what they did before booking. Ask whether they saw anything about the restaurant beforehand, and where.
Do not ask whether they would respond to a creator recommendation. Ask what they last booked because of something they saw online, and why that one worked. The answer tells you more about trust than any hypothetical question can. Our piece on customer interviews for food creator partnerships covers how to structure the conversation and how many you need.
Reading platform data without being led by it
Platform dashboards are seductive because they are free and immediate. They are also built to show you that the platform is worth spending on.
Use them for three things. First, audience composition: age bands, location and interests, so you can check whether a creator's following overlaps with your catchment. Second, content format performance: which video lengths and hooks hold attention in your category. Third, timing: when your likely customers are actually scrolling.
Do not use them to estimate footfall. A creator with strong engagement in a city you do not operate in is not a fit, however good the numbers look. Cross-check every platform claim against your own booking data, your EPOS data or a short survey.
The UK compliance layer
Audience research often involves personal data. The moment you combine booking records with survey responses, you are processing personal data. Share a customer list with an agency or creator and the same rules apply.
The ICO's guidance on controllers and processors sets out who is responsible for what when more than one organisation is involved. Decide in writing which party is the controller for a given dataset.
It might be the restaurant, the agency or the creator, and each has limits on what it may do with the data. Get this wrong and the campaign can be pulled after launch.
The advertising rules sit alongside this. Any content a creator posts within a paid partnership must be clearly identifiable as an ad. The same rules apply whether the payment is cash, a free meal or a discount.
For marketing teams, the CAP eLearning modules are the quickest way to learn what the CAP Code requires.
One practical point. If your research involves filming customers in the venue, you need consent for that too, and it should be recorded separately from any marketing opt-in.
Comparing your research options
The table below sets out the main methods, what each costs in time and money, and where each is strongest. Figures are illustrative examples for a single-site restaurant, not quotes.
Research options compared
Published data
- Cost
- Free
- Time
- Immediate
- Best for
- Benchmarking
- Limitation
- Not local
Platform tools
- Cost
- Free
- Time
- Immediate
- Best for
- Audience checks
- Limitation
- Platform-biased
Booking survey
- Cost
- £0-£150
- Time
- 1-2 weeks
- Best for
- Behaviour
- Limitation
- Low response
Interviews
- Cost
- £200-£500
- Time
- 2-3 weeks
- Best for
- Language
- Limitation
- Small sample
Typical cost (illustrative)
- Published consumer data
- Free
- Platform insight tools
- Free
- Booking list survey
- £0 to £150 in tooling
- Customer interviews
- £200 to £500 in incentives
- In-venue observation
- Staff time only
- Paid amplification test
- £300 to £1,000 media spend
Time to results
- Published consumer data
- Immediate
- Platform insight tools
- Immediate
- Booking list survey
- 1 to 2 weeks
- Customer interviews
- 2 to 3 weeks
- In-venue observation
- 1 week
- Paid amplification test
- 2 to 4 weeks
Best for
- Published consumer data
- Benchmarking assumptions
- Platform insight tools
- Audience and format checks
- Booking list survey
- Behaviour and frequency
- Customer interviews
- Language and objections
- In-venue observation
- Real behaviour
- Paid amplification test
- Reach and response
Main limitation
- Published consumer data
- Not local to your venue
- Platform insight tools
- Platform-biased
- Booking list survey
- Low response rates
- Customer interviews
- Small samples
- In-venue observation
- Hard to record at scale
- Paid amplification test
- Costs money to learn
For a first campaign, a survey plus interviews is usually enough. Add a small paid test only once you have a hypothesis worth testing.
Turning findings into a creator brief
A research finding is only useful if it changes what you do. Convert each finding into a line in the brief.
If your interviews show that customers choose you for a specific dish, that dish should be in the creator's content plan. If your survey shows that most bookings come from people within a twenty-minute journey, brief the creator to speak to that radius rather than chasing national reach.
Set the measurement before the campaign starts. Decide what success looks like, whether that is tracked bookings, code redemptions or a change in how people describe you. Our guide to measurement and reporting for food creator partnerships sets out the metrics worth tracking. It also covers how to present them without overclaiming.
The brief should also name who owns the data, who approves the content and what happens if the creator's audience turns out to be a poor match. Agreeing that in advance makes the review conversation straightforward.
Common questions
How many people do I need to survey for useful results?
For a single-site restaurant, 80 to 150 complete responses from your own booking list will usually surface clear patterns. That assumes you report the sample honestly. Below 50, treat the results as directional only. No statistical minimum makes a small local survey representative of a whole city.
Can I use a creator's own audience data instead of doing my own research?
You can use it to check fit, but not to replace your own fieldwork. Creator dashboards show who follows the creator, not who books your tables. Use platform insights to screen candidates, then test the shortlist against your own booking or survey data before committing budget.
Do I need consent to use customer booking data in audience research?
Usually yes, and the lawful basis depends on what you are doing with it. If you are analysing your own customers for your own marketing, that may fall under legitimate interests or an existing consent. If you are sharing the data with an agency or creator, the position changes. Document the roles and the basis before any data moves.
What should I do if my research contradicts the creator's pitch?
Trust the research. If your customers do not respond to the format or the audience a creator is proposing, say so. Either change the brief or walk away. A partnership that ignores your own evidence is an expensive way to learn what you already knew.
In this guide
- Check food creator partnerships target audience before you pitchA step-by-step method to build a food creator partnerships target audience from demand data, inflation figures and advertising rules, so pitches rest on evidence.
- What a buyer persona means for food creator partnershipsBuyer personas for food creator partnerships describe the people who approve the spend, and the data handling rules behind that research shape how they are built.
- Food influencers: customer interviews without guessworkA practical guide to food influencers and restaurant partnerships: recruit diners, ask consistent interview questions, handle consent and score findings.
- Why food creator partnerships survey tools need a rules checkCompare food creator partnerships survey tools against ICO, ASA and DMCC rules, with a before and after table for consent, disclosure and prize draws in England.
- Nine checks for food creator partnerships competitor researchA nine-point checklist for food creator partnerships competitor research, covering which rivals to watch, what to log and how to brief a first paid test.



