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Customer Retention Rate (CRR) Calculator

From starting customers, ending customers and new acquisitions, compute the true retention of existing customers (CRR).

Input Data

Start Customers
people
End Customers
people
Acquired Customers
people

Results

Ending minus new (existing kept).
900people
Retained / starting x 100%.
90%

At a glance:CRR = (ending customers - new customers) / starting customers x 100%. Subtracting new customers is essential — otherwise new wins are mistaken for retained old customers and CRR is overstated (even absurdly >100%). Example: start 1,000, new 200, end 1,100 → retained 900, CRR 90% (100 churned). CRR + churn = 100%. WARNING: Compare with peers/history; varies by industry and period. Education, not advice.

Formula

Retained = ending customers − new customers acquired.

CRR = retained / starting customers × 100%.

$$\text{Retained} = \text{End Customers} - \text{Acquired Customers}$$
$$\text{CRR} = \dfrac{\text{Retained}}{\text{Start Customers}} \times 100\%$$

How to Use

  1. Enter starting customer count.
  2. Enter ending count and new acquisitions.
  3. View retained customers and CRR.

FAQ

Why subtract new customers?

Because the ending count mixes two groups — old customers kept and new ones won. Retention should measure only how many of the original stayed, so the numerator must be ending minus new; otherwise you'd count new customers as 'retained' and inflate the rate.

How is retention related to churn?

They sum to 100%. Retention tells 'how many kept', churn tells 'how many left' — opposite but complementary; analyse both, and use the churn-rate calculator for thesame-period figure.

What is a good retention rate?

No universal standard — depends on industry and period. Subscription/SaaS pursue high monthly/annual retention; retail/F&B fluctuate more. Best practice: compare with your own history and peers, watch the trend — rising retention is a positive signal.

Why must we subtract new customers (again)?

It is the most error-prone step. The ending ledger mixes 'old customers still there' with 'newly acquired'. CRR wants pure retention of the original base. Directly dividing ending by starting can exceed 100% (e.g. 1,100/1,000 = 110%, logically impossible). Correct: retained = 1,100 - 200 = 900; CRR = 900/1,000 = 90%. This honestly reflects 'of 1,000 originals, 900 stayed, 100 left'. Subtracting new customers strips their contribution so retention isn't masked by acquisition — a company can look like it's growing while quietly leaking old customers; correct CRR exposes that.

How do retention, churn and CAC interplay, and why does retention matter?

They depict the health of your customer economy. Retention + churn = 100% always. Retaining an existing customer usually costs far less than winning a new one (CAC) — keeping customers extends the value of each acquisition (higher LTV). Healthy models satisfy 'LTV >> CAC' (often LTV/CAC >= 3), and high retention is the engine behind LTV. So rather than pouring all resources into acquisition, plugging churn first is often higher-ROI. Pair with the churn-rate, CAC and LTV calculators.

Related Tools

References

Content review: Calculatorism Finance Team. Results are for reference only; please refer to the relevant authorities for the official figures.

Found a problem with the results?

If this calculator's result is wrong, or you have any question about the calculation logic, please let us know. You are viewing:Customer Retention Rate (CRR) Calculator(/finance/customer-retention-rate)。