# The $39 Dress That Outsold the $34 One

*Pricing-page psychology: what actually survives the research.*

A clothing catalog once ran a real experiment. Same dress, three price tests: $34, $39, $44. The $39 dress [outsold the $34 dress](https://www.kellogg.northwestern.edu/faculty/anderson_e/htm/personalpage_files/Papers/Effects_of_9_Price_Endings_on_Retail_Sales.pdf) — charging five dollars *more* sold *more units*. In a small pilot, sixteen units at $34, twenty-one at $39. And when Anderson and Simester scaled the test across hundreds of thousands of real catalogs, nine-endings kept winning — [up to 35% in one 60,000-catalog study](https://www.kellogg.northwestern.edu/faculty/anderson_e/htm/personalpage_files/Papers/Effects_of_9_Price_Endings_on_Retail_Sales.pdf), with the effect strongest for new items and muted when a "Sale" sign was already present.

That result makes no sense if customers *compute* prices. It makes perfect sense once you know they *compare* them.

**Buyers don't compute prices — they compare them.** You don't set a number; you set the comparison. That's what your pricing page is really doing. And most of what you've been taught about it — including the most famous pricing story on the internet — doesn't survive the research.

Four parts. First, anchoring: the effect so robust it moves professional experts while they deny it in writing. Second, the famous story, told correctly for once — and the unglamorous effect that actually deserves its reputation. Third, the psychology of the price digits themselves, including a study of 78 million supermarket prices with a twist ending. Fourth, what 60 real SaaS pricing pages actually do — and then we rebuild a bad one.

## Anchors move experts — and they deny it

In 1987, researchers took real-estate agents — professionals with an average of seven years' experience — to a real house in Tucson. Same house, same ten-page information packet, real walkthrough. One thing varied: the listing price printed on the sheet.

Agents who saw a low listing price appraised the house at about $67,800. Agents who saw a high one: about $75,200. Same walls, same roof — [a $7,400 swing in professional judgment](https://www.smallprojectsbureau.com/wp-content/uploads/2020/01/northcraft_neale.pdf) from one printed number.

Here's the best part. Asked how they reached their appraisals, the experts' written reports — in the paper's words — ["flatly denied"](https://www.smallprojectsbureau.com/wp-content/uploads/2020/01/northcraft_neale.pdf) using the listing price. Only 24% of the professionals even mentioned it, versus 56% of amateurs. The more expert you are, the more invisible the anchor is to you.

Before you file this under "psychology studies that don't replicate": anchoring is arguably the best-replicating effect in the field. In the Many Labs replication project — 36 labs, more than 6,000 participants — anchoring effects took [four of the top five effect sizes tested](https://stanford.edu/~knutson/jdm/klein14.pdf), and the replications came out *larger* than the originals.

You will not feel it working. That's the design constraint. In a related study of executives whose bids had just tracked an arbitrary anchor, [72% claimed it had no influence on them](https://web.mit.edu/ariely/www/MIT/Chapters/CA.pdf).

On a pricing page, anchoring comes down to two humble tools. **Order:** one eight-week field experiment with a bar menu found that listing expensive items first lifted average spend by about 4% — $6.02 versus $5.78 per beer (Suk, Lee & Lichtenstein 2012, *Journal of Marketing Research*). Small, real, honest number. And the **reference price** — "was $79, now $49" — which peer-reviewed work found [raises perceived value even when the reference price is implausible](https://academic.oup.com/jcr/article-abstract/15/1/95/1840979). Which is precisely why regulators watch fake anchors: it works, so people fake it, so it's policed. Anchor with numbers that are true.

## The famous effect is the fragile one

Now the famous story. The Economist once offered three subscriptions: web-only for $59, print-only for $125, and print-plus-web — *also* $125. The middle option looks insane. Nobody should pick it. In the standard telling, that's the genius: a decoy that makes the expensive bundle look brilliant.

Here's what actually happened. **The Economist never ran an experiment.** Dan Ariely saw the ad and surveyed a hundred MBA students — a classroom demo, described in *Predictably Irrational* (2008), chapter one. With the decoy present, 84 of 100 chose the bundle. Delete the decoy and ask a different hundred students, and the bundle collapsed to 32. It's a great demo. But The Economist measured nothing — zero real purchases. Nobody on earth knows what that pricing did to actual subscriptions.

And when researchers took the decoy effect to realistic products, it fell apart. A 2014 paper — ["The Limits of Attraction"](https://web2-bschool.nus.edu.sg/wp-content/uploads/media_rp/publications/tF83O1430805722.pdf) — ran the test across 38 studies. With abstract numbers in a table, the effect appears. With products you can see, taste, or hold: **zero significant decoy effects in 27 attempts** — and occasionally a reversal, where the ugly option next to the target made people flee the whole category.

