# The $39 Dress That Outsold the $34 One ### Pricing-page psychology: what actually survives the research **Format:** target 8–12 min | **Audience:** builders designing pricing/buy pages **Core thesis (say it 3 times):** *Buyers don't compute prices — they compare them. You don't set a number; you set the comparison. And the famous tricks are the fragile ones.* Every number fact-checked against `research/pricing-research.md`; original pattern data from `mobbin/pricing-mobbin-audit.md` (n=60 web pricing pages, top SaaS, Aug 2026). ⚠️ margin notes not spoken. --- ## [0:00 – 0:45] COLD OPEN · ~110w **ON SCREEN:** Three identical dresses. $34 · $39 · $44. > A clothing catalog ran a real experiment. Same dress, three different price tests: thirty-four dollars, thirty-nine, forty-four. > > The $39 dress **outsold the $34 dress**. Charging five dollars *more* sold *more units* — in a small pilot, sixteen units at $34, twenty-one at $39. > > And when they scaled it across hundreds of thousands of real catalogs, nine-endings kept winning — up to thirty-five percent in one study. **ON SCREEN:** "Buyers don't compute prices. They compare them." > That result makes no sense if customers *compute* prices. It makes perfect sense once you know they *compare* them. > > This video is about what your pricing page is really doing: setting the comparisons. And most of what you've been taught about it — including the most famous pricing story on the internet — doesn't survive the research. > ⚠️ *Anderson & Simester 2003, QME — real randomized catalog field experiments. Pilot cells are tiny (say "small pilot"); scale studies: ≈+35% (60k catalogs), +22% new items (62.5k), ≈+7% (270k). $9-endings work as a "deal" cue — strongest for new items, muted when a Sale sign is present.* --- ## [0:45 – 1:20] ROADMAP · ~85w > Four parts. > > **One** — anchoring: the effect so robust it moves professional experts while they *deny it in writing*. > > **Two** — the most famous pricing story on the internet, told correctly for once — and the unglamorous effect that actually deserves its reputation. > > **Three** — the psychology of the price *digits themselves*, including a study of 78 million supermarket prices with a twist ending: the irrational actor isn't who you think. > > **Four** — we tallied 60 real SaaS pricing pages, and then we rebuild a bad one live. --- ## [1:20 – 3:20] ACT ONE — ANCHORS MOVE EXPERTS (AND THEY DENY IT) · ~300w **ON SCREEN:** A real house. A real-estate flyer with the price highlighted. > In 1987, researchers took real-estate agents — professionals, average 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 from one printed number. > > Here's the part I love. Asked how they reached their appraisal, the experts' written reports — quote — **"flatly denied"** using the listing price. Only 24 percent of professionals even *mentioned* it, versus 56 percent of amateurs. The more expert you are, the more invisible the anchor is to you. **ON SCREEN:** "Anchoring: 4 of the top 5 effect sizes in the Many Labs replication project." > And before you file this under "psychology studies that don't replicate" — anchoring is arguably the *best*-replicating effect in the field. In the big Many Labs project — thirty-six labs, six thousand people — anchoring effects took four of the top five effect sizes tested, and the replications came out *larger* than the originals. > > You will not feel it working. That's the design constraint. In a related study, 72 percent of executives whose bids had just tracked an arbitrary anchor claimed it had no influence on them. **ON SCREEN:** A pricing page: premium plan on the left. A strikethrough price. > On a pricing page, anchoring is two humble tools. **Order** — one field experiment with a bar menu found listing expensive items first lifted average spend about four percent. 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*. Which is precisely why regulators watch fake anchors: it works, so people fake it, so it's policed. Anchor with numbers that are true. > ⚠️ *Northcraft & Neale 1987: $67,811 vs $75,190, p<.01; denial 24.0% vs 56.2% — do NOT say the circulating "92%/56%". Many Labs: Klein et al. 2014. 