Churn Rate Calculator

Last updated: August 4, 2026  ·  Reviewed by the DoCalc team

What Is Churn Rate?

Churn rate measures the percentage of customers (or revenue) a business loses over a given period. It's the mirror image of retention, and for a subscription business it's arguably more important than acquisition — a company that adds 10% new customers a month but loses 8% to churn is barely growing, no matter how good its marketing looks in isolation. Churn also compounds through nearly every other SaaS metric on this site: it directly determines LTV, it undermines CAC payback if customers leave before the acquisition cost is recovered, and it's usually the fastest lever available for improving the LTV:CAC ratio.

The Formula

How Churn Rate Works

Customer Churn vs Revenue Churn

Customer churn (sometimes called logo churn) counts accounts lost, regardless of size. Revenue churn counts MRR lost, weighted by account size. The two numbers can tell very different stories: a company that loses many small customers but retains its large accounts will show high logo churn but low revenue churn — while losing a single major enterprise account can spike revenue churn without moving logo churn much at all. Both numbers matter, and tracking only one hides the other's story.

Why Annualize Monthly Churn?

Monthly churn compounds — losing 3% of customers every month doesn't mean losing 36% over a year (3% × 12), it means losing roughly 30%, because each month's churn applies to a shrinking base. The correct annualization formula accounts for this compounding, which is why this calculator computes it as 1 − (1 − monthly churn)^12 rather than simple multiplication.

Worked Example: Step-by-Step Calculation

Suppose a company starts the month with 500 customers and loses 12 of them by month's end.

A 2.4% monthly figure sounds small, but compounded over 12 months it works out to losing roughly a quarter of the starting customer base annually — squarely in the "high, worth investigating" range on the benchmark table below. This is exactly why the naive shortcut of multiplying monthly churn by 12 (which would suggest 28.8%, not far off here, but increasingly wrong at higher churn rates) understates how differently the annualized figure should be read compared to a raw monthly percentage.

Use Cases: Churn Benchmarks

Annualized churn	Read
Under 10%	Excellent — typical of enterprise SaaS with strong retention
10–20%	Average — typical of mid-market SaaS
Over 20%	High — worth investigating onboarding, product fit, or support

These benchmarks skew significantly by customer segment: 2026 benchmark data puts enterprise SaaS annual churn around 4-9%, while SMB-focused SaaS commonly runs 22-39% or higher — roughly a 5-6x gap — simply because smaller companies are more likely to shut down, change tools, or cut costs. Compare your churn against companies at a similar customer size and price point, not a single universal number. Customer success teams check churn monthly as an early-warning signal; finance and leadership check the annualized figure when setting growth targets, since it's the number that determines how much new revenue is needed each year just to stand still.

Common Mistakes to Avoid

The most common mistake is multiplying monthly churn by 12 instead of properly compounding it — as the worked example above shows, this understates true annual churn at any meaningful rate, and the gap widens as churn increases. A second mistake is tracking only customer churn or only revenue churn instead of both; a business can look stable on logo churn while revenue churn quietly signals that its highest-value accounts are the ones leaving. A third mistake is measuring churn over too short a window to be statistically meaningful — a single bad month for a small customer base can produce a misleadingly high or low figure that doesn't reflect the underlying trend.

Pros and Cons of Tracking Churn This Way

Pros: a leading indicator that shows up faster than revenue or ARR trends; splitting customer vs. revenue churn catches problems either number alone would hide; directly explains movement in LTV and every metric downstream of it.

Cons: a small customer base makes the monthly percentage noisy; doesn't distinguish why customers left (price, product fit, support) without additional exit-survey data; easy to under-report if downgrades aren't counted alongside outright cancellations.

Who Should — and Shouldn't — Use This Calculator

Use it if you have at least a few dozen customers and want a monthly early-warning read on retention health, split by logo and revenue.

Interpret with caution if your customer base is very small (under ~20 active accounts) — losing one customer can swing the monthly percentage dramatically without reflecting a real trend. Look at a rolling 3-month average instead of any single month.

Expert Recommendation

Track both customer and revenue churn every month, but report annualized churn (correctly compounded, not multiplied) whenever comparing against industry benchmarks or setting a yearly target — that's the number that actually matches how benchmark surveys report their figures.

Conclusion

Churn is the metric with the most leverage over everything else on this site — it drives LTV, undermines CAC payback, and sets the ceiling on how fast ARR can compound. A modest improvement here tends to move more downstream metrics than an equivalent improvement anywhere else.

Frequently Asked Questions

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