Churn Rate
Churn Rate is the percentage of customers (or revenue) that leave a business over a defined period, usually expressed monthly or annually. Churn rate is the most-cited retention metric in SaaS and subscription businesses because it’s simple to understand and directly drives unit economics. A monthly churn rate of 2% translates roughly to 22% annual churn; 5% monthly is nearly 46% annual. Small differences in churn rate compound into dramatic differences in business trajectory.
How churn rate is calculated
Two standard formulas:
Customer churn rate. Customers lost during period ÷ customers at start of period × 100. Measures logo churn.
Revenue churn rate. Revenue lost during period ÷ revenue at start of period × 100. Measures revenue-weighted churn.
The two can diverge significantly. A business that loses many small customers has high customer churn but may have low revenue churn. A business that loses one enterprise customer has low customer churn but high revenue churn. Both metrics are worth tracking.
Industry churn benchmarks
Rough 2026 averages:
B2C subscription. 3–8% monthly typical. Consumer psychology and easier cancellation drive higher churn.
B2B SaaS SMB. 2–5% monthly typical. Mid-market plans see 1–3%.
B2B SaaS Enterprise. 0.5–1% monthly typical. Annual contracts and integration depth drive lower churn.
These are medians; high-performing companies run meaningfully lower. The gap between median and top-quartile churn is often 2–3x.
The compounding math
Annualised churn from monthly:
- 1% monthly → ~11% annual
- 2% monthly → ~22% annual
- 3% monthly → ~31% annual
- 5% monthly → ~46% annual
- 10% monthly → ~72% annual
The implication: halving monthly churn approximately halves annual churn. Over long periods, even small changes in the monthly rate compound into very different retention curves.
Gross vs net churn rate
Two critical distinctions:
Gross churn rate. Revenue lost from churned and downgraded customers, divided by starting revenue. Measures pure revenue leakage.
Net churn rate. Gross churn minus expansion revenue (upgrades, cross-sells, seat additions). Can be negative - meaning expansion exceeds churn and the existing customer base grows without new acquisition.
Negative net churn is the SaaS gold standard. It means the company can grow revenue even if new customer acquisition goes to zero. Few businesses achieve it; the ones that do tend to have outsized valuations.
Cohort analysis vs aggregate churn
Two different measurement approaches:
Aggregate churn rate. The total churn during a period divided by total customers. Simple, commonly reported.
Cohort churn curves. The retention of a specific signup cohort over time. Reveals shape - do customers churn mostly in the first three months, or do they churn steadily over years?
Aggregate churn rates can mask huge differences in cohort behaviour. Two businesses with identical 3% monthly churn can have very different long-term economics if one loses everyone in year one and the other loses few over many years.
Common churn-rate measurement mistakes
Four errors that distort the number:
Using the wrong denominator. Churn rate of period X should use customers at start of X, not average or end. Using end-of-period inflates the rate; using average smooths it in misleading ways.
Excluding involuntary churn. Payment failures that ultimately cancel count as churn too. Excluding them understates the true attrition rate.
Mixing gross and net carelessly. Reporting gross churn and comparing to competitor’s net churn produces bad benchmarking.
Conflating pause/suspend with churn. Customers who pause and reactivate aren’t churned. Treating them as churned overstates the rate.
What affects churn rate
Six major drivers:
Onboarding quality. Customers who reach activation churn at a fraction of the rate of customers who don’t.
Product-market fit depth. Genuine fit produces sticky usage; partial fit produces temporary adoption followed by churn.
Pricing vs value delivered. Customers who feel they’re getting less than they pay for churn at higher rates.
Contract terms. Annual contracts have lower churn than monthly ones because the decision-point happens less often.
Competitive landscape. Markets with easy substitutes see higher churn; markets with high switching costs see lower.
Customer segment. Enterprise customers churn at lower rates than SMB customers across most categories.
Using churn-rate data
Three practical disciplines:
Segment by cohort, by plan, by size, by source. Aggregate numbers hide the actionable patterns.
Combine with qualitative data. Exit interviews, support ticket themes, usage-decline patterns. Churn rate tells you what’s happening; qualitative tells you why.
Set targets by segment. A single target churn rate across all segments obscures which segments to invest in. Per-segment targets drive action.
Related terms
- Churn - the underlying phenomenon
- Customer Lifetime Value (LTV) - the metric churn rate primarily drives
- Customer Retention - the complementary metric
- Net Revenue Retention (NRR) - the net-of-expansion version
- Gross Revenue Retention (GRR) - the pure retention version
