For SaaS and subscription businesses measuring customer churn
Calculate your customer churn rate from raw numbers. Enter customers at start of period and customers lost to get your monthly churn rate, annual churn rate, retention rate, and average customer lifetime. Understand how your churn compares to benchmarks and its impact on growth.
Monthly Churn Rate
5.00%
Annual Churn Rate
46.0%
Retention Rate
95.00%
Avg Customer Lifetime
20 months
Monthly Churn Rate
5.00%
Annual Churn Rate
46.0%
Retention Rate
95.00%
Avg Customer Lifetime
20 months
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Monthly Churn Rate = (Customers Lost ÷ Customers at Start) × 100 ÷ Period Months
This calculator takes your raw customer numbers and calculates your churn rate percentage. It then derives annual churn rate (compounded), retention rate (inverse of churn), and average customer lifetime (1 ÷ monthly churn rate).
Churn rate directly determines customer lifetime value (LTV). Lower churn means customers stay substantially longer, dramatically increasing their lifetime value. Even modest churn reductions can meaningfully extend average customer lifetime. This single metric has outsized impact on unit economics, growth efficiency, and company valuation.
High churn creates a growth treadmill where new customer acquisition must first replace lost customers before delivering net growth. Higher churn rates mean losing a substantial portion of your customer base annually, while lower churn preserves significantly more customers. The difference in required acquisition spend to grow is dramatic.
Churn rate is often the difference between sustainable and unsustainable growth. Companies with high churn require constant capital infusion to fund acquisition that just replaces losses. Companies with low churn can fund growth from retained revenue. Meaningful churn improvements can have outsized revenue impact compared to equivalent increases in acquisition spending, at a fraction of the cost.
Small business software with typical SMB churn
Moderate monthly churn rate typical of SMB SaaS, with corresponding annual churn and customer lifetime calculations
B2B product with healthy retention
Lower monthly churn rate indicating healthy retention, with extended customer lifetime projections
Enterprise product with strong retention
Very low monthly churn rate typical of enterprise products, with substantially longer customer lifetime
B2C subscription with higher churn
Higher monthly churn rate common in consumer subscriptions, with shorter customer lifetime projections
Churn rate = (Customers lost during period ÷ Customers at start of period) × 100. For example, if you started the month with 1,000 customers and lost 50, your monthly churn rate would be calculated as 50 ÷ 1,000 × 100.
Churn benchmarks vary significantly by segment: Enterprise SaaS typically targets the lowest monthly churn rates. Mid-market SaaS targets moderately low churn. SMB SaaS commonly sees higher monthly churn. Consumer subscriptions often experience the highest churn rates. Early-stage companies may have elevated churn while finding product-market fit.
Monthly churn is the percentage of customers lost each month. Annual churn compounds monthly losses over 12 months. They are not simply 12x different—annual churn = 1 - (1 - monthly churn)^12. Monthly churn compounds significantly, so annual churn is typically higher than you might expect from simple multiplication.
Average customer lifetime in months = 1 ÷ monthly churn rate (as a decimal). Lower churn rates mean substantially longer customer lifetimes. Use this calculator to see how your churn rate impacts customer lifetime. This directly impacts LTV calculations.
Track both. Customer churn (logo churn) counts customers lost regardless of size. Revenue churn (dollar churn) weights by revenue, so losing a large customer matters more. Gross revenue churn excludes expansion; net revenue retention includes expansion and can exceed 100%.
Common churn drivers include: poor onboarding (customers never realize value), product-market fit issues, pricing problems, better competitive alternatives, customer success gaps, targeting wrong customer segment, and involuntary churn from payment failures. Analyze churned customers to identify your specific drivers.
Focus on: improving onboarding to drive activation, proactive customer success for at-risk accounts, building product stickiness through integrations and team adoption, reducing involuntary churn with payment recovery, and moving upmarket to customers with better retention profiles. Small churn improvements have outsized impact on LTV.
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