Even the researchers who discovered the effect in 1982 published a response conceding — [their words](https://people.duke.edu/~jch8/bio/Papers/HuberPaynePutoJMR%202014.pdf) — that they suspect it "occurs rarely in the marketplace today," and that their original stimuli were tuned until the demonstration worked.

So is tiered-pricing psychology all fake? No — the wrong effect got famous. **The famous effect is the fragile one.** The one that survives is its unglamorous cousin: the **compromise effect**. People avoid extremes and gravitate to the middle.

The cleanest demo: two cameras, $170 and $240 — buyers [split fifty-fifty](https://cognition.aau.at/bg/BA/Simon%20&%20tversky,%201992.pdf). Add a $470 camera on top, and the middle camera jumps to 57% while the cheap one crashes to 22%. **Adding a premium option didn't sell the premium option — it sold the middle.**

And unlike the decoy, this replicates. A meta-analysis across [142 observations](https://doi.org/10.1016/j.jcps.2015.05.005) finds extremeness aversion robust: the same product becomes dramatically more attractive when it's positioned as the intermediate choice.

That's why good-better-best exists. Not the decoy. Your third tier isn't there to be chosen — it's there to make the middle *safe*.

## The left digit — and who's really irrational

Now the digits themselves. In the lab, $2.99 feels meaningfully smaller than $3.00 — but [$3.59 versus $3.60 does nothing](https://web.archive.org/web/2020/http://forum.johnson.cornell.edu/faculty/mthomas/LeftDigitEffect.pdf). Same one cent. The difference is the left digit: your brain anchors on it before it finishes reading the number.

How big is this in the real world? A 2023 study analyzed [78 million supermarket price observations](https://academic.oup.com/restud/article-abstract/90/5/2612/6931812) across 25 US chains. Crossing a dollar boundary — $4.99 to $5.00 — hits demand like a *twenty-cent* increase. A one-cent move, priced by shoppers as twenty.

But here's the twist, and it's the best finding in this whole piece: **the irrational actor is the firm.** Given a bias that size, essentially every price should end in 99. Retailers use it on roughly a third of prices, pricing as if the bias were a tenth of its real size — and the paper estimates they [forgo 1–4% of gross profits](https://academic.oup.com/restud/article-abstract/90/5/2612/6931812). The customers are predictably biased; the *companies* are the ones leaving money on the table.

One boundary before you 99-everything: round prices carry their own signal — quality. Research on hedonic purchases finds round numbers can [win for premium, feel-good products](https://www.smallprojectsbureau.com/wp-content/uploads/2020/01/wadhwa-zhang-2015.pdf) — champagne at $40 outperformed $39.72. Charm endings whisper *deal*. Round numbers whisper *class*. Choose the whisper that matches your product — because the best software companies already have.

## What 60 real pricing pages do

We tallied 60 pricing pages from top software companies ourselves. Four findings.

**What 60 pricing pages from top SaaS companies do — our sample, Aug 2026**

| Pattern | Share of sample |
|---|---|
| Any 9-ending price | 40% |
| Entirely round pricing (Linear, Loom, Ramp: clean tens and twenty-fives) | 49% |
| Exactly three priced tiers | 55% |
| Unpriced "Contact sales" tier as the top extreme | 67% |
| Highlighted tier is an *interior* tier (when any tier is highlighted) | 83% |
| Annual billing as the default toggle | 63% |
| Countdown / urgency timers | 5% |
| Clear decoy tiers | 5% |
| Strikethrough reference prices | 12% |

First: round numbers beat nine-endings. Premium B2B has quietly chosen the quality whisper. Several products split the difference — charm-priced monthly, round annual: Copy.ai shows $49 a month, or a clean $36 when billed yearly. The deal signal on the price they anchor with; the quality signal on the plan they want you on.

Second: the compromise structure is the standard. Over half show exactly three tiers, two-thirds park an unpriced "Contact sales" tier on top as the extreme, and when a tier is highlighted, 83% of the time it's an interior one. The market converged on exactly what the replicating research predicts.

Third: annual is the default two-thirds of the time, framed as percent-off.

Fourth — the surprise: pressure is *rare* at the top. Countdown urgency, 5%. Clear decoys, 5%. Strikethroughs, 12%. Elite pricing pages sell with structure and defaults, not pressure.

## Teardown: rebuilding Quill's pricing page

Let's rebuild one. Quill is a fictional docs-collaboration SaaS whose "before" page commits only sins we actually found in the sample. Explore the interactive before/after: [demo.html](demo.html).

**Structure.** Before: four cards, identical visual weight, listed backwards — most expensive first, free plan last — and nothing highlighted. Every tier screams equally, so nothing is safe to choose. After: three tiers plus "Contact sales." The premium tier stays — it's not there to sell; it's there to make the middle safe. The middle tier gets the highlight and the "Most popular" badge, where 83% of top pages in our sample put it.

