You and I could open the same shopping app, at the same minute, looking at the same pair of shoes, and see two different prices. Not because of a coupon. Not because one of us has a membership. Because the retailer ran the numbers on who we are and decided one of us would probably pay more.
The Federal Trade Commission has a name for this now. On August 19, 2026, the agency put out a proposed enforcement policy statement on what it calls personalized pricing, which is the practice of using your personal data to set a price based on what a company thinks you are willing to spend. The vote to seek public comment was 2-0, and once the notice hits the Federal Register the public gets 30 days to weigh in. FTC Chairman Andrew Ferguson framed the problem in plain language: when you see a listed price, you expect it to be the same price everyone else sees.
That is not always what is happening. And unlike most consumer finance stories, this one comes with a set of moves you can make this afternoon.
What Counts as Personalized Pricing, and What Does Not
Start with a distinction that matters, because retailers lean on it hard when anybody complains.
Dynamic pricing is when a price moves for reasons that apply to everybody. Airfare climbing as a flight fills up. Rideshare surge on a rainy Friday. Hotel rooms getting expensive during a convention. Annoying, sometimes expensive, but the price on the screen is the price for whoever loads the page.
Personalized pricing is different. It uses data attached to you specifically: your browsing history, your location, your device, your past purchases, whether you tend to comparison shop or buy the first thing you see. The FTC’s statement notes that consumers expect prices to move with supply and demand, not with their web surfing habits. A retailer who implies a price is fixed when it actually varies by shopper may be running afoul of the FTC Act’s ban on unfair or deceptive practices.
The agency was careful to say what it cannot do. It does not have the authority to ban personalized pricing outright. What it can go after is the hiding of it.
The States Moved First
New York got there ahead of Washington. Its algorithmic pricing disclosure law took effect in November 2025 and requires businesses that use consumer-specific personal data to set prices to post a conspicuous notice next to the price saying the price was set by an algorithm using your personal data. Civil penalties run up to $1,000 per violation.
California’s attorney general announced an investigative sweep in January 2026 aimed at businesses using surveillance pricing in ways that may run afoul of the state’s privacy law. And by April 2026, more than 40 bills across at least two dozen states had been introduced on the subject, with Maryland passing its own measure this year.
None of that puts money back in your pocket today. What it does tell you is that the practice is common enough that legislatures in half the country decided to write bills about it.
Six Habits That Take the Personalization Out of Your Price
Here is the part I find slightly funny: the FTC’s own statement points out that informed shoppers might use a virtual private network or a private browsing session to dodge a higher personalized price. When a federal agency is telling you to open an incognito window, the fix is not exotic.
Log out before you shop. A lot of the profile a retailer has on you is tied to your account. Browsing signed out, in a private window, strips away the easiest signals. Then compare that price to what you see logged in. If the numbers differ on a big purchase, you just learned something useful about that retailer.
Check the price on a second device. Phone versus laptop is the classic test, and travel sites have been caught at this for years. An iPhone and a Windows desktop tell a merchant two different stories about your budget.
Clear cookies, or use a browser that dumps them by default. Repeated visits to the same product page signal that you are hooked. Some pricing models read that as a green light.
Turn on Global Privacy Control in your browser. In states with privacy laws that recognize it, that signal functions as an opt out of the sale and sharing of your personal information, which is the raw material for a personalized price.
Use a price tracker instead of your memory. Tools like CamelCamelCamel for Amazon, or a site like Bankrate for rate comparisons on financial products, give you an outside reference point. A price only looks like a deal relative to something.
Buy in the store when the gap is real. Retail apps know far more about you than a register does. If the shelf tag beats the app, take the shelf tag, and ask about a price match if it goes the other way.
Where This Costs You Real Money
Small stuff first. Grocery delivery apps, food delivery, and ride-hailing all sit on rich behavioral data, and the markups there are already layered with service fees. Ordering the same meal from a laptop rather than a phone app has produced different totals often enough that it is worth thirty seconds of checking.
Travel is the bigger line item. Flights, hotels, and rental cars have used variable pricing longer than almost any other category, and the difference between a logged-in search and a clean one can run into real money on a family trip. Do both searches before you book.
Then there is the category people forget: insurance and subscriptions. Renewal quotes are frequently priced on the assumption you will not shop around. That is not personalized pricing in the FTC’s technical sense, but the underlying bet is identical, which is that inertia costs you nothing to charge for. Getting three auto insurance quotes at renewal is still one of the highest paying hours in personal finance.
The Quiet Advantage of Having Cash Ready
Every tactic above works better when you are not in a hurry, and being in a hurry is usually a money problem rather than a shopping problem.
When you have to buy the tires today, you take whatever price appears. When you can wait nine days for the sale, or walk out of the dealership, or shop three insurers before the policy renews, the pricing model has much less leverage over you. That is the real function of a cash cushion sitting in a savings account earning something reasonable. It buys you the ability to say no, which is the only negotiating position that consistently works against an algorithm.
If your emergency money is currently sitting in a checking account earning nothing, moving it to a high-yield savings account at an FDIC-insured bank costs you an afternoon and pays you every month afterward.
If You Think You Got the Higher Price
Screenshot both prices with timestamps. Then check the retailer’s price adjustment policy, since many will refund the difference within a set window if the price drops after you buy.
If you live in New York and see no algorithm disclosure on a price you have reason to believe was personalized, that is a matter for the state attorney general’s office. Anywhere in the country, you can report the practice to the FTC, and while comments on the proposed policy statement are open you can file one directly through regulations.gov.
The rules here are still being written. Your shopping habits do not have to wait for them.
