CRO / Pricing
Charm Pricing and Anchoring Explained
// shoppers judge a price by what sits next to it
By Fracto Solutions
October 28, 2026
The short answer
Charm pricing shifts the perceived price bracket, but only when the leading digit changes, and one large experiment failed to reproduce it. Anchoring is the better-supported of the two and replicates strongly. Use genuine references only: fabricated ‘was’ prices are regulated in the US, EU and UK, with different tests in each.
Why does $19.99 feel cheaper than $20?
Because shoppers encode price magnitude starting from the leading digits, so $19.99 lands in the “nineteen” bracket rather than the “twenty” one. That is the left-digit effect, and it is real, but it is narrower than the popular version and it has one notable failure to replicate.
The research is Thomas and Morwitz, “Penny Wise and Pound Foolish”, Journal of Consumer Research, 2005. The boundary condition almost never survives into marketing write-ups: the effect occurs only when the leftmost digit changes. $2.99 against $3.00 produces it. $3.59 against $3.60 does not. A .99 ending that does not cross a digit boundary is doing nothing for you.
The field evidence is Anderson and Simester, 2003, three randomized mail-order catalog experiments. In the clothing test a $39 dress outsold the same dress at $34: a higher price produced more demand. Keep the scale in mind, though. That rests on 66 units at 9-ending prices against 43 at $5 less and 48 at $5 more, in one apparel category, in 1990s catalogs. The effect was stronger for new products than established ones, and weaker when a “Sale” cue was already shown.
And the counterweight: Fenneman and colleagues (PLOS ONE, 2022) ran 266 participants through 4,788 incentivized purchasing decisions and found no support for the left-digit effect at all. One null does not erase two decades of evidence, but it means you should test .99 against round on your own prices rather than treat it as settled. This sits under the pricing pillar.
Should premium brands avoid .99 endings?
Probably, but not for the reason usually given. The rule “round signals quality, .99 signals a deal” is a simplification of research that found something different, and one study points the opposite way entirely.
The paper people cite is Wadhwa and Zhang, Journal of Consumer Research, 2015. What it actually found is a fit effect, not a premium effect: rounded prices encourage shoppers to rely on feelings, non-rounded prices encourage them to rely on cognition, and a product is evaluated more favorably when the price format matches the purchase motivation. Round price for an emotionally-driven purchase, precise price for a reason-driven one. Nothing in it says round numbers signal quality, and a round price on a utilitarian purchase can hurt.
Thomas, Simon and Kadiyali (Marketing Science, 2010) go further: precise prices are judged lower in magnitude than round ones, and in real-estate market data buyers paid higher prices when list prices were more precise. That is the reverse of “precise reads as cheap”.
Claim
What the research supports
".99 feels cheaper"
Only across a leading-digit boundary; one large 2022 null
"Round equals premium"
Not supported; the real finding is format-motivation fit
"Precise reads as cheap"
Contradicted: precise prices judged lower but anchored buyers higher
"Match the ending to your brand"
Our judgment, not a finding. Worth testing
We keep the brand-consistency advice because it is sensible and harmless, but we label it as ours rather than borrowing authority from research that says something else.
What is anchoring, and how well does it hold up?
Anchoring is giving shoppers a reference price so yours looks reasonable by comparison. It is the one tactic on this page with strong replication behind it, and it holds in a specific form: the shopper has to actually consider the reference number.
The origin is Tversky and Kahneman, 1974. What matters more for a merchant is how it has held up. Many Labs 1 (Klein et al., 2014) tested four classic anchoring items across 36 sites and 6,344 participants and replicated all four, with effect sizes larger than the originals, d from 1.27 to 2.60. That puts anchoring among the most robust findings in the whole replication project, at a time when several neighbours collapsed.
Two boundaries. Incidental anchoring failed. Many Labs 2, with 15,305 participants, tested anchors sitting in the background rather than explicitly considered and found d = 0.04, confidence interval crossing zero. A number lying around on the page is not an anchor; a reference price the shopper reads and weighs is. And the Many Labs 1 effects come from estimation tasks, not purchases: in consumer settings expect something closer to d = 0.2.
In practice: a premium option beside a mid one, a genuine MSRP, a real “was” price. Put it where the shopper will actually read it, and expect it to shift perception modestly rather than dramatically.
What are the rules on reference and 'was' prices?
Stricter than “do not make it up”, and materially different in each market. If you sell internationally you need all three. This is general information, not legal advice.
