E-commerce Statistics - Best For Ecommerce

Apparel ecommerce return rate benchmarks show how often fashion, footwear and clothing orders are returned. This page summarizes directional return-rate ranges and explains why apparel behaves differently from many other ecommerce categories. Back to the hub: E-commerce Statistics. This dataset sits in Categories & Demand and should be read together with category mix ecommerce sales, gross margin benchmarks, conversion rate by device and return cost per order. For operating impact, pair this with return cost per order, free returns prevalence and refund time benchmarks. Dataset page E-commerce category benchmarks Updated 2026 Benchmarks Segments How to use Sources Cite Benchmarks Key benchmark signals Use these points as directional reference values, not as a single universal average. Category mix, geography, product price, marketplace exposure and return policy can change the benchmark materially. Typical apparel range20–30%+Recent benchmark summaries commonly place apparel and fashion above the all-category ecommerce average.Fashion midpoint signal~25%Eightx reports an average fashion return-rate benchmark around this level with subcategory variation.High-return subcategoriesShoes / women’s fashionFit, size uncertainty and style preference make footwear and some fashion subcategories structurally return-heavy. Definition Apparel ecommerce return rate is the percentage of online clothing, footwear or fashion orders that are returned by customers. It can be measured by order count, item count or revenue value, so definitions must be compared carefully. SegmentsApparel return-rate ranges by segmentReturn rates vary widely by category, fit uncertainty, sizing consistency, price point and return policy.SegmentDirectional return-rate rangeWhy it differsGeneral apparel / fashion20–30%Fit uncertainty, size bracketing and subjective style preference increase return volume.FootwearOften 25–30%+Shoes are highly fit-sensitive and customers may order multiple sizes.Women’s fashionOften above general ecommerce averageSize, cut, occasion and styling expectations can create more returns.Men’s fashionOften lower than women’s fashion but still elevatedSizing can be more standardized in some segments, but fit remains a major factor.Luxury apparelVariable; often policy-dependentHigher AOV, stricter policies and customer expectations can change both return rate and return cost. DriversWhy apparel return rates are highDriverEffect on returnsOperational implicationSize uncertaintyCustomers may order multiple sizesImprove size charts, fit guides, reviews and model measurements.Color and material mismatchProduct expectation differs from realityUse better photography, videos and fabric descriptions.Occasion buyingItems bought for one event may be returnedWatch fraud/wardrobing signals and policy abuse.Free returnsCan increase purchase confidence and return volumeCompare conversion uplift against reverse logistics cost.Marketplace behaviorCustomers expect frictionless returnsBenchmark marketplace and DTC return behavior separately. InterpretationHow to use apparel return-rate benchmarksDo not compare an apparel store with a generic ecommerce return-rate average. Apparel should be benchmarked by subcategory, return policy, region, channel and whether the metric is based on orders, items or revenue.Practical use: track apparel return rate together with gross margin, return cost per order, refund timing and repeat purchase rate. SourcesSources used for this benchmark pageEightx: Average ecommerce return rate and apparel/fashion benchmarksRichpanel: Ecommerce return rates by categoryNRF / Happy Returns: 2024 retail returns report Cite this page BestForEcommerce.com, “E-commerce Apparel Return Rate Benchmarks,” E-commerce Statistics, 2026. Suggested URL: https://bestforecommerce.com/ecommerce-statistics/categories-demand/apparel-ecommerce-return-rate/