72%: ALP 2003 executives companion (n=77). Bar study: Suk, Lee & Lichtenstein 2012, +$0.24 on ~$6 (~4%). Urbany et al. 1988 for reference prices.* --- ## [3:20 – 5:50] ACT TWO — THE FAMOUS EFFECT IS THE FRAGILE ONE · ~380w **ON SCREEN:** The Economist's old subscription ad: Web $59 · Print $125 · Print+Web $125. > Now the famous story. The Economist once offered three subscriptions: web-only for $59, print-only for $125, and print-plus-web — *also* $125. That middle option looks insane. Nobody should pick it. And in the famous 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**. With the decoy: 84 chose the bundle. Delete the decoy, ask a different hundred students: the bundle collapsed to 32. Great classroom demo. Zero real purchases measured. Nobody on earth knows what that pricing did to actual Economist subscriptions. > > And when researchers took the decoy effect to *realistic* products, it fell apart. A 2014 paper — "The Limits of Attraction" — ran the test across dozens of 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 your target made people flee the whole category. > > Even the researchers who *discovered* the effect in 1982 published a response conceding — their words — they suspect it *"occurs rarely in the marketplace today,"* and that their original stimuli were tuned until the demonstration worked. **ON SCREEN:** "The one that survives: the compromise effect." > So is tiered pricing psychology all fake? No — the wrong effect got famous. The one that survives is its unglamorous cousin: **the compromise effect**. People avoid the extremes and gravitate to the middle. > > Cleanest demo: two cameras, $170 and $240 — buyers split fifty-fifty. Add a $470 camera on top, and the middle camera jumps to **57 percent** 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** 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**. > ⚠️ *Ariely demo: 16/0/84 → 68/32, n=100 each, Predictably Irrational ch.1. Frederick, Lee & Baskin 2014: 0/27 with experiential stimuli; repulsion example: water target 70%→52%. Huber/Payne/Puto 2014 concessions verbatim-sourced. Simonson & Tversky 1992: Minolta 50/50 → 22/57/21 (n=115). Neumann et al. 2016: 142 obs. Do NOT say "3 tiers is research-optimal" — no source; the tier COUNT is convention, the middle-tilt is the science.* --- ## [5:50 – 7:30] ACT THREE — THE LEFT DIGIT, AND WHO'S REALLY IRRATIONAL · ~250w **ON SCREEN:** $2.99 → $3.00 vs $3.59 → $3.60. > Now the digits themselves. In the lab, $2.99 feels meaningfully smaller than $3.00 — but $3.59 versus $3.60 does nothing. 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**. 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 my favorite finding in this whole video: **the irrational actor is the firm.** Given bias that size, essentially *every* price should end in 99. Retailers use it on a third of prices, pricing as if the bias were a tenth of its real size — and the paper estimates they forgo **one to four percent of gross profits**. 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 — champagne at $40 outperforms $39.72. Charm endings whisper *deal*. Round numbers whisper *class*. Choose the whisper that matches your product — because as you're about to see, the best software companies already have. > ⚠️ *Thomas & Morwitz 2005 (mechanism); Strulov-Shlain 2023, RESTUD: θ≈0.2, 25 chains, ~3,500 products, 78M obs, 1–4% forgone profit. Don't say "consumers read $4.99 as $4" (perceived ≈$4.60–4.80). Wadhwa & Zhang 2015 for hedonic-round; note a 2026 preregistered null on $9.99-vs-$10 intentions exists — the field number (A&S) plus mechanism is the defensible stack.* --- ## [7:30 – 8:40] ACT FOUR — WHAT 60 REAL PRICING PAGES DO · ~180w **ON SCREEN:** Grid of pricing pages; counters animate. > We tallied sixty pricing pages from top software companies ourselves. Four findings. > > **One:** round numbers beat nine-endings. Only 40 percent use *any* 9-ending; 49 percent are entirely round — Linear, Loom, Ramp: clean tens and twenty-fives. Premium B2B has quietly chosen the quality whisper. And several products split the difference: charm-priced monthly, **round annual** — $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. > > **Two:** 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 percent** of the time it's an interior one. The market converged on exactly what the replicating research predicts. > > **Three:** annual is the default two-thirds of the time, framed as percent-off. > > **Four** — the one that surprised me: pressure is *rare* at the top. Countdown urgency: 5 percent. Clear decoy tiers: 5 percent. Strikethroughs: 12. **Elite pricing pages sell with structure and defaults, not pressure.