A receipt looks like trash because the customer already knows what happened.
To a data system, it can be an inventory of behavior.
Store name. Date. Time. Location. Products. Brands. Quantities. Prices. Discounts. Payment clues. Loyalty information. Sometimes addresses or order details.
Receipt-scanning reward apps offer something simple in exchange for that record:
Give us the receipt. We give you points.
That bargain is worth studying because the reward makes the value of purchase data unusually visible.
Fetch describes the exchange in its current privacy policy
Fetch’s privacy policy, revised January 22, 2026, says its service provides points and rewards for activities including uploading receipts, connecting digital receipts, completing surveys, shopping, and interacting with brand offers.
The policy says commercial information may include products a user scanned, purchased, searched for, or favorited, along with rewards, deals, coupons, location and app activity. It also says information may be disclosed to brand partners, service providers, and advertising platforms for purposes including personalized offers and advertising.
See Fetch’s current Privacy Policy.
Fetch also offers an eReceipt program in which users can connect email or digital consumer accounts so purchase information can be retrieved from electronic receipts. Its policy says those receipts may contain information such as billing or mailing addresses, name, payment method, and other order details.
The company describes consent and controls around those features in the same policy.
The reward is not free; neither is the data
Suppose a paper receipt says someone bought:
- diapers,
- cold medicine,
- dog food,
- a specific brand of coffee,
- three frozen pizzas,
- a bottle of shampoo.
The total is less interesting than the product-level record.
Repeat that every week and the receipts begin to describe brand loyalty, household composition, shopping frequency, store preference, price sensitivity, and changing consumption habits.
That does not mean every inference is correct.
A person may shop for a spouse, child, friend, workplace, party, or neighbor. One receipt is not a biography.
But repeated purchase records can become a valuable commercial dataset.
The honest framing is an exchange
Reward apps are not automatically deceptive merely because purchase data has value.
The customer gets something too: gift cards, cash-equivalent rewards, discounts, or points.
The important questions are whether the exchange is understandable and how far the data travels afterward.
A useful audit asks:
- What receipt fields are extracted?
- Are digital receipts pulled from connected email accounts?
- Are purchase histories shared with brands or advertising partners?
- Are sensitive categories treated differently?
- Can the user disconnect accounts or revoke consent?
- How long are records retained?
The Surveillance Economy often hides the price of data behind a free service.
Receipt apps make the trade easier to see.
The company is literally paying you for the evidence.