Churn Rate Calculator

Calculate customer churn rate (logo churn) by dividing lost customers by starting customer count. Analyze retention, half-life, and churn impact on growth.

Optional
Monthly Churn Rate
4.00%
80 of 2,000 customers
Retention Rate
96.00%
Monthly
Annual Churn
38.73%
61.27% annual retention
Customer Half-Life
17.0 months
Time to lose 50% of base
Avg Customer Lifespan
25.0 months
~2.1 years
Net Customer Growth
+40
End: 2,040 (+2.00%)
Growing+40 net customers
+120 new − 80 lost = +40 net
Need 80+ new customers/mo to grow

Retention Curve (2,000 starting customers)

MonthSurvival %RemainingRetention Bar
196.00%1,920
292.16%1,843
388.47%1,769
678.28%1,566
969.25%1,385
1261.27%1,225
1847.96%959
2437.54%751
3623.00%460
4814.09%282
608.64%173

Churn Rate Benchmarks

MonthlyAnnualHalf-LifeAvg Lifespan
0.50%5.84%138.3 mo200.0 mo
1.00%11.36%69.0 mo100.0 mo
2.00%21.53%34.3 mo50.0 mo
3.00%30.62%22.8 mo33.3 mo
4.00%38.73%17.0 mo25.0 mo
5.00%45.96%13.5 mo20.0 mo
7.00%58.14%9.6 mo14.3 mo
10.00%71.76%6.6 mo10.0 mo
15.00%85.78%4.3 mo6.7 mo
20.00%93.13%3.1 mo5.0 mo

Impact of Reducing Churn

ReductionNew ChurnNew LifespanLifespan 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%
Planning notes, formulas, and examples

About the Churn Rate Calculator

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.

When This Page Helps

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.

How to Use the Inputs

  1. Enter the number of customers at the start of the period.
  2. Enter the number of customers lost during that period.
  3. Optionally enter new customers acquired to see net growth.
  4. Review your churn rate, retention rate, and customer half-life.
  5. Examine the retention curve to see projected customer survival over time.
  6. Use the churn rate comparison table to benchmark different scenarios.
  7. Identify the impact of churn reduction on your customer base.
Formula used
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)

Example Calculation

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.

Tips & Best Practices

  • Track churn monthly and compare trends — a rising churn rate demands immediate attention.
  • Segment churn by customer type, plan, and acquisition channel to find root causes.
  • Reducing churn from 5% to 3% monthly almost doubles average customer lifespan.
  • Early churn (first 30-90 days) often indicates onboarding problems, not product issues.
  • Involuntary churn from failed payments can be 20-40% of total churn — implement dunning.
  • Benchmark: best SaaS companies achieve under 2% monthly churn, elite ones under 1%.
  • Calculate both logo churn and revenue churn — they tell different stories.
  • Net negative revenue churn is possible even with positive logo churn if expansion revenue exceeds losses.

The Compounding Impact of Churn

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.

Early Churn vs Late Churn

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.

Cohort-Based Churn Analysis

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.

The Churn-Growth Tradeoff

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.

Sources & Methodology

Last updated:

Frequently Asked Questions

  • 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.