FTC Signals Personalized Pricing May Be Illegal Deception; Extends Public Comment Period

The Federal Trade Commission has extended the public comment period for its proposed enforcement policy on personalized pricing to September 25, 2026, signaling an aggressive new regulatory stance against undisclosed algorithmic pricing. The agency warns that using consumer data to set individualized prices without clear disclosure could violate Section 5 of the FTC Act, which prohibits deceptive or unfair practices. The move represents a significant escalation in the federal government's effort to police how modern data collection intersects with consumer costs, targeting a practice that has quietly become a cornerstone of digital retail and targeted marketing. By extending the deadline, the FTC is ensuring that both consumer advocates and industry representatives have sufficient time to submit evidence on a policy that could force sweeping changes to how prices are displayed online.[1][2][4]

The extra time, granted on September 3, 2026, shifts the original September 18 deadline, giving businesses and consumers an additional seven days to weigh in on a policy that could fundamentally alter retail, travel, and food delivery pricing. The extension follows a petition from industry groups, including the National Association of Convenience Stores, which had requested a 60-day delay to evaluate the operational impacts on loyalty programs and discount structures. While the FTC acknowledges it lacks the statutory authority to ban personalized pricing outright, the proposed framework establishes a strict disclosure baseline. The agency's goal is not to eliminate the practice, but to strip away the secrecy that currently surrounds it, ensuring that shoppers know exactly when and why their personal data is being used to dictate the price they pay at checkout.[1][5]

Personalized pricing—sometimes referred to by critics as "surveillance pricing"—differs fundamentally from dynamic pricing, which adjusts costs based on broad market conditions like supply and demand or regional taxes. According to the FTC's August 19, 2026, proposal, which advanced on a 2-0 commission vote, personalized pricing relies on individual consumer data to estimate a specific buyer's maximum willingness to pay. For example, a travel website might quote a higher hotel rate to a user searching from a high-income ZIP code, or a retailer might offer a different price to a mobile user than a desktop user based on their browsing history. The FTC distinguishes these practices from inherently individualized products, such as insurance premiums or credit rates, where consumers already expect their personal risk profiles to dictate the final cost.[2][4][5]

Under the FTC's proposed guidance, businesses operating in sectors where consumers reasonably expect uniform pricing must clearly and conspicuously disclose three specific details before a transaction occurs: the fact that the price is personalized, the basis for the personalization, and the specific types of data used to set the price. The agency argues that failing to provide this information deprives consumers of the ability to make informed choices. Without these disclosures, a shopper cannot effectively comparison shop, deploy countermeasures like a virtual private network, or simply choose to walk away from a retailer that leverages their data against them. The FTC asserts that this omission is material, meaning it directly influences the consumer's purchasing decision and therefore qualifies as a deceptive practice under federal law.[2][4]

"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 agency's release. The regulatory push comes as retailers increasingly adopt sophisticated algorithmic tools to optimize margins and drive customer loyalty. Industry advocates argue that personalized pricing often benefits consumers through targeted discounts, tailored promotions, and loyalty rewards that lower the cost of everyday goods. However, the FTC contends that when the practice is concealed, it causes substantial injury by tricking consumers into paying more than they otherwise would, effectively penalizing them for their digital footprints without their knowledge or consent.[5]

The proposed policy statement does not create new legislation, but it serves as a formal, highly visible warning of the FTC's immediate enforcement priorities. Legal experts at Nixon Peabody LLP note that the agency is relying on its existing authority under Section 5 to police the digital marketplace, effectively bypassing the need for new congressional action. By framing undisclosed personalized pricing as a deceptive or unfair practice, the FTC is putting in-house legal teams, marketing departments, and third-party pricing vendors on notice that aggressive enforcement actions are likely to follow. The guidance suggests that the agency will not hesitate to pursue companies that fail to implement robust transparency measures, shifting the federal baseline from a hands-off approach to one of mandatory disclosure.[2]

The federal initiative mirrors a rapidly growing trend at the state level, where lawmakers are already moving aggressively to restrict algorithmic pricing. Maryland recently enacted the Protection from Predatory Pricing Act, which prohibits certain personalized pricing practices in the grocery sector and third-party food delivery services, with an effective date of October 1, 2026. Meanwhile, states like New Jersey, New York, and Connecticut have advanced similar legislation or amended their existing data privacy laws to impose strict disclosure mandates and substantive bans on surveillance pricing. This patchwork of state regulations is creating a complex compliance landscape for national retailers, making the FTC's federal guidance a critical focal point for businesses seeking a unified standard.[2]

For businesses, the compliance burden introduced by these shifting expectations could be significant. Companies that rely heavily on loyalty programs, targeted marketing campaigns, and data-driven pricing models will need to comprehensively audit their practices to ensure they meet the FTC's proposed disclosure standards. This includes evaluating not just their own internal algorithms, but also the practices of third-party vendors that supply pricing software and data analytics. The extended comment period offers a brief but vital window for stakeholders to submit evidence, raise operational concerns, and attempt to shape the final policy before the agency closes the docket and begins its anticipated enforcement sweep across the retail sector.[2][3][4]