Sizing a boot that fits nothing like a shoe
Size-related returns 27% → 9%
A winter sports brand sold boots in mondopoint while its customers think in shoe sizes, and absorbed a quarter of orders back every season. A proper sizing system fixed the returns and the reviews with them.

At a glance
- Category
- Winter Sports
- Marketplaces
- US, CA
- Revenue at start
- $246k / month in season
- Problem
- 27% returns, nearly all size-related
- Engagement
- Creative & content + listing SEO
- Timeframe
- 9 months, spanning one full season
Results
The challenge
The boots are sized in mondopoint, which is the correct way to size them and a system almost no online shopper uses. The listing printed the mondopoint value, a converted shoe size from a chart of unclear origin, and nothing about width, volume or how a performance fit is supposed to feel — which is snugger than any shoe the buyer owns.
A quarter of every season's orders came back. Worse, the reviews carried the confusion forward: a third of them discussed sizing, which meant the next shopper arrived already unsure, and either bought a size up to be safe — producing a boot that performs badly and gets returned for a different reason — or did not buy at all.
Our approach
We replaced a conversion chart with a measurement method.
- Measure, don't convert — a foot-length-in-centimeters guide as the primary instruction, since mondopoint is that measurement and the shoe-size detour is where the error enters.
- Width and volume stated separately, with plain guidance on which model suits which foot shape.
- Fit expectation set explicitly — what a correct performance fit feels like on day one versus after packing out, which prevents the size-up reflex.
- Variation family and size charts corrected, so the size selected in the dropdown matches the size described in the content on every listing.
How we worked
- 1
Code the returns
One full season of returns categorized: 89% size-related, two thirds of them a boot returned as too large after the shopper had sized up to be safe.
- 2
Rebuild the chart
A measurement-based chart produced from the actual lasts rather than a generic conversion table.
- 3
Rewrite the content
Measurement guide, width guidance and fit expectation added to the image stack and A+ on every boot listing.
- 4
Fix the catalog data
Size attributes and variation families corrected so the dropdown, the chart and the copy finally agree.
- 5
Watch the season
Returns tracked weekly through the season; two models still over-returning were re-measured and their guidance corrected mid-season.
Inside the ad account

Anonymized account view, rebuilt from the figures reported above: ad sales growing from $111k to $160k a month while ACoS falls from 34% to 22% across the 7-month engagement.
The results
Size-related returns fell from 27% to 9%, and net revenue for the season rose 44% against the same season a year earlier — most of it from orders that previously came back rather than from new demand.
Conversion rose 20% because the page now gives a shopper a way to be confident before ordering, and the review body changed with it: sizing mentions fell from a third of reviews to under a tenth, which removes the doubt the next shopper used to inherit.
“We'd been publishing a conversion chart nobody could trace. Telling people to measure their foot in centimeters was the entire fix.”
Services we delivered
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