Annual Recurring Revenue (ARR) Calculator
Calculate annual recurring revenue (ARR) from MRR or subscription data. Track ARR growth, components, and project future ARR milestones for SaaS.
Calculate customer churn rate (logo churn) by dividing lost customers by starting customer count. Analyze retention, half-life, and churn impact on growth.
| Month | Survival % | Remaining | Retention Bar |
|---|---|---|---|
| 1 | 96.00% | 1,920 | |
| 2 | 92.16% | 1,843 | |
| 3 | 88.47% | 1,769 | |
| 6 | 78.28% | 1,566 | |
| 9 | 69.25% | 1,385 | |
| 12 | 61.27% | 1,225 | |
| 18 | 47.96% | 959 | |
| 24 | 37.54% | 751 | |
| 36 | 23.00% | 460 | |
| 48 | 14.09% | 282 | |
| 60 | 8.64% | 173 |
| Monthly | Annual | Half-Life | Avg Lifespan |
|---|---|---|---|
| 0.50% | 5.84% | 138.3 mo | 200.0 mo |
| 1.00% | 11.36% | 69.0 mo | 100.0 mo |
| 2.00% | 21.53% | 34.3 mo | 50.0 mo |
| 3.00% | 30.62% | 22.8 mo | 33.3 mo |
| 4.00% | 38.73% | 17.0 mo | 25.0 mo |
| 5.00% | 45.96% | 13.5 mo | 20.0 mo |
| 7.00% | 58.14% | 9.6 mo | 14.3 mo |
| 10.00% | 71.76% | 6.6 mo | 10.0 mo |
| 15.00% | 85.78% | 4.3 mo | 6.7 mo |
| 20.00% | 93.13% | 3.1 mo | 5.0 mo |
| Reduction | New Churn | New Lifespan | Lifespan Gain |
|---|---|---|---|
| −20%10.00% | 3.60% | 27.8 mo | +11.11% |
| −20%20.00% | 3.20% | 31.3 mo | +25.00% |
| −20%30.00% | 2.80% | 35.7 mo | +42.86% |
| −20%40.00% | 2.40% | 41.7 mo | +66.67% |
| −20%50.00% | 2.00% | 50.0 mo | +100.00% |
| −20%60.00% | 1.60% | 62.5 mo | +150.00% |
| −20%75.00% | 1.00% | 100.0 mo | +300.00% |
Churn rate measures the percentage of customers who cancel or stop using your product over a given period. For subscription businesses, it's the inverse of retention and one of the most powerful predictors of long-term success. Even small differences in monthly churn compound dramatically over time — a 5% monthly churn means losing half your customers in just 13 months.
Customer churn (also called logo churn) counts the number of customers lost, regardless of how much they paid. This distinguishes it from revenue churn, which weights losses by dollar amount. Both metrics matter, but customer churn reveals the breadth of dissatisfaction, while revenue churn reveals its financial impact.
This calculator computes your monthly and annualized churn rates, shows customer half-life, projects the retention curve, and models how churn reduction affects your customer base over time. Understanding churn is the first step to reducing it.
Use the result to compare scenarios, test assumptions, and revisit the model when pricing, volume, or financing inputs change.
Churn is the silent killer of subscription businesses. Even with strong acquisition, high churn creates a leaky bucket that prevents sustainable growth. This calculator quantifies the impact of your current churn rate and shows how even small improvements can dramatically extend customer lifetimes and increase lifetime value. Instant recalculation lets you test different assumptions side by side, giving you the confidence to act on data rather than gut instinct.
Churn Rate (%) = Customers Lost ÷ Customers at Start × 100
Retention Rate (%) = 100 − Churn Rate
Annual Churn = 1 − (1 − Monthly Churn)^12
Customer Half-Life = ln(0.5) ÷ ln(1 − Monthly Churn Rate)Result: Monthly Churn = 4.00%
With 2,000 starting customers and 80 lost, the monthly churn rate is 80 ÷ 2,000 × 100 = 4.00%. The retention rate is 96.00%. Annualized, this means 1 − (0.96)^12 = 39.2% of customers churn per year. The customer half-life is about 17 months — meaning half your customer base turns over in under a year and a half.
Churn's impact compounds over time in ways that are often underappreciated. At 5% monthly churn, you lose about 46% of your customers annually. To merely maintain your customer count, you need to replace nearly half your base every year. To grow, you need to acquire even more. This is why reducing churn has a multiplicative effect on growth: every percentage point of churn reduction contributes to retention for every future month.
Not all churn is the same. Early churn (within the first 90 days) typically indicates onboarding, activation, or expectation-setting issues. Late churn (after 12+ months) often signals competition, evolving needs, or inadequate product development. Diagnosing when churn occurs helps target the right interventions — onboarding improvements for early churn, feature development for late churn.
The most insightful churn analysis tracks retention by acquisition cohort. This reveals whether your product is getting better or worse at retaining customers over time. If recent cohorts have lower churn than older ones, your product improvements are working. If recent cohorts churn faster, something in your acquisition quality or onboarding has degraded.
High-growth companies sometimes accept elevated churn because they are experimenting with new markets, channels, or pricing. This is acceptable temporarily, but unsustainable long-term. The best companies eventually find a growth strategy that does not sacrifice retention, often by narrowing their ideal customer profile and deepening product value.
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For SaaS, monthly churn under 2% (annual under 22%) is considered good. Under 1% monthly (under 11% annual) is excellent. Consumer subscriptions tend to see higher churn (5-15% monthly) while enterprise B2B software targets under 1% monthly. The right benchmark depends on your market and pricing model.
Customer churn (logo churn) counts the number of customers lost as a percentage. Revenue churn measures the dollar amount of MRR lost as a percentage of starting MRR. A business could lose many small customers (high logo churn) but retain large ones (low revenue churn), or vice versa.
Don't simply multiply monthly churn by 12. Use the compound formula: Annual Churn = 1 − (1 − Monthly Churn)^12. For example, 5% monthly churn = 1 − (0.95)^12 = 46% annual churn, not 60%. The compound formula accounts for the shrinking base each month.
Customer half-life is the number of months it takes for half your customer base to churn. It's calculated as ln(0.5) ÷ ln(1 − churn rate). At 5% monthly churn, the half-life is about 13.5 months. At 2% monthly churn, it extends to about 34 months.
Common churn drivers include poor onboarding experiences, lack of perceived value, competitive alternatives, pricing concerns, product bugs or performance issues, inadequate customer support, and involuntary churn from payment failures. Most companies find that churn is concentrated in specific customer segments or product usage patterns.
CLV and churn have an inverse relationship: CLV = (ARPU × Margin) ÷ Churn Rate. Halving your churn doubles your CLV. This makes churn reduction one of the highest-leverage activities for any subscription business, often more impactful than acquiring new customers.
Involuntary churn occurs when customers leave due to failed payments rather than an active cancellation decision. Expired credit cards, insufficient funds, and payment processing errors cause involuntary churn. It can represent 20-40% of total churn and is addressable through dunning emails, card update reminders, and payment retry logic.
Customer churn (logo churn) only counts customers who completely leave. Downgrades are not churn from a customer standpoint. However, downgrades are captured in revenue churn and contraction MRR. Tracking both metrics gives you a better view of retention health.
Calculate annual recurring revenue (ARR) from MRR or subscription data. Track ARR growth, components, and project future ARR milestones for SaaS.
Calculate your average revenue per user (ARPU) across monthly and annual periods. Analyze ARPU by segment and plan pricing optimization strategies.
Calculate your customer acquisition cost (CAC) by dividing total sales and marketing spend by new customers acquired. Benchmark CAC across channels.