A shopper scrolling a retailer's app during a flash sale sees a wool coat marked "$180, now $69, save 62 percent." That discount looks enormous. It feels like today is the only day to buy. Almost nothing about that number is unusual. That $180 tag was very likely built to be discounted from the day the coat was first ordered, long before any customer saw it hanging on a rack, and long before anyone connected to the sale had any idea what a real customer would pay for it. Electronics accessories, kitchenware, jewelry and mattresses sold both online and in stores across the country show the same pattern.
That opening figure rarely reflects what anyone actually paid for the item, or what it cost to produce plus a normal margin on top. In apparel, mattresses, furniture and fine jewelry especially, the number printed above the strikethrough is set by working backward from the markdown a retailer intends to run, not forward from what the goods are genuinely worth. A manufacturer's suggested retail price can be invented for exactly this purpose, disconnected from any store's actual selling history. Merchandisers have a term for it: reference price. A price shown first becomes the anchor against which every later number gets measured, an effect that draws on a basic feature of how people judge value, so a discount can feel real even when the reference price never was. Its only function is to make the real price look generous by comparison.
Buying teams plan for this before a single unit is cut and sewn. A garment ordered for a spring collection typically carries a scheduled first markdown and an even deeper scheduled clearance markdown, both built into the assortment plan months before the item ever reaches a shelf. Retail buyers often work off a standard multiple of wholesale cost, doubling or more than doubling it to set the opening ticket price. That leaves room to cut the number twice or three times and still clear a profit at the final markdown. Off-price retailers that specialize in closeout merchandise take this further still. They buy overstock at a fraction of its original wholesale cost and then advertise it against the original brand's full list price, a number the off-price store never charged in the first place. None of that arithmetic depends on how much a customer values the coat. It depends entirely on how many rounds of promotion the season's calendar requires.
Retailers profit twice from the arrangement. They profit once on the transaction itself, because the "sale" price still usually covers a comfortable margin above wholesale cost. And they profit again on the psychology of the encounter: a customer primed by a steep percentage-off figure tends to buy faster, buy more, and feel satisfied about it afterward. Some brands that sell mainly through outlet malls and off-price chains keep two separate product lines to make this cleaner: one made to be marked down eventually, and one manufactured specifically for the outlet channel that never touches a full-price rack at all.
Customers pay for both. What looks like a discount off the item's worth is closer to the item's actual price, dressed up to resemble a favor.
Retail chains today lean on markdown-optimization software that predicts, item by item, exactly how deep a cut is needed to clear inventory by a target date, and that same software also calculates how large a percentage-off label needs to be to move the most units without giving away margin that wasn't necessary to give away. It doesn't ask whether $180 was ever a real price. It only asks what number, placed next to $69, produces the best conversion rate this week. That turns the reference price from a merchandising quirk into a continuously tuned variable, adjusted the same way a headline or a thumbnail image gets tested and replaced.
Once one retailer discovers that a bigger strikethrough number moves more units than a smaller one, competitors follow, and reference prices across an entire category drift upward, independent of anything the product actually costs to make. This is how a chain ends up on what amounts to a permanent sale, running markdown events nearly every week of the year while still labeling each one special. Department stores and mattress retailers built entire business models on this pattern for years. Shoppers adapt in turn: many now wait for the next promotional email rather than buy at the listed price. That pushes retailers to promise ever-deeper cuts to move the same goods, which pushes the starting price up again to make room for the next round.
Some shoppers eventually stop trusting the number at all, a pattern retail analysts call sale fatigue, which only pushes marketing teams to make the next headline discount look even larger. This produces a treadmill on which the discount has become the actual marketing message and the underlying price is almost decorative.
One large American department store chain tried, a decade or so ago, to strip out inflated list prices and simply charge what it meant to charge every day. Shoppers, oddly, treated the honest prices as the bad ones, and the chain reversed course within about a year once nothing looked like a bargain anymore.
Changing this would require rules that few markets currently enforce with much force. Regulators would need to insist that any "original" price be one the item genuinely sold at, for a meaningful stretch of time, rather than one invented purely so a discount has something to bounce off. Some European Union countries now require retailers to disclose the lowest price charged in the weeks before a sale, which at least gives the reference price something real to answer to; a handful of U.S. states, meanwhile, already have statutes requiring a former price to have been a genuine, recent selling price before a retailer can advertise a percentage off it. Enforcement resources, though, rarely match the volume of markdown advertising in circulation. Beyond that, enforcement generally leans on broad rules against deceptive advertising that are rarely applied to a single markdown tag on a single product page.
Independent price-history tools that track what an item has actually sold for over time have probably done more to expose inflated "was" prices than most regulators have managed.
Retailers that have tried competing on everyday low prices instead of discount theater usually find that demand drops even when the actual price a customer pays does not change. Apparently, the sense of getting a deal matters almost as much as the deal itself. Warehouse clubs and hard discount grocers have built entire formats around refusing to play this game, betting that a smaller but constant markup beats a deeper but manufactured one. Their appeal rests on trust built over repeat visits, not on the adrenaline of a one-time markdown, which is a slower, harder brand to build.
That is a hard trade for any merchant to make voluntarily. It is also why the reference-price model keeps surviving each new wave of criticism against it.
What's left unresolved is which side of that trade shoppers are actually choosing. Price-history tools and disclosure rules can strip away a fabricated reference number easily enough, but they cannot tell a customer what a mattress or a coat is genuinely worth, only what it has sold for before; whether shoppers actually want that plainer, harder kind of answer, or would rather keep the ritual of the markdown even once they understand exactly how it works, is a genuine question. Retailers, though, appear to have already answered it on their behalf.