** > ⚠️ *All from our audit (n=60, curated top-SaaS sample — say "top software companies," not "the industry"): 9-endings 22/55, round-only 27/55; 3 tiers 55%, enterprise unpriced 67%; interior highlight 25/30; annual default 17/27; urgency 3/60, decoys 3/60, strikethrough 7/60. Copy.ai $49→$36 example verified.* --- ## [8:40 – 10:50] ACT FIVE — THE TEARDOWN · ~330w **ON SCREEN:** Interactive demo. Fictional docs-collaboration SaaS, "Quill." Before page on the left, after on the right. > Let's rebuild one. Fictional SaaS — Quill, collaborative docs. The before page commits only sins we actually found in the sample. **HIGHLIGHT: the tier row** > **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 — remember, it's not there to sell; it's there to make the middle safe. And the middle one gets the highlight and the "Most popular" badge — where 83 percent of top pages put it. **HIGHLIGHT: the anchor** > **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: it works even when implausible, which is exactly why faking it is both tempting and policed. **HIGHLIGHT: the toggle** > **The default.** Before: monthly-first, with 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. You learned that combination in the paywall video; it's legal, it's honest, and it's the norm. **HIGHLIGHT: the numbers** > **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. **HIGHLIGHT: the pressure** > **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. **ON SCREEN:** Counter: anchors set honestly: 3 · pressure tactics: 0. > Structure, defaults, true anchors, matched signals. Nothing on the after page is a trick — every element just chooses the comparison the buyer was going to make anyway. --- ## [10:50 – 11:30] CLOSE · ~110w **ON SCREEN:** The three dresses again. > 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. **[CTA / outro]** --- --- # APPENDIX A — Optional expansion beats ### A1. The StubHub experiment and the regulation arc (+80 sec) — standalone segment after Act Three The strongest field evidence in all of pricing: StubHub randomized several million users — half saw all-in prices, half saw base prices with ~15% fees revealed only at checkout. Drip-fee users spent **+20.6%**, bought **better seats** (+5.4% per order), and even 10-visit veterans spent ~15% more. StubHub switched the whole platform two weeks later. Ten years on: FTC Junk Fees Rule (effective May 12, 2025) and California SB 478 make exactly that pattern illegal for tickets and lodging. A complete arc — 1998 lab paper → 2015 platform experiment → 2024–25 law — and the cleanest "it works AND it's wrong AND now it's illegal" story the channel will ever get. ⚠️ Don't cite the DOT airline rule — vacated. ### A2. Flat-rate bias: the honest ending (+45 sec) — after Act Four Lambrecht & Skiera, 10,882 DSL customers: **48% showed flat-rate bias; over half of those paid double** what their usage required — and didn't churn. Pay-per-use bias *did* churn. People knowingly overpay for the insurance feeling and the absence of the taxi meter. The uncomfortable truth: some "overpricing" is a product feature customers want. ### A3. Per-day framing on the pricing page (+30 sec) — cross-link to the paywall video Hershfield, Shu & Benartzi 2020: framing $150/month as "$5/day" roughly **quadrupled** enrollment (7%→30%) in a fintech field experiment — and erased the income gap in participation. Boundary and Apple-compliance caveats live in the paywall video; reference, don't rebuild. --- # APPENDIX B — Title, thumbnail, chapters **Titles** 1. `The $39 Dress That Outsold the $34 One` 2. `The Most Famous Pricing Trick Doesn't Work (This One Does)` 3. `I Checked 60 SaaS Pricing Pages Against the Research` 4. `Pricing Psychology That Survives