Return rate measures the percentage of ecommerce orders that customers send back after purchase.
It is one of the most important operational metrics in ecommerce because returns affect logistics costs, profit margins, payment flows and customer experience.
Back to the hub:
E-commerce Statistics.
This dataset should be analyzed together with
delivery methods share,
chargeback rate,
and average order value.
Key benchmarks (cite-ready)
Return rates vary widely across industries, but several global benchmarks are frequently cited in ecommerce research and media reporting.
- Typical ecommerce return rate reported around 20–30%. Source
- Physical retail returns around ~9% according to industry surveys. Source
Higher ecommerce return rates are largely driven by the inability to inspect products before purchase, sizing issues, and “bracketing” behavior (ordering multiple versions and returning unwanted ones).
Return rates by category
Category differences are one of the biggest drivers of return rate variation.
| Category | Typical return rate | Main reasons |
|---|---|---|
| Fashion / apparel | 30–40% | Sizing issues, color expectations, bracketing purchases |
| Electronics | 8–15% | Defects, compatibility issues, buyer remorse |
| Furniture / home | 5–10% | Logistics complexity, high shipping costs discourage returns |
| Beauty / cosmetics | 5–12% | Allergy or dissatisfaction with product results |
| General merchandise | 10–20% | Mixed categories with varied return behavior |
Fashion ecommerce often has the highest return rates globally because customers cannot try products before purchase.
Segments that influence return rates
A single return rate rarely describes an ecommerce business accurately.
| Segment | What to measure | Why it matters | Pair with |
|---|---|---|---|
| Product category | Return rate per category | Category mix strongly influences overall returns. | category share |
| Order value | Returns by AOV band | Higher ticket purchases may have different return behavior. | AOV benchmarks |
| Customer type | New vs returning customers | Returning customers often return less frequently. | repeat purchase rate |
| Geography | Return rates by country | Shipping costs and return policies differ by region. | cross-border purchases |
| Delivery method | Return rate by delivery option | Some delivery methods simplify return logistics. | delivery methods share |
Definition and calculation
Return rate is typically calculated based on completed orders.
Return rate is calculated as:
Return rate = Returned orders ÷ Total orders × 100
- Some retailers calculate returns by items rather than orders.
- Return windows may vary (e.g., 14 days vs 30 days).
- Operational reporting often separates refunds, exchanges and store credit.
Reference pages:
Glossary •
Methodology
Sources
Primary sources used for ecommerce return statistics and benchmarks.
-
National Retail Federation (NRF) — retail return statistics and annual survey.
https://www.nrf.com/research/2024-retail-returns-survey -
Appriss Retail — consumer returns report and fraud analysis.
https://apprissretail.com/resources/reports/consumer-returns-in-the-retail-industry/ -
Statista — category-level return rate insights.
https://www.statista.com/
Cite this page
Copy and paste.
Best for Ecommerce. (2026).
Return rate benchmarks.
Retrieved from
/ecommerce-statistics/delivery-returns/return-rate-benchmarks/
