Calculating SaaS Churn Rate: A Complete Guide

Added:

Data Setup
Cohort Logic
Contract Terms
Remaining Calc
Churn Number
Churn Rate
Revenue Impact
Annual View
Key Insights

Data Setup

1:59
Playing Section
  • 1

    Define customer additions per month over a 5-year period.

  • 2

    Set up a matrix with months as both rows and columns.

  • 3

    Input arbitrary numbers for customer growth to begin modeling.

Fundamental concepts of the Software-as-a-Service (SaaS) business model, including Monthly Recurring Revenue (MRR) and Annual Recurring Revenue (ARR).
Basic principles of cohort analysis, which involves grouping customers based on their sign-up date or common characteristics.
Elementary algebra and matrix notation, specifically how matrices can be used to organize multi-dimensional data points.
An understanding of simple customer retention concepts (the basic definition of why and when customers stop subscribing).
Differentiating between advanced churn metrics, such as Gross Revenue Churn, Net Revenue Churn, and Logo/Customer Churn.
Developing predictive churn models using survival analysis and machine learning algorithms to identify high-risk accounts.
Calculating and optimizing the Customer Lifetime Value to Customer Acquisition Cost (LTV:CAC) ratio using accurate, contract-adjusted churn rates.
Designing actionable customer success strategies and playbooks aimed at improving Net Revenue Retention (NRR) and expansion revenue.
674 views12likes30:13@smarthelpingOriginal Release: 2022-08-31

Churn rate in SaaS businesses is calculated by tracking customer cohorts over time, where each month's customer additions are tracked and their retention is modeled based on contract length and renewal rates; the churn rate is then derived by dividing the number of customers lost from each cohort by the beginning customer count for that period, with the calculation accounting for different contract terms (month-to-month vs. annual) and renewal patterns to provide accurate monthly and annual churn metrics.