The Federal Trade Commission is seeking public comment on a proposed enforcement policy statement targeting personalized pricing, the practice of using a consumer’s personal data to set a price based on how much a company believes that specific person is willing to pay. Announced August 19, 2026, the statement puts businesses on notice that undisclosed use of personal data to set individualized prices can violate the FTC Act’s ban on unfair or deceptive practices. The commission voted 2-0 to move the statement forward, with a 30-day comment period once it publishes in the Federal Register.
Why it matters for the marketing leader: personalized pricing sits directly downstream of the customer data infrastructure marketing and growth teams already run. Loyalty data, browsing history and CDP-fed segments that were built for personalized offers and messaging are the same signals a pricing engine could use to set a personalized price, and the FTC is now saying that using them that way without disclosure carries legal exposure. “When consumers see a listed price, they expect it to be same price that everyone else sees, not the retailer’s estimate of how much they are willing to pay based on their personal data,” said FTC Chairman Andrew Ferguson.
The original insight: this draws a legal line between using customer data to personalize what a shopper sees and using it to personalize what a shopper pays, a distinction most martech stacks were not built to enforce because the same data pipeline typically feeds both. Marketing and data teams should audit whether any pricing, discounting or dynamic-offer logic touches personal data in ways that were disclosed only for content or ad personalization, the same governance gap regulators flagged when the FTC drew a similar line around health data feeding ad targeting, and the kind of exposure that has already produced real penalties, as with California’s first fine against a data broker under its privacy laws.
Source: Federal Trade Commission
