On January 17, 2025, the Federal Trade Commission announced that its surveillance-pricing study indicated a wide range of personal data was being used to set individualized consumer prices. On its website, the agency described information ranging from location and browsing history to mouse movements and abandoned shopping carts. The headline presented a current practice, not merely a future possibility: information about a shopper could shape the price tag that shopper encounters.
The published record supports a narrower conclusion. The FTC documented commercial capabilities and practices connecting consumer data with pricing and product targeting. It did not publish a transaction-level demonstration that different shoppers bought the same product at different prices because of their personal data.
What did the FTC collect?
On July 23, 2024, the FTC announced compulsory information orders to 8 companies, including Mastercard, JPMorgan Chase, Accenture, McKinsey, and pricing-service providers. The inquiry concerned intermediaries selling services to other businesses, rather than a sample of shoppers submitting receipts.
The orders sought information about products and services, data collection, customers, and effects on consumer prices. That scope matters. Asking what a system can do is different from asking whether a particular retailer used it, and different again from establishing what a customer ultimately paid.
The commission used Section 6(b) of the FTC Act, which authorizes reports and answers to specific questions about business practices. It was gathering information under statutory authority, not relying solely on vendors' public advertising. But the authority to demand evidence does not make every question in an order an established finding.
The January publication was an initial staff perspective from that inquiry, not a completed accounting of every transaction affected by the services examined.
What did the documents establish?
The staff perspective described intermediaries able to combine information about consumers with pricing and shopping decisions. Those decisions included prices, discounts, offers, and which products a consumer sees.
That is a substantive finding. A service that accepts information about a consumer and uses it to select an offer is not simply responding to the wholesale cost of merchandise. The consumer's characteristics or behavior become inputs into the commercial decision.
The January announcement also described the breadth of information available to these systems. Location, browsing activity, and shopping behavior can supply signals beyond the item a person wants to buy. The inquiry therefore concerned more than stores changing prices during a sale.
But these findings contain several different mechanisms. A different discount can change the amount due. A different product recommendation can change the item selected. A different ranking can change which alternatives receive attention. The staff perspective examined all of them; they do not all establish a different charge for the same item.
Where does the evidence stop?
The staff perspective expressly says its examples are hypothetical, drawn from the reviewed material to avoid disclosing confidential commercial information. They explain how the systems work without identifying the underlying confidential business arrangements.
That qualification belongs beside the findings, not underneath an accusation against a particular retailer. An illustrative example can accurately describe a documented capability without being a disclosed account of a completed purchase.
Federal law supplies context for that presentation. Section 21 of the FTC Act protects qualifying trade secrets and confidential commercial or financial information obtained by the commission. The agency cannot treat every compelled submission as material it may freely publish.
Confidentiality does not show that the underlying evidence is weak. Nor does it allow readers to assume that undisclosed documents prove the strongest possible version of the headline. The public record must carry the public conclusion. Here, the publication does not provide the matched transaction evidence needed to attribute different completed charges to personal data.
Which price are we discussing?
The OECD's 2018 paper, “Personalised Pricing in the Digital Era,” distinguishes personalized pricing from dynamic pricing. The first turns on information about customers or customer groups. The second can respond to conditions such as demand or timing without identifying the individual buyer.
That distinction sets a useful evidentiary test. Different prices at different times do not, by themselves, establish personalization. Neither do different prices for different products.
Product steering creates another distinction. Showing one shopper an expensive item and another shopper a cheaper alternative can affect spending without changing either item's price. The FTC's January material includes this kind of targeting within its examination of surveillance-pricing services.
Discounts deserve separate treatment too. If personal information determines who receives a coupon, the resulting net price can differ even when the advertised price remains unchanged. Calling that merely marketing would miss the financial consequence. Calling every personalized recommendation an individualized charge would make the opposite mistake.
The amount displayed, the product offered, and the amount paid are related facts. They are not interchangeable evidence.
What do the vendors acknowledge?
The companies' own product materials help establish that the inquiry concerns an existing commercial market. Dynamic Yield markets personalization across digital customer experiences, including product recommendations. Revionics markets retail price optimization. PROS markets pricing and revenue-management products.
These are distinct services. Their public descriptions corroborate the existence of tools for selecting experiences, optimizing prices, and managing commercial offers. They do not independently establish that a named merchant charged 2 identifiable shoppers different amounts for an identical purchase because of personal information.
This is also why the FTC's compelled submissions matter more than a collection of product pages. The orders sought information about customers and actual uses, alongside descriptions of the technology. A vendor's capability is one part of the inquiry. Its customer's deployment is another. The resulting consumer transaction is a third.
The January materials establish connections between data and commercial decisions. The public vendor pages support that commercial context, not a receipt-level finding.
What would prove the stronger claim?
A persuasive demonstration would connect the consumer information, the pricing decision, and the completed charge. It would identify the same product under comparable purchasing conditions and show why personal data, rather than timing, delivery terms, or another difference, produced the different amount.
That need not mean publishing shoppers' names. Anonymized transaction records and a documented pricing rule could establish the connection. A system configuration alone would establish less: it would show what the merchant instructed the system to do, not necessarily what purchasers paid.
There is a separate legal boundary. Section 5 of the FTC Act prohibits unfair or deceptive acts or practices. The January staff perspective was not an adjudicated finding that a named retailer's individualized prices violated that provision. A market study, a demonstrated pricing practice, and a legal violation require different records.
Did the FTC prove it?
No, not if “prove” means publicly demonstrating that shoppers completed purchases of the same product at different prices because of their personal data. The FTC established a real commercial connection between consumer information and pricing, discounts, and product selection. That is more than speculation about what software might someday do. It is less than a documented finding of individualized amounts paid.
