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Profitability · Returns

Product return rate.
Understand what comes back, and why.

Unit-based product return rate is the share of sold units that are later returned within a stated returns observation window.

Start with your numbers.

Returns calculator

Use matching periods and populations. Monetary examples use EUR; enter one consistent currency. Starting values are illustrative.

Product return rate8%Based on the inputs above
01 / The definition

What is
product return rate?

Unit-based product return rate is the share of sold units that are later returned within a stated returns observation window.

Returns processed this month may relate to last month’s sales. Dividing them by current sales mixes different cohorts.

02 / The measurement

A clear formula.
A useful comparison.

Returns =Units returned from the order cohort ÷ Units sold in the original order cohort × 100
01

Collect the matching inputs.

Match returned units to their original orders. Wait for the return window to mature and separate exchanges, damaged goods and cancellations consistently.

02

Read the result in context.

Compare categories, variants, size and acquisition channels with equal return windows. Track reasons as well as the total rate.

03

Document the comparison.

Keep the reporting dates, population, exclusions and calculation with every result. Show underlying counts as well as the average or rate, so a small sample does not look more conclusive than it is.

Illustrative example

From inputs to insight.

Units returned from the order cohort
80
Units sold in the original order cohort
1,000
Returns
8%

8% of units were returned. Order return rate and value return rate are separate measures.

Try your numbers ↑
03 / Industry benchmarks

Context first.
Targets second.

Compare categories, variants, size and acquisition channels with equal return windows. Track reasons as well as the total rate.

We have not verified a public industry benchmark that matches the exact definition used on this page. A precise-looking generic range would hide important differences between businesses.

Build your own benchmark

Start with a comparable baseline.

01

Match the population.

Choose the category, channel or customer cohort you can compare consistently.

02

Let the data mature.

Use complete periods and allow the purchase, attribution or returns window in your definition to close.

03

Test a specific opportunity.

Set a target from your economics and observed variation. Keep conversion and contribution in view.

04 / Clerk customer evidence

Real stories.
Clear measurement limits.

We have not verified a published Clerk customer case with a quantified product return rate result matching this page’s definition.

What would count as useful evidence?

A case reporting units returned from the order cohort and units sold in the original order cohort, with the time window and comparison method. General revenue growth or a related engagement metric does not establish this result.

Customer stories describe individual implementations. They are not industry benchmarks, guarantees or standardized causal tests.

05 / Put it into practice

Understand what comes back, and why.

Improve sizing, compatibility and product expectations; recommend suitable products rather than maximizing immediate basket value alone.

Explore the experience

Turn the insight into a useful next step.

See how relevant product discovery can support the shopping journey. Choose an intervention that addresses the issue your data reveals.

Explore revenue scenarios ↗
Keep the full result in view

Measure the commercial outcome.

Returns processed this month may relate to last month’s sales. Dividing them by current sales mixes different cohorts.

Explore Recommendations ↗
06 / Common questions

A little more
clarity.

How do I calculate product return rate?

Units returned from the order cohort ÷ Units sold in the original order cohort × 100. 8% of units were returned. Order return rate and value return rate are separate measures.

What should I check before comparing results?

Returns processed this month may relate to last month’s sales. Dividing them by current sales mixes different cohorts.

What is a good product return rate?

Compare categories, variants, size and acquisition channels with equal return windows. Track reasons as well as the total rate.

Does a higher attributed result prove incremental growth?

No. Attribution connects an interaction with an outcome under a reporting rule. To estimate what a change added, compare randomly assigned treatment and control groups using the same eligible population and a predefined measurement window.

Keep learning

Connect the numbers.

Your next opportunity

Make product discovery
work harder for your store.

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