Growing consumer backlash and state-level initiatives have put a spotlight on the fairness of data-driven price discrimination, prompting the Federal Trade Commission (FTC) to seek public comments on the practice of personalized pricing.
The FTC is actively reviewing how businesses use personal information to adjust pricing for individuals, with concerns about possible risks and consequences. Through its formal request for input, the agency highlights concerns over the increasing use of consumer data to customize prices, reflecting the momentum for new regulatory approaches.
Mounting Pressure from the FTC and Legislators
On August 19, FTC Chairman Andrew Ferguson addressed public unease, remarking that consumers expect the price they see to match what everyone else pays, and not be determined by calculations based on their personal data. This public reaction arrived soon after the FTC put forth an enforcement policy proposal that considers both personalized and surveillance pricing tactics.
Though a direct ban on personalized pricing remains outside the FTC’s current power, the agency reminded companies that failing to reveal how they leverage consumer information in pricing could breach Section 5 of the FTC Act and related laws. This regulatory warning emerges amid heightened consumer frustration with secretive or unfair individual price differences.
State governments are entering the debate as well. In Maryland, new restrictions target surveillance pricing, while Connecticut implemented an outright ban. Citing research from Holland & Knight, over 40 surveillance pricing bills have surfaced in more than two dozen states, signaling a broad trend toward legislative intervention.
AI-Enabled Dynamic Pricing Grows
Artificial intelligence increasingly drives pricing that factors in variables like consumers’ devices, whereabouts, shopping behaviors, financial background, and even credit score, reports Jeannie Walters, Experience Investigators’ founder. Industries such as grocery retail, ride-hailing, travel, and hotel bookings commonly utilize these AI-powered systems.
Several high-profile examples demonstrate just how significant the price swings can be. An investigation from Consumer Reports and Groundwork Collaborative revealed that Instacart customers paid up to 23% more or less for the same grocery items, depending on their profile. In response, Instacart discontinued the technology that enabled real-time individual price adjustments for grocers. A separate study of Uber and Lyft found a median difference of about 42% between riders paying the highest and lowest fares for identical trips.
Walters observes that customers booking identical rides or hotels from the same starting point can still see radically different prices. “A group of five people could see five different prices, even from the same place to the same destination,” she emphasized.
Demand for Transparency and Equity
Public surveys indicate persistent mistrust: the 2024 Consumer Reports study showed that close to two-thirds of U.S. consumers oppose the concept of tailored pricing. Walters points out that trust is eroded quickly when customers feel confused or exploited by unclear pricing, with research suggesting that hidden price tactics can even suppress consumer purchasing. She sums up, “People want to be treated fairly. Different prices for the same things feels inherently unfair.”
Examining scenarios that highlight possible abuse, the FTC described cases such as a delivery app charging higher prices to homebound users, hotels inflating rates when a guest’s data suggests urgent need, or retailers raising prices on security products after a customer experiences a break-in. These examples, documented in FTC materials, underline the risks to consumers.
Expert Jon Picoult of Watermark Consulting encourages brands to build trust over time, rather than chase quick gains from variable charges. “If your pricing strategy leaves customers feeling exploited, it’s not going to end well for you,” he warns, stressing the value of fair and open policies for both shoppers and policymakers.
Walters also warns companies that simply deploying automated price-setting tools isn’t enough—they must monitor their systems and verify fairness, rather than relying on federal compliance timelines or leaving the results solely in the hands of algorithms.
With state legislatures showing increased interest and the FTC considering public sentiment, scrutiny of personalized pricing is set to escalate, leaving consumers, companies, and regulators eager to see how future oversight will evolve.