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Why fashion returns more than beauty

Fashion RTO runs 25-40% while beauty runs 5-15%. What drives the category gap, and which levers work in each.

RTO is a category story as much as a logistics story. Base.com's 2026 benchmark roundup for Indian D2C puts fashion and apparel at 25 to 40% RTO, electronics at 8 to 18%, and beauty and personal care at 5 to 15%. A caveat upfront: these ranges are published by a vendor without a stated methodology or sample, so read them as orientation about the shape of the category gap, not as measured fact. The direction, fashion hardest, beauty easiest, is consistent with everything else we reviewed.

Why fashion is hardest

Three failure modes stack in fashion, and none is a courier's fault.

Sizing. India has no standardised sizing across brands. A medium from one brand fits like a small from another. The customer who guesses wrong refuses at the door or returns after delivery. This is a content and product problem: real measurements, fit notes, model references.

Impulse. Fashion D2C runs on Instagram and influencer campaigns where the purchase decision takes seconds. Impulse plus COD plus four days of transit equals regret at the door. This is the mid-value band problem from Shipway's data wearing a category label.

Bracketing. Customers order multiple sizes or variants intending to keep one and refuse or return the rest. Base.com cites research putting bracketing behaviour at 63% of online shoppers. On COD, bracketing is free for the customer and doubly expensive for the brand.

Why beauty is easiest

Beauty and personal care invert every one of those drivers. Products are small and light, so transit damage is rare. There is no fit to get wrong. Repurchase is habitual: a customer reordering their sunscreen knows exactly what arrives. Expectation gaps still exist (shade, fragrance, skin reaction), but they surface as post-delivery returns, which run low in this category, not as door refusals.

What this means practically

Benchmark within your category, not against the industry. A fashion brand at 22% RTO is outperforming its category; a beauty brand at 22% has an operation in crisis. The industry average of roughly 20 to 26% is a meaningless target for both.

Match the fix to the failure mode. Fashion's levers are sizing content, faster delivery, confirmation in the impulse window, and pricing bracketing into the margin or designing it out (virtual try-on, better fit data). Electronics' lever is honest product description and pick-pack accuracy. Beauty's lever is mostly staying out of its own way.

Watch category mix shifts in your own data. If your RTO rose last quarter, check whether your category or geography mix changed before blaming operations. A sale that pushed fashion SKUs hard will move the blended rate all by itself.

The category sets the baseline. Operations decide where inside the range you land: the same benchmarks show top-performing fashion brands running at 12 to 18%, half the category's upper range.

Sources

All research