Cohort Churn Calculator

Calculate and analyze your customer churn rate by cohort to understand retention patterns and improve customer lifetime value.

Monthly Plan Settings

Annual Plan Settings

Global Settings

How It Works

  1. Enter your monthly plan settings:

    • Initial MRR per cohort
    • First month churn rate (typically higher)
    • Second month churn rate (usually lower than first month)
    • Standard monthly churn rate (steady-state)
    • Number of cohorts to analyze
  2. Enter your annual plan settings:

    • Initial MRR per cohort
    • Annual churn rate
    • Number of cohorts to analyze
  3. Configure analysis settings:

    • Analysis period in months
    • Start date for cohort tracking

The calculator will generate:

  • Retention curves for each cohort
  • Blended retention rate across all cohorts
  • Weighted average churn rate
  • Customer count trends

Understanding the Results

Formulas

  1. Monthly Plan Retention:
Month 1 Retention = 100% - First Month Churn Rate
Month 2 Retention = Month 1 Retention × (100% - Second Month Churn Rate)
Month N Retention = Month N-1 Retention × (100% - Standard Churn Rate)
  1. Annual Plan Monthly Retention:
Monthly Churn Rate = 1 - (1 - Annual Churn Rate)^(1/12)
Monthly Retention = Previous Month Retention × (1 - Monthly Churn Rate)
  1. Weighted Average Churn:
Weighted Churn = Σ (Cohort Churn × Cohort MRR) / Total MRR

Benchmarks

Early-stage churn rates typically follow this pattern:

  • First month: 15-25%
  • Second month: 10-15%
  • Steady state monthly: 2-5%
  • Annual plan: 10-15%

For established SaaS companies:

  • Good: ≤ 5% monthly churn
  • Concerning: 5-10% monthly churn
  • Critical: > 10% monthly churn

Common Use Cases

  1. Cohort Analysis

    • Track how retention changes across different signup periods
    • Identify if newer cohorts perform better or worse
    • Measure the impact of onboarding improvements
  2. Plan Comparison

    • Compare retention between monthly and annual plans
    • Calculate the lifetime value difference
    • Optimize pricing strategy
  3. Churn Pattern Detection

    • Identify critical drop-off points
    • Measure the effectiveness of retention initiatives
    • Forecast long-term customer base stability

Limitations

  • Assumes consistent churn patterns within each plan type
  • Does not account for seasonal variations
  • Simplified model of expansion revenue
  • Does not consider customer segment differences

Tips for Improvement

  1. Reduce Early Churn

    • Improve onboarding experience
    • Set clear expectations
    • Provide early wins
    • Implement success metrics
  2. Optimize Annual Plans

    • Offer incentives for annual commitments
    • Target high-retention segments
    • Bundle additional value
    • Provide migration paths
  3. Monitor Cohort Health

    • Track leading indicators
    • Segment by customer characteristics
    • Measure feature adoption
    • Survey at-risk customers

Related Metrics

Core Metrics

Growth Metrics

Financial Metrics