The Same Cart. A Different Price.
Same item. Different offer. As retailers use more personal data to shape prices, the deal in your cart may depend on what they think you’ll pay.
By Maya Chen | Future Tense
Imagine you and a friend open the same shopping page. Same item. Same afternoon. You get one offer; your friend gets another.
That difference would not, by itself, prove anyone was watching you. A sale could have ended. One of you might have a loyalty discount. But there is another possibility: the price or promotion was shaped by what a company knows, or thinks it knows, about each of you.
The Federal Trade Commission calls this surveillance pricing. The unsettling question is simple: What happens when a price stops belonging to the product and starts belonging to the person buying it?
Your shopping history has a price tag
Retailers have long changed prices. Airlines adjust fares. Stores run local promotions. A discount expires at midnight. Those are forms of dynamic pricing: the offer changes with circumstances such as time, demand or location.
Personalized pricing goes further. It uses information about a shopper to estimate which offer that person might accept.
In its initial surveillance-pricing findings, the FTC said pricing intermediaries can draw on browsing history, shopping behavior, demographics and precise location. Even mouse movements and items left in an online cart can be tracked and used to tailor pricing. The agency also found tools capable of offering individualized discounts or placing higher-priced products in front of certain shoppers.
That does not mean every retailer is charging every customer a secret personal price. The FTC’s public examples were hypothetical, and its study examined companies that provide pricing tools rather than publicly identifying which stores used a particular tactic on a particular shopper. The distinction matters. Suspicion is easy; proof of why a price changed is much harder.
The problem with an invisible bargain
A personalized offer might save you money. A store could decide that you need a discount before you will buy. It could also decide you are likely to pay more, or show you more expensive choices first.
Either way, the shopper cannot judge a deal fairly without knowing what is being compared. “Twenty percent off” sounds generous. Twenty percent off which starting price? And would someone else have seen a better offer without surrendering a trail of personal information?
This is a more consequential version of something we already see online. In our look at everyday AI, we noted how retailers use searches, purchases and abandoned carts to predict what we might want. The next question is whether those predictions help decide what we pay.
The FTC raised that issue again in August 2026 when it sought comment on a proposed enforcement policy statement. The agency said businesses could risk misleading customers if they imply a price is the same for everyone while quietly changing it according to personal data. The statement is a proposal, and the FTC said it lacks authority to ban personalized pricing in every circumstance.
What can you actually do?
You do not need to conduct a detective operation before buying a toaster. You can, however, make it harder for one seller’s offer to define what you think the item is worth.
Compare the exact model at more than one retailer, including shipping and fees. The FTC’s online shopping guidance recommends checking the total cost and looking for a seller’s price-matching policy. A price alert can also show whether today’s “deal” is unusually good or merely today’s number.
For a purchase that matters to your budget, you can also look while signed out or in a private browsing window and compare that offer with the one in your account. Treat a difference as a reason to investigate, not proof of surveillance pricing. Private browsing does not make you invisible, and a retailer may still use other signals, including location.
Finally, review the location and privacy permissions you give shopping apps. The FTC notes that apps can collect information about what, when and where you buy, and recommends using your phone’s settings when you do not want an app to track your location.
Those apps are not merely coupon folders. As our closer look at what grocery loyalty programs know about you explains, they can connect purchases, locations and household inferences into detailed shopper profiles.
You may never know exactly how a particular price was chosen. That is the point. A marketplace works better when shoppers can compare offers, and when a price does not come with an invisible question about who the shopper is.
For a closer look at how one major retailer is responding to those concerns, read Walmart Says It Won’t Price You Personally. Should Shoppers Believe It?
