SaaS Metrics

Churn Rate

Churn rate measures the fraction of customers (logo churn) or recurring revenue (revenue churn) lost over a period. It is one of the most important drivers of LTV and payback.

Updated 2026-01-23

Definition

Churn rate measures the fraction of customers (logo churn) or recurring revenue (revenue churn) lost over a period. It is one of the most important drivers of LTV and payback.

Formula

Churn rate = losses / starting base (customers or revenue)

Example

If you start the month with 1,000 customers and lose 35, logo churn = 35 / 1,000 = 3.5% for the month.

How to use it

  • Specify whether churn is logo churn (count) or revenue churn (dollars).
  • Keep time units consistent (monthly vs annual) when using churn in formulas.
  • Use cohort curves to see how churn changes over time rather than relying on a single average.

Common mistakes

  • Mixing logo churn with revenue retention metrics (NRR/GRR).
  • Using annual churn as if it were monthly churn (time unit mismatch).
  • Relying on blended churn when segments behave differently.

Measured as

Churn rate = losses / starting base (customers or revenue)

Misused when

  • Mixing logo churn with revenue retention metrics (NRR/GRR).
  • Using annual churn as if it were monthly churn (time unit mismatch).
  • Relying on blended churn when segments behave differently.

Operator takeaway

  • Specify whether churn is logo churn (count) or revenue churn (dollars).
  • Keep time units consistent (monthly vs annual) when using churn in formulas.
  • Use cohort curves to see how churn changes over time rather than relying on a single average.
  • Keep Churn Rate consistent by cohort, segment, and period before you use it as a decision signal in planning or reporting.
  • Interpret the metric alongside retention, margin, or payback so one ratio does not hide the real operating trade-off.

Next decision

  • Quantify the impact with Churn Rate Calculator if you need to turn the definition into an operating assumption.
  • Read Retention curves: how to read them and why they matter if the decision depends on interpretation, policy, or trade-offs beyond the raw formula.

Where to use this on MetricKit

Calculators

Guides