Churn rate
Churn rate measures how many customers (or how much recurring revenue) you lose in a period. Like retention, it is defined by choices: the window, what counts as 'churned', and whether you count customers or revenue. Customer churn and revenue churn can diverge sharply, so the basis must be stated.
What this means
Churn rate is the share of customers (or recurring revenue) lost over a period. Customer churn counts logos lost; revenue churn counts the recurring revenue lost. They diverge whenever the customers who leave are unusually large or small — losing many tiny accounts can look bad on customer churn but mild on revenue churn, and vice versa.
Reading it honestly
Fix the window: monthly and annual churn are not interchangeable, and you cannot simply multiply one to get the other. Define 'churned' explicitly — a cancellation, a lapse past an activity threshold, a failed renewal. Net revenue churn can even go negative when expansion from remaining customers outweighs losses, which is a different story than gross churn tells.
Churn and retention are complements but computed separately, so confirm the definitions align before treating them as one minus the other.
- Customer churn vs revenue churn can diverge
- Window matters; don't multiply monthly into annual
- Net revenue churn can be negative with expansion
How it appears in analytics and logs
A churn rate is the fraction lost in a period. It is only comparable when the window and 'churned' definition are fixed; customer churn and revenue churn answer different questions.
Diagnostic use case
Track churn to monitor how fast you lose customers or recurring revenue, stating the window and whether the basis is customers or revenue.
What WebmasterID can help detect
WebmasterID's first-party events let you define an 'active' threshold and measure churn against it without third-party identity.
Common mistakes
- Comparing monthly churn to annual churn directly.
- Mixing customer churn and revenue churn in one trend.
- Leaving 'churned' undefined so the rate is unstable.
Privacy and accuracy notes
Churn is a cohort-level ratio, not a personal profile. WebmasterID measures the activity events that define 'churned' first-party.
Related pages
- Retention rate
Retention rate measures how many users from a starting cohort come back in a later period. It depends entirely on definitions: what counts as 'returning', over what window, and which cohort. A 7-day and a 30-day retention rate answer different questions, and neither is comparable to a churn figure computed a different way.
- Cohort analysis
A cohort is a group of users who share a starting event — the week they first visited, the month they signed up. Cohort analysis follows each cohort over time so you can compare like with like. It separates 'are users behaving differently' from 'is the mix of users changing', which a single blended average can hide.
- Customer lifetime value (LTV)
Customer lifetime value (LTV or CLV) estimates the total revenue or margin a customer generates across their whole relationship. It is a forecast built on assumptions about retention, purchase frequency, and margin — not a measured number. Treated as fact it misleads; treated as a model with stated assumptions it guides acquisition spend.
- Website observability
Watch returning vs lapsing activity first-party.
Sources and verification notes
- Google — User retention and lifetime (GA4)Retention reporting is the documented complement of churn; the churn definition itself is the analyst's to fix.
Last reviewed 2026-06-24. Facts are checked against primary/official sources where available; uncertain specifics are marked “Data not yet verified” rather than guessed.