Collect the matching inputs.
Keep the cohort fixed and define the return period before measuring. A purchase at any time within 90 days is a different measure from a purchase specifically in month three.
← All ecommerce KPIs
Customer loyalty · CRRCustomer retention rate.
Customer retention rate.
Measure the relationships that continue.
For non-subscription ecommerce, cohort retention rate is the share of an earlier purchasing cohort that buys again in a specified later period. Define both periods explicitly.
Start with your numbers.
CRR calculator
01 / The definitionWhat is
What is
customer retention rate?
For non-subscription ecommerce, cohort retention rate is the share of an earlier purchasing cohort that buys again in a specified later period. Define both periods explicitly.
Subscription retention formulas based on active accounts do not transfer automatically to occasional retail purchases. No order in one month may be normal.
02 / The measurementA clear formula.
A clear formula.
A useful comparison.
CRR =Original cohort customers buying in the later period ÷ Customers in the original cohort × 100
Read the result in context.
Compare equal-age cohorts with the same category and seasonality. Use a period long enough to reflect normal product replacement cycles.
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.
- Original cohort customers buying in the later period
- 250
- Customers in the original cohort
- 1,000
- CRR
- 25%
25% of the original cohort purchased in the later period, for example January buyers purchasing again in April.
Try your numbers ↑03 / Industry benchmarksContext first.
Context first.
Targets second.
Compare equal-age cohorts with the same category and seasonality. Use a period long enough to reflect normal product replacement cycles.
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 evidenceReal stories.
Real stories.
Clear measurement limits.
These examples show the reported outcome or a related use case. Read each evidence label before comparing it with your KPI.
Related customer-engagement example
Barefoot Junkie
The case describes welcome and win-back journeys. It does not publish a quantified result for this KPI.
Read the customer story ↗Customer stories describe individual implementations. They are not industry benchmarks, guarantees or standardized causal tests.
05 / Put it into practice
Measure the relationships that continue.
Use product affinity and previous purchases to create a relevant reason to return, then measure the entire cohort.
06 / Common questionsA little more
A little more
clarity.
How do I calculate customer retention rate?
Original cohort customers buying in the later period ÷ Customers in the original cohort × 100. 25% of the original cohort purchased in the later period, for example January buyers purchasing again in April.
What should I check before comparing results?
Subscription retention formulas based on active accounts do not transfer automatically to occasional retail purchases. No order in one month may be normal.
What is a good customer retention rate?
Compare equal-age cohorts with the same category and seasonality. Use a period long enough to reflect normal product replacement cycles.
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.
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