Companies have spent the past decade quietly rewriting the rules of pricing, and consumers are paying the price — often without realizing it. According to consumer advocate Lindsay Owens, the shift isn't accidental. It's a deliberate strategy to extract more money from shoppers by exploiting the vast amounts of personal data that businesses now collect.
Owens, who leads the consumer advocacy group Groundwork Collaborative, explores this phenomenon in her new book, "Gouged: The End of a Fair Price — And What That Means for Your Wallet," published in September. In it, she documents pricing schemes that corporations work hard to conceal and offers practical guidance for consumers who want to avoid being overcharged.
"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."
The tactics she describes are not entirely new. Businesses have always sought to charge different customers different amounts based on what they think each person will pay. What has changed is the sophistication and scale of the tools available to them. Algorithms, browsing data, and granular demographic information now allow retailers to personalize prices in ways that were impossible just a generation ago.
The most blatant example, Owens says, is personalized pricing. Retailers gather information about individual shoppers — their browsing habits, demographic details, and purchase histories — to estimate the maximum amount each person might be willing to spend. That estimate then becomes the basis for the price they see.
Hotels, for instance, have been known to set room rates based on a customer's geographic location. Airlines have used browsing data to adjust the cost of airfare depending on who is searching and when. Grocery stores are experimenting with technology that tests how much they can charge customers before those customers balk.
These practices are often invisible to the shopper. Two people searching for the same flight or hotel room on the same day may see different prices, with no obvious explanation for the discrepancy. The customer who pays more typically has no way of knowing they were charged a premium.
Owens argues that algorithms make this kind of price discrimination easier than ever. Companies can run continuous pricing experiments on consumers, tweaking costs in real time and measuring how people respond. The result is a marketplace where the "fair price" — a single, publicly listed rate that applies to everyone — is increasingly a thing of the past.
Despite the scale of the problem, Owens believes there are steps consumers can take to protect themselves. Her advice centers on making it harder for retailers to track individual shoppers and build detailed profiles that can be used against them.
One core strategy is to obscure your digital trail. When companies can't easily identify who you are or connect your browsing behavior to your purchase history, they have less information to use when setting a personalized price. Techniques that limit tracking — such as adjusting privacy settings, using different browsers or devices, and avoiding logged-in accounts while comparison shopping — can help disrupt the data collection that fuels personalized pricing.
Owens acknowledges that not every technique is worth the effort for small purchases. Covering your tracks before buying a pair of shoes may not be worth the time. But for big-ticket items — expensive flights, hotel stays, or major electronics — the potential savings can justify the extra steps.
The broader implications of this pricing revolution extend beyond individual transactions. If companies can charge each customer a different price based on what they believe that person will tolerate, the traditional notion of a transparent market erodes. Consumers lose the ability to comparison shop effectively, because the price they see may not be the price anyone else sees.
Consumer advocacy groups like Groundwork Collaborative argue that regulators need to pay closer attention to these practices. But in the meantime, Owens suggests that awareness is the first line of defense. Understanding that prices are often tailored to the individual — and that companies have strong incentives to hide that fact — can help shoppers approach purchases with a more skeptical eye.
For consumers, the takeaway is not to abandon online shopping or avoid travel, but to recognize that the deck may be stacked in ways that aren't immediately obvious. Being deliberate about privacy, comparing prices across platforms, and questioning whether a quoted price is truly the best available can make a meaningful difference.
Owens's book arrives at a moment when concerns about corporate pricing power and inflation have made the cost of everyday goods a central political and economic issue. Her argument — that technology has given companies new tools to charge more without justification — adds a layer to that debate that goes beyond supply chains and interest rates.
Ultimately, the fight against personalized pricing is a fight over information. Companies know more about consumers than ever before, and they use that knowledge to their advantage. Closing the gap — through privacy-conscious behavior, consumer education, and potentially regulation — is the challenge Owens sets out to address.
Her message is direct: the rip-off is real, it's widespread, and it's evolving. But shoppers who understand how it works are better positioned to avoid becoming its next victim.
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