Privacy6 min read

What Is Surveillance Pricing? How Your Data Sets the Price You Pay

By Scott, Clearfront founder

Surveillance pricing is the practice of using your personal data, your location, browsing history, purchase record and even your mouse movements, to set the price you personally are shown for a product. It is mostly legal in the US today, the FTC has documented how it works, and on August 4, 2026 a Senate subcommittee spent a hearing agreeing across party lines that it should stop. Here is how it works, whose data feeds it, and what you can actually do about it.

What is surveillance pricing?

Surveillance pricing means a company estimates what you, specifically, are willing to pay, and prices accordingly. Two people buy the same product from the same site in the same minute and see different numbers. The estimate is built from personal data: where you are, what you have bought before, what you browsed and abandoned, what device you are holding.

It is not the same as dynamic pricing. Dynamic pricing moves with demand and shows everyone the same higher price at the same moment, the surge fare model. Surveillance pricing moves with you.

What data sets the price you see?

The best documentation is the FTC's own study. In July 2024 the agency ordered eight intermediary firms, including Mastercard, Accenture, McKinsey, PROS, Bloomreach and Revionics, to hand over details of the pricing tools they build for retailers. The initial findings, published in January 2025, describe granular inputs: precise location, browser history, demographics, purchase history, and behaviour as fine as mouse movements on a page and the products left in an abandoned cart.

The structure matters as much as the inputs. These systems are built by a market of third-party intermediaries most consumers have never heard of, so the retailer whose price you see never has to run the surveillance itself.

Mostly, for now. No federal law bans it. What exists is a patchwork moving quickly:

  • -Maryland went first on outright bans. The Protection from Predatory Pricing Act, signed April 28, 2026, bars large grocery retailers and delivery apps from using personal data to raise your individual price, from October 1, 2026. It covers increases only, and loyalty discounts stay legal.
  • -New York passed the Algorithmic Pricing Disclosure Act on November 10, 2025. A price set by an algorithm using your personal data must carry the label "THIS PRICE WAS SET BY AN ALGORITHM USING YOUR PERSONAL DATA", with civil penalties of up to $1,000 per violation.
  • -California's attorney general opened an investigative sweep in January 2026 into whether surveillance pricing breaks the CCPA's purpose limitation rules, the principle that data collected for one purpose cannot quietly be used for another.
  • -California bill AB 2564, introduced in February 2026, would ban surveillance pricing outright with fines up to $12,500 per violation. It is a bill, not law.
  • -Similar bills are moving in states including New Jersey, Pennsylvania and Texas.

What happened in the Senate this week?

On August 4, 2026 the Senate Judiciary Subcommittee on Crime and Counterterrorism held a hearing titled "Your Data, Their Profit: The Consumer Cost of AI Surveillance Pricing". Its chair, Senator Josh Hawley, accused companies including Amazon, Target, Staples and Lyft of using AI tools to set individualized prices, and said he is preparing a bipartisan bill to ban the practice.

The notable part was the agreement. Senators from both parties treated the practice as a scam, in a chamber that currently agrees on very little. Whether the bill lands or not, the political direction is set, and it points the same way as New York and California.

Can you avoid surveillance pricing?

Not by shopping carefully. The inputs are collected long before you reach a checkout, and outside New York nothing tells you a price was personalized at all. Comparing the same product from a logged-out browser, another device or another network can expose a personalized price, but it does not stop the profiling behind it. Shoppers trade sharper tricks than that, and I went through what actually holds up in what Reddit says about surveillance pricing.

The durable move is shrinking the profile. Surveillance pricing runs on the commercial layer of your digital footprint: the broker files selling your location and purchase history, the accounts linking your identity across sites, the leaked data that fills the gaps. Clearfront scans 3,400+ public data sources in one sweep locally and shows you which brokers, accounts and breaches are exposing you, with an AI security analyst reporting what to remove first. Install Clearfront free to see your own exposure, or get the free removal guide and start pulling your details out of the data broker listings that trade in exactly this data.

Frequently asked questions

Is surveillance pricing illegal in the US?
No federal law bans it. Maryland has banned it for groceries from October 1, 2026, the first state to do so. New York requires a disclosure label when an algorithm uses personal data to set a price. California is investigating the practice under the CCPA, and Senator Josh Hawley says a bipartisan federal bill is coming.
What is the difference between surveillance pricing and dynamic pricing?
Dynamic pricing responds to demand and shows everyone the same price at a given moment, like surge fares. Surveillance pricing responds to you, using personal data to estimate what you individually will pay. A dynamic price changes with the market. A surveillance price changes with the customer.
How can I tell if a price was personalized for me?
Usually you cannot. In New York, an algorithmic price set with your personal data must carry the disclosure "THIS PRICE WAS SET BY AN ALGORITHM USING YOUR PERSONAL DATA". Elsewhere, comparing the same product from a logged-out browser, another device or another network is the only practical test.
What data do companies use to set personalized prices?
The FTC's study documented precise location, browser history, demographics, purchase history, device type, and behavioural signals as fine as mouse movements and the contents of abandoned shopping carts.

I believe your personal data is yours to own and protect. I built Clearfront, a free, open-source tool for scanning and scrubbing your own digital footprint from public data, and I write here about OSINT, breach exposure, and personal privacy.

Scott

Clearfront founder