FTC Moves to Regulate 'Surveillance Pricing,' Mandating Disclosure of Data Used to Set Individual Prices
A new Federal Trade Commission policy will require retailers to explicitly disclose when and how they use consumer data to generate personalized prices.
By Tiago Sousa
- Legal and Regulatory Analysts
- Focus on the compliance burden and the legal mechanisms the FTC is using to enforce transparency.
- Consumer Advocates
- Argue that disclosure is insufficient and demand an outright ban on surveillance pricing.
- Retail Industry
- Contend that algorithmic pricing often benefits consumers and that mandatory warnings will cause unnecessary alarm.
For years, a quiet tug-of-war has played out in online shopping carts and retail aisles: consumers expect the price they see to be the same price everyone else sees, while retailers increasingly use vast troves of personal data to charge each shopper exactly what an algorithm calculates they are willing to pay. Now, the federal government is stepping in to resolve the opacity. On August 19, the Federal Trade Commission (FTC) released a proposed enforcement policy statement targeting "surveillance pricing," mandating that businesses explicitly disclose when and how they use consumer data to set individualized prices.[2][4]
The immediate takeaway for shoppers is a looming shift in price transparency. If the policy is finalized after its September 18 public comment period, retailers, delivery apps, and hospitality platforms will no longer be able to quietly adjust prices based on your zip code, browsing history, or income proxies. Instead, they must clearly and conspicuously disclose three things at the point of sale: that the price is personalized, the basis for that personalization, and the specific types of data used to generate it.[1][6]
The FTC's move relies on Section 5 of the FTC Act, which prohibits unfair or deceptive practices. The agency argues that because consumers operate under the baseline assumption of uniform pricing, failing to disclose individualized price adjustments constitutes a material omission. Simply labeling a price as "specially selected" or "personalized" will not suffice under the new rules; companies must provide actionable context, such as explicitly stating that a price was adjusted based on a user's recent purchase history or their geographic distance from a competitor's physical store.[1][4]
The FTC's proposal outlines specific scenarios that would trigger enforcement. For example, the agency highlighted the deceptive nature of a food delivery platform charging higher fees to consumers its algorithm identifies as less able to leave their homes, or a retailer inflating prices for users browsing from affluent zip codes. By forcing companies to disclose these data inputs, the FTC aims to give consumers the information necessary to take protective measures, such as using a virtual private network, browsing in private modes, or simply taking their business to a competitor with static pricing.[1][4]
The FTC's proposal outlines specific scenarios that would trigger enforcement.
This regulatory push stems from a sweeping 2024 FTC inquiry into eight major pricing algorithm intermediaries, including Mastercard, McKinsey, and Revionics. Initial findings published in early 2025 revealed the staggering granularity of modern dynamic pricing. Retailers were found to be tailoring prices based not just on broad demographic data, but on real-time behavioral signals as precise as a user's mouse movements on a webpage or the specific items left abandoned in a digital shopping cart.[2][6]
However, the FTC acknowledges a critical limitation: it currently lacks the statutory authority to ban personalized pricing outright. The federal proposal focuses entirely on disclosure, leaving a patchwork of state legislatures to pursue stricter bans. Maryland and New Jersey have already enacted laws prohibiting surveillance pricing for groceries and food delivery, while New York recently passed a sweeping algorithmic pricing disclosure act that carries civil penalties of $1,000 per violation.[4][5][7]
For the retail and tech sectors, compliance will require a massive overhaul of e-commerce infrastructure and point-of-sale systems. Businesses that rely on dynamic pricing algorithms will need to integrate real-time disclosure mechanisms directly into their checkout flows. Legal analysts warn that the FTC's policy will also arm consumers and state attorneys general with a clearer framework to pursue private litigation against companies that obscure their pricing mechanics.[2][5]
As the September deadline for public comment approaches, the battle lines are solidifying. Consumer advocates are pushing for Congress to grant the FTC the power to ban the practice entirely, while retail associations argue that algorithmic pricing frequently delivers targeted discounts that benefit loyal shoppers. Regardless of the final text, the era of the invisible price tag is rapidly closing, forcing businesses to finally show their math to the consumer.[3][7]
The stakes
If finalized, this rule ends the era of invisible price discrimination, allowing you to see exactly what data a retailer is using to calculate your price—and giving you the information needed to opt out or shop elsewhere.
