FTC's Personalized Pricing Announcement Signals Enforcement Crackdown Is Coming

By
Partner

On August 19, 2026, the Federal Trade Commission announced it is seeking public comment on a draft enforcement policy statement addressing personalized pricing positioning the move as “the latest in a series of actions by the Commission… against businesses that mislead consumers with hidden fees and surprise charges.”

Businesses that use customer data to implement dynamic surveillance pricing have a narrow thirty-day window to get their disclosures in order before this policy becomes final and deceptive advertising enforcement actions start rolling in.

Learn more about FTC compliance and advertising law in the Essential Guide to FTC Compliance, Investigations, and Enforcement.

What the FTC Announced

The FTC requested public comment on a proposed enforcement policy statement which defines personalized pricing plainly:

Personalized pricing is the use of personal data to set prices according to the amount that a company believes an individual consumer is willing to spend.

Chairman Andrew Ferguson clarified the agency's intent in the statement, saying "Businesses that fail to tell consumers how their personal data is being used to set a price may be in violation of the FTC Act and other laws we enforce," Ferguson said. He added that the draft statement "would put businesses engaged in or considering personalized pricing on notice.”

A request for public comment might sound like the least dramatic thing a federal agency can do, but this FTC settled multi-million dollar cases against GrubHub, Instacart, and StubHub in under eighteen months in response to an inquiry into delivery fees, and it has a sitting chairman who has promised aggressive enforcement against exactly this practice. This announcement is likely to be the opening chapter of an enforcement story in which the agency puts an industry on notice, collects input to build its record, and then starts bringing cases.

When Personalized Pricing Crosses Into Deception

The draft statement leans on the FTC's traditional three-part deception test: is there a representation or omission likely to mislead a reasonable consumer, and is that misrepresentation material enough to cause injury?

Applied to pricing, this means a retailer that implies its listed price is static or universally offered, when it is actually personalized to that specific shopper, may be committing a deceptive act under Section 5 of the FTC Act.

Examples of Pricing That May be Flagged as Deceptive

  • A food delivery company charging more to someone whose data suggests they are homebound.
  • A grocery chain charging extra for milk because a household appears to have children.
  • A hotel raising its rate because a consumer's data suggests they are traveling for a funeral.
  • A rideshare company charging more because a user has not installed a competitor's app, or because their data suggests a medical emergency.

When Personalized Pricing Becomes Unfair

Separately, the statement addresses the FTC's unfairness standard: a practice is unfair if it causes substantial injury, that injury is not reasonably avoidable, and it is not outweighed by countervailing benefits.

It says that when a business conceals the fact that pricing is personalized, consumers cannot take steps to avoid the higher price, whether that means using a VPN, browsing privately, or simply shopping elsewhere. That inability to self-protect is what tips concealed personalized pricing into unfair territory, separate and apart from any deception analysis.

For an online retailer, ask what a reasonable customer thinks the number means. Does the interface imply everyone sees the same price? Could browsing history, location, or sensitive inferences affect the offer? Can a customer correct bad data or choose a non-personalized option?

What Dynamic Pricing Disclosure Looks Like

Here is where the FTC gets specific, and where compliance teams should be paying the closest attention. The draft statement says that a vague disclosure, like telling a shopper they are seeing a "specially selected" price, is not good enough. Instead, an adequate disclosure needs to state that the price is personalized, explain the basis for the personalization, and identify the type of data used to calculate it.

Fails the FTC Standard 

Meets the FTC Standard 

Vague "special" framing: "You're seeing a specially selected price for this item." Never says the price is personalized, what caused it, or what data was used. 

States it's personalized: "This price is personalized based on your estimated willingness to pay." Clearly discloses that this shopper's price differs from others. 

Silent personalization: Price displayed as a standard, one-size-fits-all listing. Implies the price is static or widely offered when it actually varies by shopper. 

Explains the basis: "The estimate reflects your previous purchases from our store." Tells the consumer why they're seeing this price, not just that it varies. 

Generic fine print: "Prices may vary based on a number of factors." Too vague to let a consumer identify or dispute the data behind their price. 

Names the data source: "...based on purchases made through your account login." Identifies the specific data type, letting consumers dispute or opt out. 

What This Means for Businesses Using Dynamic Pricing

Audit Your Pricing Algorithm Before the FTC Does. If your business uses any form of dynamic pricing, whether that is a full-blown personalization engine or something as simple as showing different promo codes to different site visitors, now is the moment to take inventory. Ask yourself: does our pricing vary by individual customer based on their data? If so, would a reasonable customer expect that? And critically, do we tell them?

You do not want the first time you answer these questions to be in response to a Civil Investigative Demand.

Pricing Disclosure Is the Best Insurance Policy

The FTC's own draft statement practically hands businesses the answer to compliant disclosure. Say plainly that the price is personalized. Explain what it is based on. Name the type of data used. That is a fairly low bar compared to the cost of a settlement, a consumer redress fund, or years of litigation. Think of disclosure less like a legal chore and more like a seatbelt: cheap, simple, and the thing that saves you when things go sideways.

How to: FTC Compliant Pricing Disclosures

  • map every place price varies by customer
  • identify the data driving that variation
  • draft a clear disclosure naming the basis and data type
  • place the disclosure where consumers will actually see it before they pay
  • document consent for the underlying data use

How Kronenberger Rosenfeld Can Help

Personalized pricing sits squarely at the intersection of advertising law, data privacy, and FTC enforcement defense, which is where our firm has spent decades building expertise. Whether you need help auditing a pricing model before it draws scrutiny, responding to an FTC inquiry that has already landed, or simply want a second set of eyes on your marketing disclosures, our FTC compliance and FTC defense teams have extensive experience. Businesses navigating broader advertising compliance questions may also find our advertising law practice useful, and our Essential Guide to FTC Compliance, Investigations, and Enforcement is a solid starting point if you want the fuller regulatory picture beyond this single announcement.

Businesses that use customer data to shape prices have a narrow thirty-day window to get their disclosures in order before this policy becomes final and the enforcement actions start rolling in.

This entry was posted on Thursday, August 27, 2026 and is filed under News, Internet Law News.



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