# Bracketing benchmarks for apparel brands | BracketFence

Source: https://bracketfence.com/blog/bracketing-benchmarks.html

How much bracketing is normal? It varies by category, but some patterns hold across apparel.

Footwear and denim, where fit is least forgiving, tend to carry the highest multi-unit order rates. Basics and knitwear carry the least. Categories with vanity sizing see bracketing concentrated in a confused middle band of customers.

The more useful benchmark is internal: what share of your bracketing comes from repeat behavior? For most brands the answer is most of it, and that share tells you how much of the problem is fit content versus customer behavior.

Track three numbers monthly: multi-unit order rate per category, share of brackets from customers with five or more prior brackets, and keep rate per customer on bracketed orders. Those three lines tell you whether to invest in size guidance, enforcement, or both.

### Keep reading

[Size runs and the bracketing economy](size-run-bracketing.md)

[Using fit data to cut bracketing at the source](fit-data-cut-bracketing.md)

[Returns fraud glossary](../glossary.md) · [BracketFence vs Loop](../alternatives/loop.md) · [BracketFence vs Happy Returns](../alternatives/happy-returns.md)

[Get a free returns fraud scan](mailto:hello@bracketfence.com?subject=Free%20returns%20fraud%20scan)

## Frequently asked questions

### What is a bracketing benchmark?

A reference range for how often shoppers order multiple sizes of the same item, by category. It lets a store judge whether its own bracketing rate is ordinary for its category or a sign of a fixable fit information problem.

### Why do benchmarks vary so much by category?

Because fit uncertainty varies. Structured and tailored garments bracket far more than loose knitwear, and footwear behaves differently again. A single site wide benchmark hides the categories where the real problem sits.

### What should a store do if it is above benchmark?

Segment first: by category, then by size, then by style. An above benchmark rate usually concentrates in a few styles or sizes with a specific cause, such as a missing measurement or a grading error, rather than spreading evenly.