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Cart recovery rate.
Bring unfinished purchases back into focus.

Cart recovery rate is the share of eligible abandoned carts that later become orders within a defined recovery window.

Start with your numbers.

Recovery rate calculator

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

Cart recovery rate8%Based on the inputs above
01 / The definition

What is
cart recovery rate?

Cart recovery rate is the share of eligible abandoned carts that later become orders within a defined recovery window.

A recovery campaign can receive credit for orders that would have happened anyway. Attributed recovery is different from incremental recovery.

02 / The measurement

A clear formula.
A useful comparison.

Recovery rate =Eligible abandoned carts later completed ÷ Eligible abandoned carts × 100
01

Collect the matching inputs.

Freeze the abandonment cohort before recovery begins. Connect recovered orders to original carts and state whether the denominator includes all abandoned carts or only contactable ones.

02

Read the result in context.

Compare equal observation windows, eligibility rules and delivery regions. Use a no-message holdout to estimate the additional effect.

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.

Eligible abandoned carts later completed
80
Eligible abandoned carts
1,000
Recovery rate
8%

8% of eligible abandoned carts completed within the recovery window.

Try your numbers ↑
03 / Industry benchmarks

Context first.
Targets second.

Compare equal observation windows, eligibility rules and delivery regions. Use a no-message holdout to estimate the additional effect.

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 cart recovery rate result matching this page’s definition.

What would count as useful evidence?

A case reporting eligible abandoned carts later completed and eligible abandoned carts, 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

Bring unfinished purchases back into focus.

Remind customers what they left behind and clarify delivery or product questions before offering a discount.

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.

A recovery campaign can receive credit for orders that would have happened anyway. Attributed recovery is different from incremental recovery.

Explore Recommendations ↗
06 / Common questions

A little more
clarity.

How do I calculate cart recovery rate?

Eligible abandoned carts later completed ÷ Eligible abandoned carts × 100. 8% of eligible abandoned carts completed within the recovery window.

What should I check before comparing results?

A recovery campaign can receive credit for orders that would have happened anyway. Attributed recovery is different from incremental recovery.

What is a good cart recovery rate?

Compare equal observation windows, eligibility rules and delivery regions. Use a no-message holdout to estimate the additional effect.

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.

Explore how Clerk helps shoppers find relevant products throughout their journey.