FTC Orders Walmart, Target to Explain Personalized Pricing

The FTC ordered Walmart, Target and seven other companies on Oct. 28 to disclose whether personal data changes the prices customers see.

That reads like a big-retail problem, and for now it is. But the same agency’s August policy draft says undisclosed individualized pricing may violate Section 5 of the FTC Act, and that reaches the tools sitting inside a store run by an Ecommerce Paradise reader: behavior-triggered discount codes, “smart” repricing apps and segmented email offers. When a vendor’s app sets the price and your storefront shows it, a merchant guide from Surebright says the liability can land on you.

Below: what the FTC asked, how a 2024 study turned into this week’s orders, what it means for a high-ticket store, and a five-step audit to finish before the first company reports come due in mid-December. It follows a string of FTC actions aimed at payments and fees, including the Riverside Payments settlement I covered earlier today.

Run discounts you can explain, not discounts a vendor invented. Behavior-triggered offers are fine when the rule is written down and the code is public. Build those flows deliberately in Klaviyo and you will be able to say exactly who gets what and why. Set up documented discount flows in Klaviyo →

FTC 6(b) Orders Hit Walmart, Target and Seven Others

The Commission voted 2-0 to issue the orders, according to Recording Law, which identifies the matter as FTC No. P246202, a Section 6(b) study rather than an enforcement action. The nine recipients are Delta, United, JetBlue, Lyft, Uber, DoorDash, Instacart, Target and Walmart, per the International Association of Privacy Professionals (IAPP).

Yahoo Finance’s republication of a Retail Dive report says the 15-page order asks each company to explain whether prices for a product or service vary from person to person based on personal data, including analysis from artificial intelligence. It also asks how loyalty programs affect prices and how companies set worker pay.

Recording Law counts 23 specifications. Specification 7 covers consumer pricing methods that use personal information, and Specification 22 asks for the wording, location and dates of every disclosure a company gave shoppers. The default review window runs from Jan. 1, 2023 to full compliance, and one specification reaches back to Jan. 1, 2021.

Each recipient has 45 days from service to file a sworn Special Report and 14 days to confer with FTC counsel, per Recording Law. Fox Business adds that the FTC can go to federal court to compel compliance. Hypothetically, if a company was served the day the orders issued, 45 days lands on Dec. 12. Actual dates depend on each service date.

FTC Chairman Andrew Ferguson said in a statement: “We intend to scrutinize the opaque methodology that some companies in these industries may be using.” He added, per Fox Business: “Consumers deserve to know whether companies use their web surfing habits or other personal data.”

The companies are pushing back. Fox Business reports that JetBlue and Delta said they do not use personal data to set individual fares, and Instacart said it does not use personal information to set prices. Target pointed to a fact sheet stating, “Target does not use personal information to raise prices for guests based on who they are,” according to Yahoo Finance. Walmart did not immediately respond to Retail Dive.

Recording Law notes that confidential submissions are reported only in aggregate or anonymous form, with 10 days’ notice before any disclosure. Do not expect a tidy list of guilty pricing apps in December.

Personalized Pricing Timeline: 2024 Study to Section 5 Draft

This is the second pass. In July 2024 the FTC sent 6(b) orders to the intermediaries that build pricing engines, not the retailers that use them. IAPP lists Mastercard, Revionics, Bloomreach, JPMorgan Chase, Task Software, PROS, Accenture and McKinsey. Staff released a perspective on the findings on Jan. 17, 2025, on a 3-2 vote, and Recording Law says then-Commissioners Ferguson and Holyoak dissented.

Ferguson now chairs the agency and is running the follow-up. The 2026 orders went to the companies at the other end of the pipe, the ones that show shoppers a price.

On Aug. 19, 2026, the FTC announced a proposed enforcement policy statement. Law firm Crowell reports it defines personalized pricing as “using consumers’ personal data to set individualized prices, discounts, coupons, or other incentives,” and says disclosures must be clear and conspicuous, state that a price is personalized, explain the basis and identify the data types used. Vague wording such as “specially selected” would likely mislead, per Crowell.

Ferguson’s line on the draft, as quoted by Novo: “When consumers see a listed price, they expect it to be same price that everyone else sees.” Novo reports the Commission voted 2-0 to publish. The comment period closed in September. Recording Law gives Sept. 25 after a seven-day extension, while Surebright lists Sept. 18, so the sources disagree on the exact date.