Replication` **Thumbnail:** The three dresses with $34 crossed out and $39 circled, "+31% units". Or: Economist ad with a red stamp "NEVER TESTED". **Chapters** ``` 0:00 The $39 dress 0:45 What we're covering 1:20 Anchors move experts — and they deny it 3:20 The Economist story, told correctly 4:40 The effect that actually replicates 5:50 78 million prices and the 20-cent penny 7:30 What 60 real pricing pages do 8:40 Teardown: rebuilding Quill's pricing page 10:50 The rule: set the comparison ``` --- # APPENDIX C — Ranked cut list Baseline ~11:15 (≈1,690 spoken words @150wpm). | # | Cut | Saves | Cost | |---|---|---|---| | 1 | The 72%-of-executives line (Act One) | 0:10 | Redundant with realtors' denial — but it's the generalization. | | 2 | Bar-study ordering beat (Act One) | 0:15 | Loses the only field number for "expensive first"; the teardown's anchor beat survives via reference prices. | | 3 | The repulsion-effect aside (Act Two) | 0:10 | Colorful, skippable. | | 4 | Audit finding Three (annual default) | 0:10 | Covered again in the teardown toggle beat. | | 5 | The charm-monthly/round-annual sub-pattern | 0:15 | The most original audit detail — cut last. | | 6 | Wadhwa/round-quality boundary (Act Three) | 0:25 | Loses the setup for the teardown's digits beat — if cut, trim that beat too. | **Below ~9:30 you're cutting teaching.** For ~8:30: cuts 1–4 plus compress Act Five to four highlights (merge anchor into structure). --- # APPENDIX D — Production notes **Every number, with its source** | Claim | Source | Tier | |---|---|---| | $34/$39/$44 dress: 16 vs 21 units; scale: ≈+35%, +22% new items, ≈+7% | Anderson & Simester 2003, *QME* 1(1) | SOLID — flag "small pilot" for unit counts | | Realtors: $67,811 vs $75,190; "flatly denied"; 24.0% vs 56.2% mentioned | Northcraft & Neale 1987, *OBHDP* 39 | SOLID | | Anchoring 4 of top 5 effect sizes, 36 samples, N=6,344 | Klein et al. 2014, Many Labs 1 | SOLID | | 72% of executives denied influence | Ariely, Loewenstein & Prelec 2003 companion (n=77) | SOLID | | Bar menu descending order +$0.24 (~4%) | Suk, Lee & Lichtenstein 2012, *JMR* 49(5) | SOLID | | Reference prices work even implausible | Urbany, Bearden & Weilbaker 1988, *JCR* 15(1) | SOLID (qualitative) | | Economist demo 16/0/84 → 68/32, n=100 MBA students; Economist measured nothing | Ariely, *Predictably Irrational* 2008 ch.1 | SOLID as correction | | Decoy 0/27 with experiential stimuli; reversal cases | Frederick, Lee & Baskin 2014, *JMR* 51(4) | SOLID | | "Occurs rarely in the marketplace today"; stimuli tuned | Huber, Payne & Puto 2014, *JMR* 51(4) | SOLID (verbatim) | | Cameras 50/50 → 22/57/21 | Simonson & Tversky 1992, *JMR* 29(3), n=106/115 | SOLID | | Compromise robust across 142 observations | Neumann, Böckenholt & Sinha 2016, *JCP* 26(2) | SOLID | | $2.99/$3.00 vs $3.59/$3.60 mechanism | Thomas & Morwitz 2005, *JCR* 32(1) | SOLID (lab) | | 78M observations; $4.99→$5.00 ≈ 20¢; firms forgo 1–4% | Strulov-Shlain 2023, *RESTUD* 90(5) | SOLID | | Round wins for hedonic ($40 champagne) | Wadhwa & Zhang 2015, *JCR* 41(5) | SOLID (lab) | | Audit: 40% any 9-ending / 49% round; 55% 3-tier; 67% unpriced enterprise; 83% interior highlight; 63% annual default; urgency 5%, decoy 5%, strikethrough 12%; Copy.ai $49→$36 | Our Mobbin audit, n=60, Aug 2026 | Original data — say "top software companies we sampled" | **Delivery notes** - Act Two is the signature segment — the "told correctly for once" energy must be generous, not smug. Ariely's demo is *good teaching*; the sin is everyone else's retelling. - ⚠️ If a commenter raises Ariely's 2021 retraction (unrelated honesty-paper fabrication): prepared reply in the research brief, Correction 1. The script deliberately leans on Simonson/Tversky/Frederick for the load-bearing claims. - "You will not feel it working" — direct to camera, no graphics. - Never say: "Economist tripled revenue," "decoy boosts sales 30%," "3 tiers is research-optimal," "consumers read $4.99 as $4," "92% vs 56% denial," any Wimbledon center-stage study (doesn't exist), unpublished ProfitWell lore. Full blacklist in the brief. **Demo spec** — `demo-spec.md` in this folder; teardown beats match Act Five highlights.