The essentials
- The FTC proposed a new enforcement policy mandating that businesses disclose when they use consumer data to set personalized prices.
- Retailers must clearly state that a price is personalized, the basis for the adjustment, and the specific data used.
- The policy targets "surveillance pricing," where algorithms use metrics like browsing history or location to gauge a shopper's willingness to pay.
- The FTC lacks the authority to ban the practice entirely, but asserts that hiding it violates deceptive practice laws.
- Several states, including Maryland, New Jersey, and New York, have already passed their own bans or disclosure laws regarding algorithmic pricing.
Timeline
July 2024
The FTC launches a sweeping inquiry into eight major pricing algorithm intermediaries to study surveillance pricing.
January 2025
Initial FTC findings reveal retailers use granular data, including mouse movements, to set individualized prices.
August 2026
The FTC releases its proposed enforcement policy, mandating clear disclosures for personalized pricing.
Perspectives explored
Consumer Advocates
Privacy and labor groups argue that disclosure is insufficient and demand an outright ban on surveillance pricing.
Organizations like the UFCW argue that simply telling a consumer they are being subjected to surveillance pricing does not protect them from its predatory effects. They point out that shoppers with limited choices—such as those living in areas with only one grocery store—cannot meaningfully opt out of purchasing necessities, regardless of what the disclosure says. These advocates are pushing for federal legislation to ban the practice entirely, arguing that basic goods should not fluctuate in price based on a consumer's data profile.
Retail and Tech Industry
Industry groups contend that algorithmic pricing often benefits consumers and that mandatory warnings will cause unnecessary alarm.
Retail associations argue that dynamic and personalized pricing models are frequently used to deliver targeted discounts, loyalty rewards, and promotional offers that save shoppers money. They warn that forcing businesses to display ominous warnings about algorithms and personal data at checkout will mislead consumers into assuming they are being overcharged. Furthermore, industry representatives caution that the massive IT investments required to integrate these disclosures into point-of-sale systems will ultimately drive up operational costs, which could be passed on to the consumer.
Federal Regulators
The FTC maintains that hidden personalized pricing is a deceptive practice that deprives consumers of market transparency.
While the FTC acknowledges it lacks the statutory authority to ban personalized pricing across the board, the agency insists that opacity in pricing violates Section 5 of the FTC Act. Regulators argue that because consumers operate under the baseline assumption that prices are uniform, secretly altering those prices based on behavioral data is a material omission. By mandating disclosure, the FTC aims to arm consumers with the knowledge needed to take protective measures, such as using privacy tools or choosing to shop at competitors with static pricing models.
Sources
[1]Fisher PhillipsLegal and Regulatory AnalystsFeds Propose New Disclosure Rules for Personalized “Surveillance” Pricing; Businesses Can Comment by Sept 18
Read on Fisher Phillips →
[2]Davis+Gilbert LLPLegal and Regulatory AnalystsFTC Proposes Enforcement Policy Statement Regarding Personalized Pricing
Read on Davis+Gilbert LLP →
[3]UFCWConsumer AdvocatesUFCW Statement on FTC Action Regarding Surveillance Pricing
Read on UFCW →
[4]Hunton Andrews KurthLegal and Regulatory AnalystsFTC Proposes Enforcement Policy Statement on Personalized Pricing
Read on Hunton Andrews Kurth →
[5]SkaddenLegal and Regulatory AnalystsFTC Issues Proposed Enforcement Policy Statement on Personalized Pricing
Read on Skadden →
[6]Morgan LewisLegal and Regulatory AnalystsFTC Proposes Enforcement Policy Statement on Personalized Pricing
Read on Morgan Lewis →
[7]Ballard SpahrLegal and Regulatory AnalystsFTC Proposes Enforcement Policy on Personalized Pricing as States and Congress Move Toward Broader Restrictions
Read on Ballard Spahr →
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