Why the first price you see changes every price after it
Retailers know that the first number you see for anything becomes the ruler everything else gets measured against. That first number is usually theirs.
The jacket was listed at $340. Crossed out. Now $170 in orange letters. Your first thought probably is not “is $170 a fair price for a jacket?” It's “that's half off.”
That reaction is anchoring, and it happens before you can stop it. The $340 number your eyes passed over first became the ruler everything else gets measured against, including the $170 you are now considering. The retailer set the ruler. You are using it.
How anchoring shapes what you pay
In 1974, psychologists Amos Tversky and Daniel Kahneman published research showing that the first number people encounter in any estimation task bends their final answer toward it, even when the number is arbitrary and obviously irrelevant. They called it the anchoring heuristic. People adjust away from an anchor, but never far enough.
In shopping, the first price you see for something becomes a reference point that reshapes every number that follows. A $90 shirt feels expensive. A $90 shirt next to a $300 shirt feels like the sensible middle option. The shirt did not change. Your reference point did.
A later study by Dan Ariely, George Loewenstein, and Drazen Prelec pushed this further. They showed that people's willingness to pay for everyday products was significantly shaped by a number written down moments before buying, even when that number was the last two digits of their Social Security number, which has no logical connection to any product's value. People with higher ending digits bid more. The anchor was random. The effect on spending was real.
The researchers called this “coherent arbitrariness.” Once a number settles in your head as a reference point, your subsequent choices are coherent relative to it. The anchor itself was arbitrary. This is what crossed-out prices, MSRPs, and “compare at” tags exploit. The common forms:
- Sale signs. A “was $120, now $60” tag makes $60 feel like a win. Whether $60 is a reasonable price for that specific thing often goes unasked.
- MSRP labels. The manufacturer's suggested retail price is usually set higher than anyone actually pays, specifically so that every real price looks like a discount.
- Luxury adjacency. Placing a $400 item next to a $1,200 item makes the $400 item look like the sensible choice. The $1,200 item exists to anchor the floor.
- Subscription tiers. Showing a $99 per month plan before a $29 per month plan makes $29 feel cheap, regardless of whether you need either one.
Why knowing about it does not protect you
You might think reading this makes you immune. Research suggests it does not. Gregory Northcraft and Margaret Neale tested this with experienced real estate agents, people whose job is estimating property values. They showed the same house to different groups with different listing prices and asked each group to value it. The agents' valuations tracked the listing prices, even when the listing was clearly above or below market. When asked about their reasoning afterward, the agents did not mention the listing price as a factor. They were not aware it had influenced them.
Knowledge of a bias is not a reliable defense against it. The anchoring effect operates before deliberate reasoning begins. Retailers know this and set anchors early, before you have a chance to think clearly about the actual price.
One question that resets the anchor
You cannot stop anchoring from happening, but a short audit undoes most of its force once you notice a reference price on a tag or screen.
Ask: what would I pay for this if I had never seen the higher price?
That is the only relevant question. Would you seek out this item at the current price if you had discovered it cold, with no markdown visible? If the answer is yes, it may be a purchase worth making. If the answer is no, or genuinely uncertain, the anchor is doing the work, not the value of the thing.
A second check worth running: does this earn its place in your actual life? Not in the version of your life where you use it as often as you imagined when you were standing in the store. The ordinary-Tuesday version. Anchoring is especially effective when an item is something you can picture yourself wanting but cannot easily picture yourself using regularly. The discount pulls focus away from that question.
A third approach is to replace the anchor entirely, not with a different store's price, which can become its own anchor, but with a different unit. What could this money become invested instead? What would it look like in 10 years? In 30? That reframe shifts the comparison away from the retailer's chosen reference point and toward a benchmark you actually care about. (See: What is opportunity cost?)
The anchor works because it arrives first. Replacing it with a number that matters more tends to make crossed-out prices feel far less compelling.
The same principle applies to other pricing traps built on reference points. (See: The decoy effect for a related pattern where a worse third option makes the more expensive one seem reasonable.)
The science behind it
- Tversky, A., & Kahneman, D. (1974). Judgment under Uncertainty: Heuristics and Biases. Science, 185(4157), 1124-1131. The foundational paper on how arbitrary first numbers distort subsequent estimates across domains.
- Ariely, D., Loewenstein, G., & Prelec, D. (2003). “Coherent Arbitrariness”: Stable Demand Curves without Stable Preferences. Quarterly Journal of Economics, 118(1), 73-106. Demonstrated that willingness to pay is shaped by anchors with no logical connection to a product's actual value.
- Northcraft, G. B., & Neale, M. A. (1987). Experts, Amateurs, and Real Estate: An Anchoring-and-Adjustment Perspective on Property Pricing Decisions. Organizational Behavior and Human Decision Processes, 39(1), 84-97. Showed that anchoring affects even domain experts who believe they are reasoning independently from a reference price.
How this helps you in CostMe
When you enter a price into Cost Me, the app shows its 30-year invested value rather than how it compares to an MSRP, so the retailer's anchor disappears and you see the real number.
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