First-Party Data
What's Actually in a Receipt
Tesco knows more about your customers than you do. So does Dunnes, SuperValu, Lidl, and every other retailer your product sits in. They see the full basket, the store, the time, the frequency. They know which shopper walked past your product and which one put it in their trolley.
Brands selling through retail have historically had almost none of that.
The receipt changes it. When a consumer submits a receipt as part of a cashback campaign, the brand gets access to the same transaction record the retailer has always had: what was bought, where, when, and what else was in the basket. Alongside that comes a survey completed by a verified buyer. Together, these two things produce a picture of the customer that no panel, no third-party data provider, and no ad platform can replicate.
Key Takeaways
- A receipt contains the full transaction: retailer, store location, SKUs purchased, price paid, basket contents, date and time.
- The survey completed at receipt upload adds a second data layer from a verified buyer, covering whatever the brand needs to know at that point in the campaign.
- Every data point from a cashback campaign has a named destination: sell-in pack, category review, NPD brief, CRM, media plan.
- Brands are using receipt data to seed CRMs, build retargeting audiences, map regional purchase patterns, and understand competitive basket presence.
What a Receipt Actually Contains
Most brands think of a receipt as proof that one product was purchased. It is more than that.
A standard retail receipt, when processed through receipt verification, contains the full picture of a shopping trip.
Retailer name and store location. Not just which chain, but which specific branch. Useful for mapping regional performance and validating distribution decisions.
Date and time of purchase. When in the week and when in the day the product moves. Useful for understanding purchase occasion and timing paid campaigns.
Product SKUs and variants purchased. Which specific product, in which size or format.
Full basket contents. Every other item in the trolley on the same shopping trip.
Total basket value. The average transaction size when your product is included.
The most underused of these is the basket data. Knowing what a consumer bought alongside your product tells you more about who they are and how they shop than any demographic segment. If your product consistently appears in baskets alongside a specific competitor, a specific premium category, or a retailer's own-brand equivalent, that is actionable intelligence. Most brands have never had access to it.
The Survey Layer
The receipt tells you what the consumer bought. The survey tells you whatever else the brand needs to know.
At receipt upload, the consumer completes a set of questions before their cashback is processed. This is the highest-engagement moment in the campaign. The purchase is fresh, the incentive to complete is real, and the respondent is a verified buyer, not a panel participant who may or may not have purchased the product.
Brands can ask anything relevant to their current priorities. Which variant they bought and why. What drove the decision. Whether they have bought the product before. Which retailer they shop in most frequently for this category. What they considered buying instead. How likely they are to buy again.
The combination of receipt data and survey data from the same event is something no research methodology easily replicates. The receipt confirms the behaviour. The survey explains it, a distinction covered in more depth in the insight your research panel cannot give you.
What we find: The questions brands most want answered in a category review or NPD brief are almost always questions about verified buyers. Who bought the product, not just who said they might. Why they chose it over the alternative. Whether the occasion matched the one the brand designed the product for. A cashback campaign produces those answers from people who have actually spent their own money.
Where the Data Goes
Data without a destination is not an asset. Every piece of information a cashback campaign produces has a specific place in the brand's working life.
The verified purchase count goes into the sell-in pack. When a brand walks into a listing conversation with a buyer, "we ran a campaign and drove X verified purchases in your stores" is a different conversation from "we ran a campaign and got X clicks." One is a platform metric. The other is a receipt.
The first-party data goes into the CRM. A consented record on every buyer: contact details, retailer, region, opt-in status. These are retail customers the brand can now contact directly and use as the foundation for repeat purchase communications and lookalike audience modelling.
The survey responses go into the NPD brief, the trade marketing deck, or the agency brief. A brand preparing a new variant or heading into a category review can design their questions accordingly. Both are addressed in the same campaign.
The channel attribution goes into the next media plan. Which channel drove which verified buyers, at what cost. This replaces the proxy metrics most brands currently use to allocate budget across channels, the same gap covered from the paid-media side in trade spend tells you what sold, it never tells you who bought.
The basket data goes into the competitive intelligence file and the distribution strategy. If receipt data consistently shows buyers purchasing your product alongside a specific set of other brands, that informs partnerships, co-marketing decisions, and where the next ranging conversation with a retailer should focus.
What Brands Are Doing With It
The data from a cashback campaign is useful in the moment. It compounds across campaigns.
CRM seeding. Brands selling through retail typically have large numbers of buyers they cannot identify or contact. Cashback campaigns build that list from real purchase events, creating a first-party database of verified retail buyers that reflects the actual breadth of the customer base.
Retargeting. A consented record from a verified buyer is a higher-quality signal than a website visitor or a social media follower. Uploading a cashback campaign audience to Meta or a similar platform to retarget with a follow-on offer or a new product announcement reaches people who have already proven they will buy.
Lookalike audiences. Verified purchasers produce more accurate lookalike models than digital engagement data alone. Someone who bought the product is a better seed audience than a website visitor, with a direct effect on acquisition cost.
Regional analysis. Every receipt carries a store location. Brands can map which retailers in which markets are driving the strongest conversion, where a promotional push might move rate of sale, and which regions are underperforming relative to their distribution weight.
Competitive basket intelligence. Which brands are appearing most frequently alongside yours. Which categories are consistently co-purchased. Whether buyers are loyal to your segment or shopping across multiple alternatives on the same trip.
What we find: Brands that review basket data regularly start to identify patterns that were previously invisible. Consistent co-purchase with a specific competitor can prompt a repositioning conversation or a co-marketing discussion with a non-competing adjacent brand. Neither of those decisions is straightforward without the basket data to support it.
A Receipt Is Not Just a Receipt
The retailer has always had this data. That has never been a secret. What has changed is that brands can now build their own version of it, from their own customers, without depending on a retailer to share it.
Every receipt a verified buyer submits is a customer profile, a transaction record, a basket intelligence report, and a survey response from someone who spent real money. Brands that treat it that way will build a picture of their retail customer that gets more accurate with every campaign they run.