FTC's 'personalized pricing' draft turns a PR problem into a data-lineage obligation

Read literally, the obligation in the draft is a data lineage problem before it is a legal one. Consumer Reports, summarizing the proposal, says companies should give detailed disclosures when personal data sets an individualized price, including which pieces of data about a consumer were used to modify that price ^[13]. A team that can serve a personalized price but cannot say, per transaction, which features moved it has a gap between what its model does and what its disclosure would have to claim.

The baseline being measured against is an expectation, not a margin. Chairman Andrew Ferguson said new industries are tracking customers to set individualized prices, blindsiding shoppers who assume a listed retail price is "the same price that everyone else sees" ^[7]. That is a deception theory, which is why Consumer Reports reads the draft as making undisclosed personalization a likely Section 5 violation ^[13]. Because the agency also says it lacks authority to ban the practice outright ^[2], the enforceable object is the disclosure rather than the price spread ^[1]. Consumer Reports goes further and wants shoppers told whether the price they see sits above or below the original or average price ^[14], which is a calculation on a firm's own price distribution and a number most pricing stacks do not currently expose to the buyer.

The rename does not narrow the definition. The FTC's own description of personalized pricing is a business using a customer's personal data to determine the highest price that person might be willing to pay ^[4]. Gizmodo's observation concerns who repeats the label: CBS News and PBS had used "surveillance pricing" as recently as last month and in December 2025, and both switched after the announcement, as did Consumer Reports in a statement criticizing the FTC for not going far enough ^[5]. What survived the vocabulary change is the conduct rule.

Then the evidence. The FTC says personalized pricing is already common in some industries ^[9] while also saying it is unclear how many businesses use it and that little economic research exists on consumer impact ^[10], so the guidance is arriving ahead of the measurement ^[2]. What the agency does cite points one way: profits are likely to rise, gains to some consumers come with losses to others, and the more sophisticated the practice, the less likely consumers benefit ^[11]. It also warns that data-driven pricing could prop up monopolists by ending a history of relatively limited price variation from one consumer to the next ^[18]. Against that, critics in Ars Technica's account worry the limits will kill discounts people depend on or raise prices instead ^[17].

The visible artifact remains last year's: Instacart was criticized in 2025 for charging some customers up to nearly 25 percent more for the same item ^[15]. Under this draft, a spread of that size is not itself the violation; failing to tell the shopper which data produced it is. Worth noting that the same administration killed the Biden-era FTC study of the practice in 2025 ^[6], and is now proposing enforcement guidance while conceding the research base is thin ^[10].