Ecommerce

Customer Retention Rate Calculator

Retention rate has to subtract the customers you newly acquired, or growth quietly disguises itself as loyalty.

The period, and who arrived during it

Customers at each end

Active customers at the beginning of the period.

Active customers at the end of the period.

Acquired during the period

Customers acquired during the period.

Retention Rate

85.00%

Retained customers divided by customers at start.

Formula verified 13 September 2026

Churn Rate

15.00%

100% minus the retention rate.

Customers Retained

850

End customers minus new customers.

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Retention rate interpretation bands

Where your computed retention rate falls and the loyalty story each band usually tells, with the matching churn alongside. These are rules of thumb, not standards — healthy retention varies sharply by business model and the period measured, so judge yours against your own trend and direct peers.

RangeWhat it typically suggests
Below 60%High churn — more than four in ten of the original base lapses; growth depends on constant, costly acquisition.
60% – 75%Moderate retention; the base holds but leaks enough that retention work would pay off quickly.
75% – 90%Above-average for many ecommerce and subscription businesses — most customers stay and new ones are largely additive.◀ your result (85.0%)
Above 90%Strong stickiness, typical of well-fit subscriptions; the base compounds and lifetime value runs high.

Estimates only — not financial, tax, or professional advice.

100% private — every number you enter is calculated in your browser and never sent to our servers.

What it calculates: Retention Rate, Churn Rate, Customers Retained.

Updated 5 June 2026 · Transparent assumptions

End minus new, over start — never end over start

The correct formula is customers at the end less those acquired during the period, divided by customers at the start. Dividing end by start without removing new customers makes any growing business look like it retains everyone, and can even produce a rate above 100%.

Starting with 1,000, ending with 1,100, having acquired 300 means you retained 800 of the original 1,000 — an 80% rate, not 110%. The naive version hides a fifth of the base walking out.

They always sum to 100%, so pick one and be consistent

Churn is simply the complement of retention, and the calculator reports both because teams habitually quote different ones. There is no information in one that is absent from the other.

What does differ is emphasis. Retention frames the customers you kept and suits a board update; churn frames the ones you lost and suits a working session about why.

Monthly and annual retention are wildly different numbers

A 95% monthly retention rate sounds excellent and implies about 54% survival across a year, because the losses compound. Quoting a monthly figure against an annual benchmark is the most common error in this metric.

Choose the period that matches your purchase or billing cycle, state it every time the number is quoted, and never convert between the two by multiplying.

An active account and a paying one are different populations

For a subscription, retention is unambiguous — the subscription either renewed or it did not. For a shop with no contract, you have to define activity, and where you draw that line moves the number substantially.

Whatever definition you choose, freeze it. A retention series that improves because the activity window widened from 90 days to 180 is measuring the definition, not the business.

Sources & References

Figures on this page are checked against primary, authoritative sources. Links open in a new tab.

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Churn RateCustomer and revenue churn from one month’s numbers, annualised properly, with the customer lifetime it implies.
Repeat Purchase RateThe share of customers who bought more than once, and the orders those repeat buyers place.
LTV:CACCalculate CAC, discounted LTV, the LTV:CAC ratio, and CAC payback, with channel-by-channel decisions and scenarios.
MRRMonthly and annual recurring revenue across up to three plans, with average revenue per user.

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Business disclaimer

Results are estimates for planning and analysis based on the figures you enter. They are not accounting, tax, or financial advice — verify with your own records and a qualified professional before making decisions.

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Authorship & verification

Written and maintained by , a business operator who builds spreadsheet-based calculators.

What's changed (3 updates)

Published 13 September 2026

  1. Published the calculator with its formula, worked example, assumptions, limitations and a bespoke guide, and added an automated formula test suite covering it.
  2. Tested retention as end customers less newly acquired, over the starting base, and the churn rate as its complement.
  3. Tested that retention and churn always sum to one hundred, and that a growing base cannot produce a rate above one hundred.

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