Unit economics

Customer Retention Rate Calculator

The percentage of customers who stay — the quiet engine behind every store with strong lifetime value.

Retention rate = customers retained ÷ customers at the start × 100 — counting only customers you already had, never ones acquired during the period. Start with 500 customers and still have 460 of them active at the end, and retention is 92%, implying 8% churn. Excluding new acquisitions is the step most stores get wrong: counting mid-period signups in the retained number can push "retention" above 100% and hides real losses behind growth. Enter both counts to get retention and the churn it implies.

Customer Retention Rate Calculator — your numbers

Retention rate

92.0%

Implied churn rate

8.0%

Estimate only. Results reflect exactly the numbers you enter — verify against your own accounting before making pricing decisions.

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Worked examples

Strong quarterly retention

Customers retained 460
Customers at start 500
Retention rate 92.0%
Implied churn rate 8.0%

92% retention — the profile of a store with real repeat-purchase pull.

Leaky annual cohort

Customers retained 190
Customers at start 500
Retention rate 38.0%
Implied churn rate 62.0%

38% of last year’s customers bought again — typical for one-and-done retail.

Frequently asked questions

Why must new customers be excluded from the retained count?

Because retention measures whether existing customers stay, and new signups say nothing about that. Include them and a fast-growing store with terrible retention can report a rate above 100%. The classic formula makes the exclusion explicit: (customers at end − new customers acquired) ÷ customers at start. This calculator asks for that already-adjusted retained number directly.

What is a good retention rate for e-commerce?

Measured annually, 25–40% of customers making a repeat purchase is typical for general retail, while consumables, pet supplies and beauty often reach 40–60%. Subscription businesses measure monthly, where 90%+ is the goal. High-AOV, low-frequency categories like furniture naturally sit lower — judge yourself against your own purchase cycle, not a subscription benchmark.

How does retention rate connect to lifetime value?

Retention sets the "years retained" term in LTV almost directly: average customer lifetime ≈ 1 ÷ churn rate. At 92% quarterly retention (8% churn), expected lifetime is about 12.5 quarters — over three years. Lift retention to 94% and lifetime jumps past four years, raising LTV by a third with zero change to order value or frequency. No other input moves LTV as sharply.

What actually improves retention for an online store?

The mechanics with the strongest track record: a genuinely good post-purchase experience (fast shipping, painless returns), lifecycle email and SMS timed to the replenishment cycle, a loyalty program that rewards the second and third order rather than the tenth, and product quality that survives the first use. Retention is mostly product and experience; marketing only reminds.

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Part of the Unit Economics collection.