The size-chart audit: where bracketing starts

September 29, 2026

Most bracketing conversations start at the return policy. That is where the cost shows up, so it is where the attention goes. But the decision to order three sizes is usually made much earlier, on the product page, in the thirty seconds a shopper spends staring at your size chart and failing to find herself in it.

Bracketing is, at its core, a fit-confidence problem. Shoppers who trust the fit buy one size. Shoppers who do not buy the size run and let the return label resolve the uncertainty. If you want to reduce bracketing at the source, the size chart is the first thing to audit, because it is the first place confidence breaks down.

What a size-chart audit actually covers

A real audit goes beyond checking that measurements are accurate. Accuracy is table stakes. The audit asks whether the chart answers the questions shoppers are actually asking: where on my body do I measure, how does this brand's medium compare to the last brand's medium, and what happens between sizes when I fall in the gap.

Pull your five highest-bracketed SKUs and read their size charts the way a shopper would. Look for charts that show only finished garment measurements without body measurements, charts that use one generic table across categories with different fit models, and charts buried two clicks deep on mobile where nobody will find them. Each of these is a direct driver of multi-size orders, because each one leaves the shopper guessing.

The between-sizes gap is the expensive part

The highest bracketing rates almost always come from shoppers who fall between sizes. If your chart says a medium is a 38 to 40 inch chest and a large is 42 to 44, the 41-inch shopper has no correct answer. She orders both. This is not a policy problem and it is not a fraud problem. It is a chart problem with a straightforward fix: publish fit guidance for the gaps, like which way to size for a relaxed versus tailored fit, and back it with fit-model notes per style.

Brands that add between-size guidance typically see the effect concentrated exactly where the bracketing was worst. It is one of the cheapest interventions in the whole returns toolkit, and it works because it targets the exact moment of uncertainty.

One chart per category is not a chart

Denim fits differently from woven shirts, which fit differently from knit tees, yet plenty of brands publish a single generic size table and call it done. A shopper who wears a medium in your tees has no reason to trust that medium in your denim, so she brackets the denim. Category-specific charts cost more to maintain, but they pay for themselves in the categories with the worst bracketing rates.

Prioritize by bracketing concentration. If denim drives most of your multi-size orders, denim gets its own chart first, with rise, inseam, and leg opening, not just waist. Work down the list until the remaining categories are small enough that generic guidance is acceptable.

Measure the chart, not just the returns

You cannot improve what you do not measure, and most brands never measure size-chart effectiveness at all. Track the bracketing rate per SKU alongside size-chart engagement: views of the chart, time on the chart, and the correlation between chart views and bracketed orders. A chart that gets heavy traffic and still produces brackets is a chart that is failing at its job.

Run the audit quarterly, not once. Sizing drifts as fit models change, as factories shift, and as you add categories. The brands with the lowest bracketing rates treat the size chart as a living product surface, reviewed on a schedule, not a static asset published once and forgotten.