States are moving too. Recording Law lists New York’s algorithmic pricing disclosure rule, effective Nov. 10, 2025, California automated decision-making rules with a Jan. 1, 2027 compliance date, and a Connecticut surveillance pricing provision effective July 1, 2027. IAPP adds that Seattle approved a grocery-focused measure in September and that California’s attorney general announced an investigative sweep in January.

There is a real counterpoint. Crowell says the policy statement is not binding and creates no new obligations, and Surebright says the FTC has acknowledged it cannot ban personalized pricing outright. Law firms also split on scope. Novo reads published discounts and loyalty tiers as outside the concern, while Crowell says discounts, coupons and loyalty programs fall within the definition. I covered the agency’s fee-disclosure posture yesterday in the FTC’s suit against Toast over hidden fees.

What FTC Personalized Pricing Scrutiny Means for Your Store

My read: this is not a Walmart story for a store owner, it is a vendor story. The 2024 study went after the companies that sell pricing engines, and engines like that get packaged into apps that mid-market stores install in an afternoon. The FTC does not need to chase every Shopify store to change behavior. It needs a few vendors to add disclosure toggles and a few merchants to read about it.

Here is where a high-ticket store could be exposed. Repricing apps that adjust by visitor. Discount codes that appear only for shoppers who abandoned a cart or browsed a product three times. Geo or device-based price changes. VIP segment pricing. Offers built from customer lists. Every one of those uses data about the shopper to change what the shopper pays, which is the definition Crowell quotes.

Here is where I think you are fine. A public code anyone can find is a promotion. A MAP price that every visitor sees is the opposite of individualized. A phone quote negotiated with a buyer on a $4,000 order is a custom deal, and Novo reads custom service quotes as outside the hidden per-user pricing the draft describes. That is one firm’s reading, not a safe harbor.

Hypothetical math, labeled as such. Say you ship 80 orders a month at a $2,400 average, which is $192,000 in monthly revenue. An installed app quietly gives 5% off to the 25 visitors it scores as most price-sensitive. That is $3,000 a month, $36,000 a year. The money is not the problem. The problem is that you cannot say who got it, why, or whether the other 55 buyers saw a higher price for the same sofa. Flip the logic and a surcharge for shoppers the app scores as wealthy is the scenario regulators actually fear.

Your shoppers skew older and affluent, and high-ticket buyers compare prices across tabs. A mismatch between what a shopper sees and what a friend sees on the same product is easy to screenshot. I would treat that screenshot as the real enforcement mechanism long before an FTC lawyer arrives.

Scenarios, all my read and none of them certain. If the FTC finalizes the policy statement in early 2027 without major changes, expect disclosure to become the norm wherever a price is individualized, and expect pricing apps to ship a “personalization disclosure” setting. If the FTC files its first Section 5 complaint against a company that is not a household name, vendors will rush compliance features and stores without documentation will scramble. The threshold I am watching is that first complaint against a mid-sized merchant. Until then, the cheap move is to know your own rules.

Data collection sits underneath all this. When Google Ads tags start passing full visitor IP addresses through server-side tagging, you hold more shopper data to explain, not less. Same with AI shopping agents: Home Depot wants those agents to prove who they are, and an agent comparing your price against a competitor’s will notice differences a human would miss.

Your tool stack is where this gets decided. My high-ticket dropshipping tech stack keeps pricing rules in as few places as possible, and that is partly why. Every extra app that can touch a price is another place to audit. On Shopify, native discount codes are easy to see and explain. Third-party apps that adjust prices behind the scenes are where I would look first.

Support is the other pressure point. When a buyer writes in asking why a friend paid less, your team needs one honest answer ready. A help desk such as Gorgias lets you store that answer as a macro.

If you collect behavioral data at all, a policy generator like Termly helps keep your privacy policy matched to what you actually collect, which becomes the first document a regulator or a buyer’s lawyer reads. See my broader write-up on managing your business digital footprint for the housekeeping side.

This is exactly the operator complexity that makes people stall out between store one and store three. If you would rather start with a store built around simple, published pricing from day one, that is what my done-for-you turnkey store build is for. I am not a lawyer, and this is reported information rather than legal advice. Talk to counsel before you change how your store prices.

