Companies have quietly rewritten the rules of retail pricing over the past ten years, and consumers are paying the price — often without realizing it. According to consumer advocate Lindsay Owens, the shift is not a matter of inflation or supply-chain chaos alone. It is a deliberate redesign of how prices are set, one that leans on data, algorithms and surveillance to extract as much money as possible from each individual shopper.
"What we're seeing is Big Tech reinventing the rip-off," Owens said. "These are old tricks, but they've been supercharged by new technologies." Owens heads the Groundwork Collaborative, a consumer advocacy group, and is the author of a new book published in September titled "Gouged: The End of a Fair Price — And What That Means for Your Wallet." In it, she documents pricing schemes that corporations work hard to keep out of sight — and offers practical guidance for shoppers who want to avoid being taken advantage of.
The old-fashioned rip-off, Owens suggests, was at least transparent in its own way. A single sticker price applied to everyone. What has changed is the arrival of tools that let sellers treat every customer differently, calculating a unique price based on what the data says that person might be willing to pay.
The most egregious version of this, in Owens' view, is personalized pricing. Retailers, she explains, "collect data on you to better ascertain how much they can charge you." That information can include your browsing history, demographic details and past purchase records. Companies are also deploying algorithms to run pricing experiments on live consumers, testing how much they can charge before a shopper balks.
Geography has become another lever. Hotels, for instance, are setting room rates based on where a customer is located, a practice known as geo-location pricing. Airlines, meanwhile, are using browsing data to help determine the cost of airfare. The implication is uncomfortable for travelers: two people searching for the same flight at the same moment may see two different prices, depending on what the airline's systems know about them.
Grocery stores have entered the same territory. Some are using technology to test out how much they can charge customers, experimenting with prices in ways that would have been impossible before digital shelf labels and loyalty-card tracking became widespread. The result is a marketplace where the posted price is increasingly a starting point rather than a fixed number.
Owens' book arrives at a moment when public frustration with the cost of everyday life is running high, and when the mechanisms behind those costs are more opaque than ever. Her argument is that the problem is not simply greedy individual companies but an entire infrastructure — data brokers, predictive algorithms, digital storefronts — that makes differential pricing cheap and easy to deploy at scale.
For consumers, the practical question is what to do about it. Owens' advice centers on covering your trail so that retailers have a harder time watching you and then selling you products at personalized prices. The techniques she describes are not a cure-all, and she acknowledges that shoppers may not bother with them for small purchases, such as a pair of shoes.
But for expensive items — flights above all — the effort can pay off. Airfare is one of the clearest examples of a product whose price can swing dramatically based on what a company infers about the buyer, which makes it a natural place to start. The same logic applies to hotels and other big-ticket bookings, where a few minutes of precaution can translate into meaningful savings.
The first line of defense is to reduce the signal you send. Browsing in a private or incognito window, clearing cookies and avoiding logged-in sessions can limit how much a site learns about your habits and history. The less a retailer knows about your past behavior, the harder it is to guess your willingness to pay.
A second tactic is to shop outside your usual identity. Searching without signing into an account, or using a different device, can disrupt the profile a company has built around you. Because personalized pricing depends on recognizing the customer, obscuring that recognition undermines the whole exercise.
A third approach involves comparison and patience. Checking prices across multiple sites, and revisiting them later, can reveal whether a quote is stable or being adjusted in response to your interest. A price that mysteriously rises after repeated visits is a signal that an algorithm, not the market, is at work.
Finally, Owens encourages consumers to think of these strategies as a form of self-defense rather than an obsession. Not every purchase deserves a cloak-and-dagger routine. But knowing that personalized pricing exists — and that it is legal in many contexts — changes how a savvy shopper approaches the biggest expenses.
The broader stakes go beyond individual savings. If prices are set by hidden algorithms and personal data, then the traditional consumer protections built around clear, advertised prices become less effective. Owens' work is a reminder that transparency, once a baseline expectation in retail, is now something shoppers may have to manufacture for themselves.
Her message is not that fair prices have disappeared entirely, but that getting one now requires awareness. "The most egregious way is personalized pricing," she said, and the remedy begins with understanding how thoroughly the game has changed. For anyone booking a flight or a hotel room, that understanding may be worth more than any single discount.
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