Free ForeverNo SignupLifespan IncludedUpdated 2026

Customer Retention Rate Calculator

Calculate the percentage of customers you keep each period — and the average lifetime that implies.

Customer Retention Rate is the percentage of customers who remain active from one period to the next. Retention Rate = (Customers at End − New Customers Added) ÷ Customers at Start × 100. A 97% monthly retention rate sounds great — but it implies 3% monthly churn and an average customer lifespan of only 33 months.

Customers at Start of Period

Total active customers at the beginning

Customers at End of Period

Total active customers at the end (including new)

New Customers Added

New customers acquired during this period

Period

Time interval being measured

The Formula

Retention Rate = (End Customers − New Customers) ÷ Start Customers × 100

In plain English

Subtract new customers from end-of-period customers. Divide by start-of-period customers. Multiply by 100.

Worked Example

Start: 1,000. End: 1,020. New: 80. Retained = 940. Rate = 940 ÷ 1,000 = 94%.

Retention Rate vs Churn Rate

Retention rate and churn rate are two sides of the same coin. Retention rate = 1 − Churn rate. A 94% monthly retention rate implies 6% monthly churn and an average customer lifespan of ~17 months.

The compound effect is dramatic: 2% monthly churn = 21% annual churn. 5% monthly churn = 46% annual churn. Even small improvements in monthly retention create large lifetime value gains.

98%+

World-class monthly retention

2×

LTV impact of halving churn

33 mo

Avg lifespan at 3% monthly churn

96%

B2B SaaS median monthly retention

Customer Retention Benchmarks (2026)

Monthly Retention	Annual Churn	Avg Lifespan	Status
98%+ /mo	< 22%/yr	50+ months	World-class
96–98% /mo	22–43%/yr	25–50 months	Healthy
93–96% /mo	43–60%/yr	14–25 months	Elevated
< 93% /mo	> 60%/yr	< 14 months	Critical

Source: Baremetrics Retention Benchmarks 2025

Common Mistakes

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Not excluding new customers from retention calculation

Retention measures how many existing customers stayed. Including new customers in the end count without subtracting them inflates your retention rate.

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Measuring retention only monthly

Annual contract SaaS needs annual retention tracking. Monthly retention data misses the "survive to renewal" dynamic that matters most for enterprise.

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Focusing on rate instead of underlying causes

A retention rate is a lagging indicator. Proactively track customer health scores, product usage, and support ticket trends to predict churn before it happens.