You just have to wing it, basically, and just hope for the best.
In the digital marketplace of 2026, the price tag has become a living thing — shifting with the hour, the device, and the invisible profile a retailer has assembled about you. Major chains like Old Navy, Target, and Amazon now deploy algorithms that treat pricing not as a reflection of value, but as a negotiation conducted entirely on their terms. What was once the stable anchor of a shopping decision has become a moving target, and the consumer, largely unaware of the forces at play, is left to guess.
- Prices at Old Navy swung 36% over just a few weeks — not because the clothes changed, but because the algorithm decided you might pay more today than yesterday.
- Retailers are quietly factoring in who you are — your device, your history, your demographics — to determine what price you deserve to see, turning shopping into a personalized auction.
- Shoppers describe the experience as exhausting and unwinnable: waiting for a price to drop only to watch it rise, then fall again, with no discernible logic to guide the timing.
- Amazon denies personalizing prices by individual behavior, while Target points to promotional cycles — but neither explanation fully accounts for the volatility consumers are actually experiencing.
- The only partial lifeline available is a 14-day price adjustment window at Target and Old Navy — a policy that helps only those who know to ask, and does nothing for Amazon customers.
You add a dress to your cart on Tuesday for $45. By Wednesday it's $52. Friday it's $38, so you buy it. Two days later, the same dress is $41. You wonder if you ever had a chance.
This is online shopping in 2026. Retailers like Old Navy, Target, and Amazon use algorithms that reprice items constantly — sometimes multiple times a day — based on demand, inventory, competitor data, and increasingly, information about the shopper themselves: browsing history, demographics, device type, even the time of day.
CBS California Investigates tracked this directly, leaving items in carts at three major retailers and monitoring prices over several weeks. The results were striking. Old Navy's cart swung between $143 and $225 — a 36% range, with prices shifting nearly every day. Target's six-item cart moved more than 20% across two weeks. Even Amazon, often seen as a price leader, showed measurable fluctuation.
Anthony Dukes, a marketing professor at USC Marshall, explained the underlying logic: retailers know some customers will pay more and others will hunt relentlessly for deals. Dynamic pricing lets them charge each type accordingly. Crucially, the randomness is intentional — if prices always dropped on Thursdays, shoppers would simply wait for Thursday. Unpredictability is the point.
For shoppers like Kat Wilson, the experience is a catch-22. Waiting for a sale no longer works when the sale itself is a moving target. "You just have to wing it," she said, "and hope for the best."
When contacted, Old Navy did not respond. Amazon said it does not adjust prices based on individual behavior and cited research showing it remains the lowest-priced major U.S. retailer. Target attributed fluctuations to promotional periods that happened to overlap with the monitoring window.
The deeper issue, researchers note, is structural: brick-and-mortar stores update prices on a human schedule, while online retailers update continuously, pulling in real-time signals at machine speed. The result is a shopping environment designed to make optimal timing essentially impossible — leaving consumers with little recourse beyond price-adjustment policies that few know exist, and tools that track algorithmic patterns most shoppers have never heard of.
You add a dress to your online shopping cart on a Tuesday. It costs $45. You close the browser, planning to buy it tomorrow. When you return Wednesday morning, the price has jumped to $52. You wait a few days. By Friday, it's down to $38. You buy it. Two days later, scrolling through the same retailer's site, you see the identical dress marked at $41. You wonder if you made the right call.
This is the reality of shopping online in 2026. Major retailers—Old Navy, Target, Amazon—are using algorithms that change prices constantly, sometimes multiple times a day, based on factors that have nothing to do with the actual cost of the item. They're adjusting for demand, inventory levels, what competitors are charging, and increasingly, data about you: your shopping history, your demographics, the device you're using, even the time of day you're browsing.
CBS California Investigates decided to track what was actually happening. Researchers added items to shopping carts at three randomly selected major retailers and left them sitting there, checking prices regularly over several weeks. What they found was striking. At Old Navy, a cart of clothing items swung from a high of $225 down to $143—a 36 percent swing in either direction. Prices changed almost daily. On May 14, the total was $201.46. The next day, it had dropped to $184.96. Target showed similar volatility: six items in a cart fluctuated between $170.11 and $135.54 over two weeks, a difference of more than 20 percent. Amazon's cart, containing seven items across food, clothing, and shoes, experienced smaller but still noticeable shifts, moving from $269.08 to $274.57.