**The anchor.** Before: the page hides its expensive option in a footnote. After: "Contact sales" sits visibly on the right, and the strikethrough on the annual price — $180 crossed out, $144 — is real math from real monthly billing, not a fake was-price. True anchors only: [reference prices work even when implausible](https://academic.oup.com/jcr/article-abstract/15/1/95/1840979), which is exactly why faking them is both tempting and policed.

**The default.** Before: monthly-first, annual hidden in fine print. After: the toggle defaults to annual — like two-thirds of top pages — framed as "Save 20%," with the monthly equivalent shown *and* the true billed total. Legal, honest, and the norm.

**The digits.** Before: $23.99 / $47.99 / $95.99 — deal-whisper pricing on a product pitching itself to design teams. After: $12 / $24 / $48 per seat. Round, confident, computable — you can do the seat math in your head, and the doubling pattern makes the ladder legible. If your brand sells premium, price like it.

**The pressure.** Before: a countdown timer on a SaaS subscription — "offer ends in 4:59" — and a vague "5x more usage" as the only differentiation. After: the timer is deleted, and each tier gets one line of who it's for — "For personal projects," "For growing teams," "For organizations." Audience labels do what fake urgency can't: they let the buyer self-select into the right comparison.

Final tally: anchors set honestly, 3; pressure tactics, 0. Nothing on the after page is a trick — every element just chooses the comparison the buyer was going to make anyway.

## Set the comparison

The $39 dress outsold the $34 dress because nobody computes prices — we compare them. Your pricing page can't opt out of that. The only choice is whether you set the comparisons deliberately or by accident.

So: anchor high and honestly. Make the middle safe — that's the effect that replicates. Match your digits to your signal: charm for deals, round for premium. And skip the countdown timer — the best companies in software already have.

Tonight, open your pricing page and ask one question: **what is my most expensive option doing for my middle one?** If the answer is "nothing" — now you know what to build.

---

## Sources

- Anderson & Simester (2003), "Effects of $9 Price Endings on Retail Sales," *Quantitative Marketing and Economics* 1(1) — [PDF](https://www.kellogg.northwestern.edu/faculty/anderson_e/htm/personalpage_files/Papers/Effects_of_9_Price_Endings_on_Retail_Sales.pdf)
- Northcraft & Neale (1987), "Experts, Amateurs, and Real Estate," *OBHDP* 39 — [PDF](https://www.smallprojectsbureau.com/wp-content/uploads/2020/01/northcraft_neale.pdf)
- Klein et al. (2014), Many Labs 1, *Social Psychology* 45 — [PDF](https://stanford.edu/~knutson/jdm/klein14.pdf)
- Ariely, Loewenstein & Prelec (2003), "Coherent Arbitrariness," *QJE* 118(1) — [PDF](https://web.mit.edu/ariely/www/MIT/Chapters/CA.pdf)
- Suk, Lee & Lichtenstein (2012), *Journal of Marketing Research* 49(5), 708–717
- Urbany, Bearden & Weilbaker (1988), *Journal of Consumer Research* 15(1) — [abstract](https://academic.oup.com/jcr/article-abstract/15/1/95/1840979)
- Ariely (2008), *Predictably Irrational*, ch. 1 (the Economist classroom demo)
- Frederick, Lee & Baskin (2014), "The Limits of Attraction," *JMR* 51(4) — [PDF](https://web2-bschool.nus.edu.sg/wp-content/uploads/media_rp/publications/tF83O1430805722.pdf)
- Huber, Payne & Puto (2014), "Let's Be Honest About the Attraction Effect," *JMR* 51(4) — [PDF](https://people.duke.edu/~jch8/bio/Papers/HuberPaynePutoJMR%202014.pdf)
- Simonson & Tversky (1992), *JMR* 29(3) — [PDF](https://cognition.aau.at/bg/BA/Simon%20&%20tversky,%201992.pdf)
- Neumann, Böckenholt & Sinha (2016), meta-analysis, *Journal of Consumer Psychology* 26(2) — [DOI](https://doi.org/10.1016/j.jcps.2015.05.005)
- Thomas & Morwitz (2005), "Penny Wise and Pound Foolish," *JCR* 32(1) — [archived PDF](https://web.archive.org/web/2020/http://forum.johnson.cornell.edu/faculty/mthomas/LeftDigitEffect.pdf)
- Strulov-Shlain (2023), "More Than a Penny's Worth," *Review of Economic Studies* 90(5) — [abstract](https://academic.oup.com/restud/article-abstract/90/5/2612/6931812)
- Wadhwa & Zhang (2015), *JCR* 41(5) — [PDF](https://www.smallprojectsbureau.com/wp-content/uploads/2020/01/wadhwa-zhang-2015.pdf)
- Pricing-page audit: our sample of 60 web pricing pages from top SaaS companies, collected via Mobbin, August 2026

*Evidence types: peer-reviewed lab and field studies throughout, except the Anderson & Simester and Suk et al. results (randomized field experiments), the Ariely Economist numbers (a classroom survey, not a field test), and the 60-page audit (our own curated sample, not a random draw of the industry).*