Not sure which of your discount rules would survive an FTC question? Bring your store and your app list to a 1-on-1 call and we will sort what stays, what gets disclosed and what gets cut. Get the coaching details →

Store Pricing Audit: 5 Steps to Finish Before Mid-December

Five steps, in order. Block one afternoon for the first three.

List every tool that can change a displayed price or discount. In Shopify, open Settings, then Apps and sales channels, and write down each repricing app, discount app, upsell widget and email or SMS tool. Add your Google Ads offers and any chat tool that hands out codes.
Ask each vendor in writing. Send one email per tool: what shopper data, if any, drives the price or discount shown, and can individualized pricing be switched off? Novo’s advice for small businesses is to get this in writing, and a vendor who cannot answer in a day is telling you something.
Sort every rule into published or individualized. Published means any visitor can see and use it. Individualized means it depends on who the shopper is or what they did. Check your abandoned-cart and browse flows against the email flows every high-ticket store needs and note which codes are unique per person.
Disclose or cut each individualized rule. If you keep one, put plain language at the price: that it is personalized, the basis, and the type of data used, mirroring the Crowell summary of the draft. If the benefit is small, cut it. Update your privacy policy to match what you actually collect.
Screenshot, date and file your rules. Keep a one-page pricing policy and dated screenshots of each live offer. If a regulator, a payment processor or a buyer asks, you hand over one page instead of reconstructing history. A walkthrough of what to fix first on a live store is in my store audit case study.

If you are still picking what to sell, start with my free high-ticket niches list and favor categories where one published price is already the norm. If you want a second set of eyes on your whole setup, you can book a discovery call and we will go through it together.

Frequently Asked Questions

Does this FTC order apply to my store?
No. It went to nine named companies and is a 6(b) study, not an enforcement action, per Recording Law. The August policy statement is the document small stores should watch, since it covers any business using personal data to set prices.

Is a discount code personalized pricing?
It depends on how the code reaches the shopper. Crowell says the draft’s definition includes coupons set using personal data. A public code anyone can use is a promotion, while a code generated from a shopper’s behavior or inferred traits is closer to the definition.

Do loyalty programs count?
Law firms disagree. Novo reads published loyalty tiers as outside the concern, and Crowell says loyalty programs fall within the definition and may draw unfairness scrutiny. A CRM that records why each customer got each offer makes either reading easier to live with.

When do the nine companies have to respond?
They have 45 days from service to file a sworn Special Report and 14 days to confer with FTC counsel, according to Recording Law. If served on the order date, 45 days is about Dec. 12.

Which state laws matter right now?
Recording Law lists New York’s disclosure requirement, effective Nov. 10, 2025, California’s automated decision-making rules with a Jan. 1, 2027 compliance date, and Connecticut’s surveillance pricing provision, effective July 1, 2027. Shopper location, not your LLC’s home state, is the question to ask a lawyer about.

Do my Google Shopping prices need to match the page?
Yes, mismatched prices are a classic Merchant Center problem regardless of the FTC. Run through my Google Merchant Center optimization checklist and make sure the feed price, the page price and any promotion all say the same thing.

Is this legal advice?
No. I am not a lawyer. This is a summary of reported information, so take your specific pricing setup to qualified counsel.

Want my team to clean up your pricing stack and scale the store you already have? We can audit the apps, simplify the rules and push revenue from there. See the scaling service →

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Trevor Fenner

Trevor Fenner is an ecommerce entrepreneur and world traveler from Seattle, Washington, and the founder of Ecommerce Paradise, a platform focused on helping entrepreneurs build and scale profitable high-ticket ecommerce and dropshipping businesses. With over a decade of hands-on experience, Trevor specializes in high-ticket dropshipping strategy, niche and product selection, supplier recruiting and onboarding, Google & Bing Shopping ads, ecommerce SEO, and systems-driven automation and scaling. Through Ecommerce Paradise, he provides free education via in-depth guides like How to Start High-Ticket Dropshipping, advanced training through the High-Ticket Dropshipping Masterclass, and fully done-for-you turnkey ecommerce services for entrepreneurs who want a faster, more hands-off path to growth. Trevor is known for emphasizing sustainable, real-world ecommerce models over hype-driven tactics, helping store owners build scalable, sellable, and location-independent brands.

He maintains homes in Seattle and Bali, spends most of the year overseas, and usually returns to Seattle for about a month each summer.

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