US. FTC Guides Against Deceptive Pricing, 16 CFR Part 233. A former price must be “the actual, bona fide price at which the article was offered to the public on a regular basis for a reasonably substantial period of time”, and §233.1 condemns an “artificial, inflated price established for the purpose of enabling the subsequent offer of a large reduction”. §233.3 treats a manufacturer list price as deceptive where it sits significantly above the highest price at which substantial sales occur. These are guides enforced through FTC Act §5, but the live risk is state law: California Business and Professions Code §17501 requires the former price to have been the prevailing market price within the three months before the ad, and strikethrough-pricing class actions under it are filed constantly.
EU. Price Indication Directive 98/6/EC Article 6a, applicable since 28 May 2022: any announcement of a price reduction must state the prior price, defined as the lowest price you applied during at least the 30 days before the reduction. Penalties are at least 4% of turnover in the affected member states. The CJEU confirmed in Case C-330/23 (Aldi Sued, 26 September 2024) that a percentage reduction must be calculated on that 30-day lowest price, not on the most recent or crossed-out one.
UK. The DMCC Act 2024 applies from 6 April 2025, and the CMA can fine directly, without court, up to 10% of global turnover. The High Court in CMA v Emma Sleep (30 July 2026) declined to impose the CMA’s proposed fixed volume ratio and adopted a contextual test instead, weighing how long the reference price applied, actual sales, the trader’s genuine intent to sell at it, and presentation. Practically: document the basis for a reference price before the campaign runs.
Good-better-best tiers are a cleaner way to anchor, since the reference is a real product at a real price. Note that the compromise effect shifts which tier people choose more than whether they buy.
How do I use these without feeling manipulative?
Keep the references genuine and the tiers real, then test whether any of it actually helps. The honest version is also the legally safe one, which is unusually convenient.
Shoppers are price-literate, and the research gives you less of an edge than the folklore suggests: one effect that works only at digit boundaries, one rule that misreads its own source, and one solid effect that is modest in the field. That argues for genuine value over clever framing.
So: use a real reference price, make tiers genuinely different, and test the change on your own traffic.
We apply pricing psychology honestly, then test whether it actually moves the needle.
We match charm versus round pricing to your brand, set up genuine anchors and tiers that help shoppers judge value, avoid the fake-urgency traps, and test the changes so you keep what works rather than assuming the textbook effect applies to your store.
It’s the same measurement-first approach behind our conversion optimization work, where we rebuild the buying path and measure the result .
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Frequently asked questions
Does ending prices in .99 really work?
Only across a leading-digit boundary. Thomas and Morwitz found $2.99 against $3.00 produces the effect while $3.59 against $3.60 does not, so a .99 ending that does not cross a digit boundary does nothing. A 2022 experiment with 4,788 incentivized decisions failed to reproduce the effect at all, so test it rather than assuming it.
What is price anchoring, and does it hold up?
Showing a higher reference price so yours feels reasonable. It is the best-supported tactic here: Many Labs 1 replicated four classic anchoring items across 6,344 participants with effect sizes larger than the originals. But incidental background numbers failed in Many Labs 2, and field effects in consumer settings are far smaller than lab effects.
Should premium brands use charm pricing?
Probably not, though the usual reason is wrong. Wadhwa and Zhang found a fit effect rather than a premium effect: round prices suit emotionally-driven purchases, precise prices suit reason-driven ones. Separately, Thomas, Simon and Kadiyali found precise prices are judged lower in magnitude, which is the reverse of ‘precise reads as cheap’.
Is anchoring with a 'was' price allowed?
Only if the reference is genuine, and the test differs by market. US guidance requires a bona fide former price offered on a regular basis for a reasonably substantial period, with California adding a three-month prevailing-price test. The EU requires the lowest price applied in at least the previous 30 days. The UK applies a contextual test with CMA fines up to 10% of global turnover.
Do three-tier prices really push people to the middle?
They shift which tier people choose. Simonson found middle options gained about 17.5 percentage points of share, but a 2023 meta-analysis found the compromise effect only weakly affects absolute choice share, so it manages mix rather than growing demand. The related decoy tactic is null in all 19 published studies using realistic products.
