A famous old joke tells of a wealthy traveler who stops at a rural diner in his carriage, orders breakfast, and receives an astronomical bill. Shocked, he asks the owner, “Are eggs rare in these parts?”

The owner smiles. “No, eggs are plentiful. But very rich men are quite rare.”

For centuries, charging someone more simply because you knew they had deep pockets was a manual trick. Salespeople have long sized up a buyer’s purchasing power using visual cues - a tailored jacket, an accent, or a luxury watch. While sellers viewed it as sharp business, consumers have always resented the indignity of being profiled.

Over the past decade, the e-commerce industry has made that predatory logic considerably easier to automate, using readily available signals such as device type, location, browsing behavior, purchase history, and other consumer data.

Now, the practice has landed firmly on the FTC’s radar.

On August 19, 2026, the Federal Trade Commission released a proposed Enforcement Policy Statement on personalized pricing, warning that businesses could violate Section 5 of the FTC Act if they use consumers’ data to personalize prices without clearly disclosing that practice.  

For e-commerce merchants using AI pricing tools, third-party SaaS platforms, or other plugins that adjust what shoppers see based on identity, the new FTC statement raises an uncomfortable question: is your pricing engine about to become a regulatory problem or perhaps a persistent nightmare realized through class-action litigation?

The headlines make the FTC’s move sound like a sweeping crackdown on personalized pricing. The reality, on the other hand, is more nuanced. So before you panic, follow the herd and rewrite your pricing strategy, let’s separate what the FTC is actually enforcing from what it isn’t.

So what did the latest FTC announcement actually say?

The FTC’s Enforcement Policy Statement sounds alarming at first: using consumers’ personal data to determine the price they see could be considered an unfair or deceptive practice under Section 5 of the FTC Act.

But there’s an important catch, and it lies with two words of the document: proposed and disclosure.

As far as “proposed” goes, the FTC has not passed a new law banning personalized pricing or created a new penalty for merchants using it just yet. Instead, it is explaining how it intends/proposes to use its existing Section 5 authority, which already prohibits unfair or deceptive practices. The proposal is open for public comment through September 18, 2026, and the FTC acknowledges that it cannot ban personalized pricing outright.  

So the FTC does not necessarily have a problem with charging two shoppers different prices.

Which brings us to the second catch and the bigger issue: disclosure. This means whether shoppers know that their price is being personalized, what information is influencing it, and what types of personal data are being used.

And your buyers don’t shy away from telling you why the issue makes them feel uneasy:

“It honestly feels like we’re just products to them. Our whole lives get packaged up, sold, and resold to whoever pays, and we don’t even get told, let alone see any of the money.”

Is your store actually in the crosshairs?

Yes and no.

Before you panic, take a breath. Personalized pricing has been around for roughly twenty-five years. Companies have tried it, customers have caught them, and the internet has done what the internet does best: made a very big fuss.

Back in 2000, Amazon ran a randomized pricing test and charged some customers up to 40% more for the same discs. Soon enough, customers spotted it and the word spread. Amazon apologized and refunded 6,896 people.

Twelve years later, the Wall Street Journal caught Orbitz steering Mac users toward pricier hotels. Orbitz had figured out that Apple users tended to spend $20 to $30 more per night. Once the story broke, Orbitz had to stop.

So yes, there is plenty of history to make a small merchant nervous whenever the FTC has a new announcement around e-commerce regulations.  

The difference in 2026 is that companies get sued

A customer’s experience with Audible becomes a useful lesson for merchants at this point:

“Audible is definitely enacting surveillance pricing and it is extremely disappointing….The second account that is used less frequently had better prices than the first. Buying more books obviously has a negative effect on the price you are quoted.”

That customer probably isn’t thinking, “What a sophisticated pricing strategy.”

They are thinking, “Why me?”

And once a customer feels the price was personal, every future price can start looking suspicious.  

In the old days, personalized pricing could earn you a nasty headline and a very awkward afternoon in the PR department. Now, lawyers may want a seat at the table too.

In December 2025, Consumer Reports caught Instacart charging different shoppers up to 23% more for identical items. Its investigation found price differences of as much as 23% for identical products at the same store. Instacart later said the tests were randomized price experiments rather than individualized pricing based on personal data.  

Then in January 2026, New York Attorney General Letitia James demanded answers from Instacart, asking how its pricing experiments worked, what consumer data was involved, and whether the company was complying with New York’s algorithmic pricing disclosure law.

Eaging instances like this became a cumulative goldmine for the FTC’s regulations.  

