Logo Churn vs Revenue Churn: Which One Should You Track?

TL;DR. Logo churn counts the customers you lose. Revenue churn measures the recurring revenue you lose. They answer different questions and can point in opposite directions when customers differ in size. Track both, name the period every time you quote one, and use logo churn to judge product fit and onboarding, and revenue churn to judge the financial health of the base.

What is the difference between logo churn and revenue churn?

Logo churn is the share of customers who left in a period. Revenue churn is the share of recurring revenue that left in the same period.

• Logo churn = customers lost in the period ÷ customers at the start of the period.
• Revenue churn = recurring revenue lost to cancellations (and, in the gross version, downgrades) in the period ÷ recurring revenue at the start of the period.

Both use the starting base as the denominator. Customers who joined during the period are not in the denominator, because they could not have churned from a base they were not part of.

Why can the two numbers disagree?

Because customers are not the same size. Imagine a base with a few large accounts and many small ones.

• If ten small accounts cancel, logo churn rises sharply while revenue churn barely moves.
• If one large account cancels, logo churn barely moves while revenue churn rises sharply.

Neither number is wrong. Each shows a different risk. A high logo churn with low revenue churn suggests the small-account end of your market is a poor fit. A low logo churn with high revenue churn suggests you depend on a few accounts and a single loss hurts.

Which one should you use for which decision?

Decision	Better lens	Why
Is the product fitting a segment?	Logo churn, by segment	It counts decisions to leave, not dollars
Is onboarding working?	Logo churn, by signup cohort	Early cancellations show up as lost customers first
Can we forecast revenue?	Revenue churn	It maps directly to the revenue line
Are we over-reliant on a few accounts?	Revenue churn, with account concentration	One loss shows up as a revenue event
Is pricing or packaging causing downgrades?	Gross revenue churn including contraction	Downgrades never appear in logo churn

What counts as churn?

Decide this once and write it down. Teams often disagree on the edge cases, and the number changes with each choice.

• Cancellation date or end of paid term? A customer who cancels in March but is paid through June is a March decision and a June revenue loss. Pick one convention and keep it.
• Failed payments. Involuntary churn from expired cards is still churn, but it has a different fix from a customer choosing to leave. Report it separately.
• Pauses and downgrades. A paused account is neither active nor lost. Downgrades are contraction, not churn, but they belong in gross revenue churn.
• Free and trial users. Leave them out of customer churn. Their drop-off belongs in activation and conversion metrics.

How do you calculate each one without distorting it?

1. Fix the period. Monthly and annual churn are not interchangeable. A small monthly figure compounds into a much larger annual one, so never compare across periods. The SaaS Metrics Glossary covers this point.
2. Use the starting base only. Exclude customers acquired during the period from both numerator and denominator.
3. Keep the revenue basis consistent. Use recurring revenue, not invoiced revenue, so one-off fees and usage spikes do not blur the picture.
4. Separate expansion. Revenue churn should not be netted against upsell. Netting belongs in net revenue retention, which is a different metric. Gross revenue retention is the mirror image of gross revenue churn.
5. Cut by cohort and segment. An overall figure hides where the leak is. Split by signup month, plan, company size and acquisition channel.

Why do cohorts matter more than the blended rate?

A blended churn rate mixes new customers, who churn most, with long-standing ones, who churn least. When the mix changes, the blended number moves even if nothing about the product changed.

A cohort view fixes this. Group customers by the month they joined and track what share is still active after each period. The shape of the curve tells you more than any single rate:

• A curve that keeps falling suggests customers are not finding lasting value.
• A curve that falls and then flattens suggests a loyal core has formed, and the work is to move more customers into it.

For the product behaviours that tend to build that core, see Habit Loops and SaaS Retention.

What should you do with the numbers?

• When logo churn is high early in the lifecycle, look at onboarding and the first-use experience. What Is Product-Led Growth? describes activation as the point where retention is largely decided.
• When churn is concentrated in one segment, revisit who you sell to. A clearer profile, as described in How to Build an ICP, often lowers churn more than any retention campaign.
• When revenue churn is driven by a few accounts, treat those accounts as a risk list. Assign owners and review them on a fixed schedule.
• When downgrades are rising, check whether packaging matches how customers actually use the product.

Do not set a target from a published benchmark alone. Churn varies widely with price point, contract length and customer size. Compare your own cohorts over time first.

Related reading

• The SaaS Metrics Glossary — churn, retention and the metrics around them.
• Habit Loops and SaaS Retention — the behaviours that keep customers.
• What Is Product-Led Growth? — activation and the first-use experience.
• How to Build an ICP — choosing customers who stay.
• All Retention & Churn articles — the growing cluster.