Sources
Charm pricing and the left-digit effect: Thomas and Morwitz, “Penny Wise and Pound Foolish: The Left-Digit Effect in Price Cognition”, Journal of Consumer Research 32(1), 2005, five lab experiments on student samples. The effect occurs only when the leftmost digit changes: $2.99 against $3.00 produces it, $3.59 against $3.60 does not. Field evidence: Anderson and Simester, “Effects of $9 Price Endings on Retail Sales”, Quantitative Marketing and Economics 1(1), 2003, three randomized mail-order catalog experiments. In the clothing test a $39 dress outsold the same dress at $34, on 66 units at 9-ending prices against 43 at $5 less and 48 at $5 more; those counts are small, it is one apparel category, and the data is from 1990s catalogs. The effect was stronger for new products than established ones and weaker when a “Sale” cue was already shown. https://doi.org/10.1086/429600
The failed replication: Fenneman, Sickmann, Fullbrunn, Goldbach and Pitz, “Psychological price perception may exert a weaker effect on purchasing decisions than previously suggested”, PLOS ONE 17(8), 2022, e0270850. 266 participants, 4,788 incentivized purchasing decisions with systematically varied prices, finding no support for either the left-digit effect or the perceptual-fluency effect behind round pricing. A 2020 Journal of Marketing Research extension of the left-digit bias was independently replicated with the key interaction only marginally significant. https://doi.org/10.1371/journal.pone.0270850
Round versus precise prices: Wadhwa and Zhang, “This Number Just Feels Right”, Journal of Consumer Research 41(5), 2015, five experiments. The finding is a fit effect, not a premium effect: rounded prices encourage reliance on feelings and non-rounded prices on cognition, and products are evaluated more favorably when the format matches the purchase motivation, so a round price on a utilitarian purchase can hurt. Pointing the other way, Thomas, Simon and Kadiyali, “The Price Precision Effect”, Marketing Science 29(1), 2010, found precise prices are judged lower in magnitude than round ones, and in residential real-estate market data buyers paid higher prices when list prices were more precise. https://doi.org/10.1086/678484 and https://doi.org/10.1287/mksc.1090.0512
Anchoring: Tversky and Kahneman, “Judgment under Uncertainty”, Science 185(4157), 1974. Classic, explicitly-considered anchoring replicated strongly in Many Labs 1 (Klein et al., Social Psychology 45(3), 2014): four anchoring items across 36 sites and 6,344 participants, all four replicating with effect sizes larger than the originals, d from 1.27 to 2.60. Incidental or background anchoring failed in Many Labs 2 (2018, 15,305 participants): d = 0.04, 95% CI -0.01 to 0.09. The large Many Labs 1 effects come from numeric estimation tasks rather than purchase decisions; field estimates in consumer settings are around d = 0.2. https://doi.org/10.1027/1864-9335/a000178
Tiering and the decoy effect: Simonson, “Choice Based on Reasons”, Journal of Consumer Research 16(2), 1989: 372 business students across three universities; options gained on average 17.5 percentage points of share as the middle option. The decoy or attraction effect does not hold up: Frederick, Lee and Baskin, “The Limits of Attraction”, Journal of Marketing Research 51(4), 2014, ran 38 studies and found no significant attraction effect in 27 of them, including all 19 that used realistic stimuli, with repulsion effects in several. https://doi.org/10.1509/jmr.12.0061
Reference and “was” prices: in the US, FTC Guides Against Deceptive Pricing, 16 CFR Part 233. §233.1 requires a former price to be “the actual, bona fide price at which the article was offered to the public on a regular basis for a reasonably substantial period of time”, and condemns an “artificial, inflated price established for the purpose of enabling the subsequent offer of a large reduction”. §233.3 treats a manufacturer list price as deceptive where it is significantly above the highest price at which substantial sales are made. California Business and Professions Code §17501 adds a three-month prevailing-market-price test with class-action exposure. In the EU, Price Indication Directive 98/6/EC Article 6a, applicable from 28 May 2022, requires any announcement of a price reduction to state the lowest price applied in at least the previous 30 days, with penalties of at least 4% of turnover; the CJEU confirmed in Case C-330/23 (Aldi Sued, 26 September 2024) that a percentage reduction must be calculated on that figure. In the UK the DMCC Act 2024 applies from 6 April 2025 with direct CMA fines up to 10% of global turnover, and CMA v Emma Sleep (High Court, 30 July 2026) replaced a fixed volume ratio with a contextual genuineness test. https://eur-lex.europa.eu/eli/dir/1998/6/2022-05-28/eng
Stated as Fracto’s position, not research: that charm endings suit value positioning and round numbers suit premium positioning. The underlying research does not support that rule as stated, so we present it as a brand-consistency judgment to test rather than a finding. Everything above it on this page is sourced, including the parts that undercut the popular version.