FTC Proposes Rule Mandating Transparency for Personalized E-Commerce Pricing

The Federal Trade Commission has proposed a new rule requiring e-commerce platforms and retailers to clearly disclose when they use consumer data to alter prices. If enacted, shoppers will see a mandatory notification when an algorithm uses their browsing history, location, or demographic data to serve them a personalized price.[1][2]

The proposed policy, announced Wednesday, targets what the agency calls "surveillance pricing." While the FTC lacks the statutory authority to ban dynamic pricing outright, the rule leverages Section 5 of the FTC Act to classify undisclosed personalized pricing as an unfair and deceptive practice.[1][2]

"When consumers see a listed price, they expect it to be the same price that everyone else sees, not the retailer's estimate of how much they are willing to pay based on their personal data," FTC Chairman Andrew Ferguson stated in the announcement.[1]

The regulatory push follows a two-year investigation into the opaque market of pricing intermediaries. In July 2024, the FTC ordered eight major financial and technology firms—including Mastercard, JPMorgan Chase, and McKinsey & Co.—to turn over data on how their algorithmic pricing tools operate.[4][6]

Initial findings from that study, published in early 2025, revealed that retailers frequently track granular user behaviors to gauge price tolerance. Algorithms weigh factors ranging from a user's precise geolocation and purchase history to how long their cursor lingers over a specific product or whether they have a competitor's app installed on their device.[2][4]

Under the new framework, companies that represent a price as static while quietly tailoring it to the individual will face federal enforcement. Retailers must provide "clear and conspicuous" disclosures detailing exactly what data was acquired to determine the personalized offer.[2][3]

The federal proposal mirrors aggressive moves already underway at the state level. Over the past year, Maryland, Connecticut, and New Jersey have passed their own laws restricting or banning surveillance pricing, particularly in the grocery and food delivery sectors.[5][6]

New York enacted the Algorithmic Pricing Disclosure Act in late 2025, which survived a First Amendment challenge from retail lobbying groups. The state is now considering the One Fair Price Act, which would effectively ban the practice entirely.[5][6]

Industry advocates argue that algorithmic pricing often benefits consumers by automatically applying discounts, loyalty rewards, and targeted promotions. Retail groups warn that mandatory warning labels could confuse shoppers and force companies to undertake costly overhauls of their checkout systems.[5]

For consumers, the immediate takeaway is that price variability is increasingly tied to digital footprints. The FTC noted that transparency allows shoppers to alter their behavior—such as browsing in private modes, using virtual private networks, or abandoning retailers that heavily rely on surveillance pricing.[3]

The FTC's proposed policy is now open for a 30-day public comment period. If finalized, it will establish the first nationwide baseline for algorithmic pricing transparency, forcing a fundamental shift in how e-commerce platforms present their costs.[1][3]