SaaS churn rate calculator: how much is churn costing you?

Customer churn counts how many accounts you lose. Revenue churn measures the dollar impact. A SaaS losing 10 small accounts ($10/mo each) has the same customer churn as one losing 10 enterprise accounts ($1,000/mo each) - but very different revenue impact.

Churn compounds. At 5% monthly churn, you lose 46% of your customers annually - not 60% (5% × 12), because each month's churn applies to a smaller base. But the revenue impact is still devastating: a $100K MRR SaaS at 5% monthly churn loses $460K in annual revenue.

1. Enter your numbers - customers at the start of the period, customers lost, MRR, and average revenue per account.
2. Read your churn and its cost - monthly and annual churn, revenue lost, and customer lifetime value (LTV).
3. Benchmark it against the table below for your SaaS type.
4. See the 1% scenario - what cutting churn by a single point would add back over 12 months.
5. Act and re-measure once you've shipped retention fixes.

Churn rate is the headline, but a few related metrics give a truer picture of retention health:

• Gross revenue churn - the MRR lost to cancellations and downgrades, before any expansion. It shows how leaky your bucket is.
• Net revenue churn - gross churn minus expansion (upsells, seats, usage). If expansion outpaces losses, this goes negative - the prized "net negative churn."
• Net revenue retention (NRR) - 100% minus net revenue churn; above 110% means your existing base grows on its own. It's one of the biggest drivers of valuation.
• Customer lifetime (1 / churn) - at 5% monthly churn the average customer stays ~20 months; at 2% they stay ~50. Small churn changes hugely shift LTV.

Most churn is decided long before the cancel button. The highest-leverage interventions, roughly in order:

• Nail onboarding. The first 7 days decide whether a customer reaches the "aha" moment. Get users to first value fast.
• Watch leading indicators. Declining logins or feature usage predict churn weeks ahead - reach out before they cancel.
• Fix the friction. Recurring support tickets and UX dead-ends quietly drive cancellations; close the top few.
• Increase stickiness. Integrations, saved data, and team collaboration raise switching costs.
• Add expansion paths. Upsells and seat growth offset losses and push you toward net negative churn.

Many retention wins are product and engineering problems - usage analytics, in-app nudges, a smoother onboarding flow. That's the kind of work we build with SaaS teams.