The states have the power to turn that outrage into law

Yes, the announcement itself does not come with penalties, but the story gets bigger than the FTC.

Maryland’s Protection From Predatory Pricing Act, which was signed on April 28, 2026, takes effect October 1, 2026. It bars covered food retailers and third-party delivery services from using consumer personal data to set prices.  

Connecticut followed with its own law, which prohibits surveillance pricing by covered retailers and delivery services. For other businesses using a price-setting device to increase an online price using personal data, the law requires anembarrassing disclosure: "THIS PRICE WAS INCREASED USING YOUR PERSONAL DATA."  

Picture that on your checkout page.

So yes, that is the bigger picture. The FTC statement sets the federal direction. State lawmakers are turning pieces of that direction into enforceable rules.

Who is actually liable in court?

This is where your clever pricing stack gets interesting. You might say, “The app did it.”

But that answer definitely won’t get you very far in court.

The FTC has already made its position on third-party vendors fairly clear. In its guidance on multi-party liability, the agency says companies can face liability when they actively participate in or enable unlawful conduct. It also recommends vetting business partners, building compliance requirements into contracts, and monitoring vendors over time.

A classic case study sits right in the agency’s archives. When Office Depot and its software vendor Support.com paid thirty-five million dollars to settle FTC allegations over deceptive malware scans, it proved an expensive lesson in shared risk. Office Depot shelled out twenty-five million dollars while its tech supplier covered ten million dollars because the underlying software generated misleading diagnostic claims.

The takeaway for e-commerce operators is clear: a vendor can own the technology without absorbing all the legal exposure. So yes, as a merchant, you might even be liable completely as per FTC’s statement.  

The app might collect the data and run the model, but your storefront is still the one flashing the final price to the shopper. In fact, the FTC’s proposed statement specifically ropes in retailers whenever they imply a price is broadly available while secretly individualizing it behind the scenes.

Sneaky software isn’t the only hazard, though.

What does the app call a discount?

Imagine a system quietly showing one shopper a made-up $150 reference price before cutting it to a “personalized discount” of $100, while a second shopper sees that exact same $100 price right out of the gate.

The customer thinks they scored a deal. The FTC’s proposed statement explicitly flags this as a deceptive representation about the basis of a price. Labeling an algorithmic markup as a special “favor” for a loyal shopper is a fast track to regulatory trouble.

But this too is not the end of your troubles. There is also the accidental data loop, which is the trap of running personalized pricing without ever choosing to build it. Routine browsing data flows into a third-party analytics tool, makes an invisible inference, and quietly turns a basic stats tracker into an undercover pricing engine.

The vendor’s code may sit deep in your app stack and regulators won't care who wrote the code when they ask your store to pay the fine.

What you can keep doing without losing sleep

All of this can make it sound like changing your prices has become a deal with the devil.  

But the guiding question underneath your troubles is simple and fair: why did the price change?  

Standard dynamic pricing remains in a safe territory because the logic is simple. A retailer can clear excess inventory or respond to a jump in demand. Shipping costs can affect the price too.

Think of it as cost-driven versus customer-driven pricing. Your supply gets tight, so the price goes up. That is business. Your costs change, so the price changes. Same story. Your system looks at a shopper’s data and decides that this particular person will probably pay more. Now you have a different problem.

State laws draw the line between dynamic and predatory/surveillance pricing explicitly. Connecticut protects dynamic pricing based on location, delivery costs, timing, and pure supply and demand.

Loyalty programs and promotional codes also stay fully legal when they are genuinely opt-in and accessible to anyone who qualifies. A student discount works because the criterion is transparent. A member tier works because the terms are visible. New York’s One Fair Price Act similarly preserves bona fide discounts and transparent loyalty programs.

Bottom line - take the statement for what it’s worth

Ask yourself: why did this price change?

If the answer is inventory, demand, timing, shipping, or basic cost, you are standing on familiar dynamic-pricing ground.

If the answer is something about the shopper, stop right there.

What data did the algorithm use? Did the customer know? Can you explain why their price differed from the next person’s, and could you prove it if a regulator asked tomorrow?

That is the line personalized pricing keeps getting closer to. Pricing technology will only get smarter, but finding ways to improve margins without crossing into shopper-specific predatory or surveillance pricing is going to get harder.

And at this point, a better opportunity is - add value instead of adding a markup. Providers such as SureBright can give merchants a new revenue stream by offering product protection customers can actually choose to buy, rather than charging more simply because an algorithm thinks they will pay it.  

The goal is still better margins. The difference is how you get there.