FTC Targets Personalized Pricing Fueled by Consumer Data

The Federal Trade Commission (FTC) has taken a significant step toward regulating personalized pricing, proposing an enforcement policy statement on August 19, 2026. This move aims to curb the practice where retailers and third-party companies use collected personal data to adjust prices, discounts, or product placements for individual consumers.

While the FTC acknowledges it cannot ban personalized pricing in all scenarios, companies that fail to transparently disclose how consumer data impacts the prices seen online could face violations of federal consumer protection laws. This development comes amid growing concerns in Washington about the ethical implications of using granular personal information to influence purchasing decisions.

Personalized pricing differs from dynamic pricing, which adjusts costs based on broader market conditions like supply, demand, and time. Instead, personalized pricing leverages specific consumer data, potentially leading to different prices for the same product based on an individual's browsing history, purchase patterns, location, and even online behavior like mouse movements. Research has also indicated that pricing tools can engage in "price steering," a practice where the order of product displays is manipulated, potentially highlighting higher-priced items first, even if the listed prices remain unchanged.

FTC research has shown that pricing intermediaries can access detailed information about consumers, including their approximate location, browsing and shopping history, items left in online carts, demographic data, and purchase methods. This data can be combined with information from loyalty programs, ecommerce platforms, and data brokers, creating comprehensive consumer profiles.

Investigations into this practice have yielded concerning results. A study by Consumer Reports in June 2026 involving Uber and Lyft rides found significant price variations for similar routes, with a median gap of 42.4% between the lowest and highest prices. While the ride-sharing companies dispute these findings, stating they do not use personal data for fare personalization, the study highlighted that riders can receive markedly different prices.

Similarly, an investigation in December 2025 by Consumer Reports, Groundwork Collaborative, and More Perfect Union examined grocery items on Instacart. Their findings suggested that nearly three-quarters of tested items were offered at different prices to different shoppers, with average basket total variations of about 7%. Instacart has since stated that prices for the same item at the same store at the same time will now be consistent for all customers.

Concerns about online price personalization are not new. Research from 2014 identified evidence of price discrimination or personalized search results on several major retail and travel websites. A 2015 ProPublica investigation also found that The Princeton Review charged different prices for SAT tutoring packages based on ZIP codes, with a higher likelihood of being offered a higher price in areas with larger Asian populations.

In response to these practices, consumers can take steps to mitigate the collection of their personal data. These include checking prices before signing in or using guest checkout, rejecting optional tracking cookies, reducing data broker presence, and using private browsing windows. Consumers are also advised to review app tracking permissions, clear cookies periodically, compare prices across different platforms and apps, utilize price-history tools, read discount fine print carefully, and consider using a Virtual Private Network (VPN) to mask their IP address.

The FTC's proposed enforcement policy signals a move to increase transparency and accountability in online pricing, aiming to protect consumers from potentially unfair pricing practices driven by their personal data.