Anthony Dukes, a marketing professor at USC Marshall School of Business, explained the logic behind this approach. Retailers know that different customers have different price sensitivities. Some people will pay more; others hunt obsessively for deals. Dynamic pricing allows companies to charge higher prices to customers with a history of spending freely while offering lower prices to bargain hunters. Retailers also factor in shopping patterns, time of day, day of the week, and device type. The goal, Dukes noted, is to make prices unpredictable enough that customers can't game the system. If pricing followed a pattern—say, always dropping on Thursdays—shoppers would simply wait for Thursday. By randomizing, retailers prevent that strategy.
Kat Wilson, an online shopper, described the experience as a guessing game. She used to wait for sales, but that strategy has become nearly impossible. "Even if I put it in one day and then a couple of days later, I check it and then the price has gone up, so then I wait until it goes back down," she said. The uncertainty is exhausting. "When prices are so up and down, how do you know if you're getting a good deal? You don't. It's a catch-22. You just have to wing it, basically, and just hope for the best."
When CBS California Investigates reached out to the three retailers, Old Navy did not respond to three separate email requests for comment. Amazon issued a statement saying it does not change prices based on individual shopping habits or behaviors, and that it keeps prices low to match competitors and reflect updates from independent sellers. The company cited research showing it has been the lowest-priced major U.S. retailer every year since 2017, with online prices averaging 14 percent cheaper than competitors in 2025. Target acknowledged that several promotions occurred during the monitoring period, including a 30 percent discount on dresses and a $10-off-$50 promotion.
Research from Competition Policy International highlights a key difference between online and physical retail. Brick-and-mortar stores update prices based on logistics—manual tag changes and scheduled sale cycles. Online retailers update continuously, sometimes several times daily, using algorithms that pull in competitor data and real-time demand signals. The speed and opacity of these changes create a fundamentally different shopping experience.
Some consumers said they would prefer straightforward, stable pricing over the constant fluctuation. "How are we supposed to save money with all this inflation and everything, and these stores are just going up and down with all the internet and pricing," one shopper said. There is some recourse: Target and Old Navy both allow price adjustments within 14 days of purchase, whether bought online or in-store. Amazon does not offer this option. For now, shoppers navigating this landscape are largely on their own, watching prices move like weather patterns and trying to time their purchases in a system designed to make timing impossible.
Citas Notables
Companies use this a lot, and it's been accelerated by virtue of algorithms and data.— Anthony Dukes, marketing professor at USC Marshall School of Business
When prices are so up and down, how do you know if you're getting a good deal? You don't.— Kat Wilson, online shopper
La Conversación del Hearth Otra perspectiva de la historia
Why does a retailer need to know what device I'm using to shop? What does that tell them?
It tells them something about your flexibility. Someone shopping on a phone might be more impulsive, less likely to comparison shop across multiple sites. Someone on a desktop might be more deliberate, more price-sensitive. The algorithm adjusts accordingly.
So I'm being charged more because of how I shop, not because of what I'm buying.
Exactly. The item itself hasn't changed. Your willingness to pay has, in their estimation. It's not illegal, but it's invisible—you don't see the price your neighbor sees for the same thing.
The Old Navy prices swung 36 percent. That's enormous. How is that even legal?
There's no law against it. Dynamic pricing is legal in the U.S. What matters legally is whether you're discriminating based on protected characteristics like race or gender. Discriminating based on shopping behavior is fair game.
But doesn't that hurt people who can't afford to wait and hunt for deals?
That's the real tension. If you have time and flexibility, you can game it somewhat—wait, check back, use price tracking tools. If you need something now, you pay whatever the algorithm decides you'll pay. The system rewards patience and penalizes urgency.
Why would Amazon say they don't use personal data for pricing when they clearly have access to it?
They're being technically accurate. They're not saying they don't have the data. They're saying they don't use shopping habits to set individual prices. But they do use demand, competitor pricing, and inventory—which are forms of behavioral data, just aggregated rather than individual.
So what's the move for a regular shopper?
Check the price adjustment policies. Target and Old Navy give you 14 days. Use price tracking tools if you can. But honestly, the system is designed so you can't win. That's the point.