If your ecommerce store adjusts prices based on customer data, the FTC wants you to be ready to explain yourself.
The agency proposed a new enforcement policy on Aug. 19, 2026, putting personalized pricing practices on notice. It does not seek to ban the practice. The FTC says it lacks authority to do that. What it does signal is that transparency may become a requirement, not a courtesy.
What the Policy Targets
The core concern is accountability. When a seller uses customer data to set individualized prices, the FTC is signaling that sellers may need to disclose when and how that data influences what a specific customer sees.
The data sourcing question is where it gets complicated for operators. If your pricing engine uses data acquired from a third party, assuming the consumer already consented to that data being used for pricing purposes may not hold up. The FTC’s position is that third-party data consent does not automatically transfer to new use cases like pricing.
The Operator Takeaway
For solo operators and small ecommerce teams, the practical exposure depends on how sophisticated your personalization actually is. Basic segmentation (loyal customers get a discount code) is a different conversation from dynamic pricing algorithms that adjust in real time based on browsing behavior, location, or purchase history pulled from a data broker.
The policy is still a proposal, not a final rule. But it signals the direction of regulatory pressure: if you are using customer data to price differently for different people, document the consent trail and be ready to explain the logic.
Watch for the final policy language before making changes to your stack, but now is a reasonable time to audit what data feeds your pricing decisions and where that data came from.
