Churn Analyzer
Free Tool

Free SaaS Churn Rate Calculator

Calculate your churn rate, retention rate, and customer lifetime in seconds. See how your numbers compare to industry benchmarks and understand the revenue impact.

$
%

Period B (comparison)

Your results

Churn Rate

5.00%

monthly

Retention Rate

95.00%

monthly

Avg. Customer Lifetime

20.0 months

Want personalized recommendations?

Get a custom churn reduction plan based on your numbers. Free, no strings attached.

No spam. Unsubscribe anytime.

Benchmarks

How does your churn rate compare?

5-7%

monthly

Early-stage SaaS

3-5%

monthly

Growth SaaS

1-2%

monthly

Mature SaaS

<1%

monthly

Enterprise SaaS

These benchmarks are based on industry data from SaaS companies. Your ideal churn rate depends on your business model, pricing, and customer segment.

Formulas

How to calculate churn rate

There are several ways to calculate churn. Here are the four most common formulas used by SaaS companies.

Simple Churn Rate

(Customers Lost / Customers at Start) x 100

The most common formula. Divide lost customers by your starting count for the period.

Example: (50 / 1,000) x 100 = 5% monthly churn

Adjusted Churn Rate

(Customers Lost / ((Start + End) / 2)) x 100

Uses the average customer count for the period, accounting for new customers gained.

Example: (50 / ((1,000 + 970) / 2)) x 100 = 5.08%

Revenue Churn Rate

(MRR Lost / MRR at Start) x 100

Measures lost recurring revenue instead of lost customers. More meaningful for businesses with varied pricing.

Example: ($5,000 / $100,000) x 100 = 5% MRR churn

Net Revenue Churn

((MRR Lost - Expansion MRR) / MRR at Start) x 100

Accounts for upsells and expansions. Negative net churn means existing customers generate more revenue over time.

Example: (($5,000 - $7,000) / $100,000) x 100 = -2% (negative = growth)

Guide

What is a good churn rate?

A “good” churn rate depends on your company stage, customer segment, and business model. However, here are some general guidelines for SaaS companies:

Monthly churn under 5% is acceptable for early-stage SaaS. If you are above 5% monthly, your product likely has a retention problem that should be addressed before scaling acquisition.

Monthly churn of 2-3% is solid for growth-stage companies. At this level, you have product-market fit and should focus on incremental improvements to retention.

Monthly churn under 1% is excellent and typically seen in enterprise SaaS with annual contracts and high switching costs. This is the gold standard.

Negative net churn is the holy grail. It means expansion revenue from existing customers exceeds lost revenue, so your customer base grows even without new acquisitions.

Remember: even a small reduction in churn compounds dramatically over time. Reducing monthly churn from 5% to 3% can more than double your customer lifetime value.

Tips

How to reduce your churn rate

Knowing your churn rate is the first step. Here is how to actually fix it.

01

Fix involuntary churn first

Up to 40% of SaaS churn comes from failed payments. Implement smart dunning and retry logic to recover this revenue automatically.

02

Monitor customer health scores

Track usage patterns, support interactions, and engagement to identify at-risk customers before they cancel.

03

Improve onboarding

Customers who reach their "aha moment" quickly are far less likely to churn. Map your activation milestones and guide users there.

04

Run proactive retention campaigns

Reach out to at-risk customers with personalized offers, check-ins, or success calls before they decide to leave.

05

Use predictive analytics

AI-powered tools can identify churn risk 30 days in advance, giving you time to intervene with the right message at the right time.

06

Collect and act on feedback

Exit surveys and NPS scores reveal why customers leave. Fix the root causes and close the feedback loop.

Want to automate churn prevention? Churn Analyzer predicts at-risk customers 30 days ahead and generates the fix.

See how it works

FAQ

Frequently asked questions

Churn rate (also called attrition rate) is the percentage of customers who stop using your product or service during a given time period. For SaaS businesses, it is one of the most critical metrics because it directly impacts recurring revenue and long-term growth.

The simplest formula is: Churn Rate = (Customers Lost During Period / Customers at Start of Period) x 100. For example, if you started the month with 1,000 customers and lost 50, your monthly churn rate is 5%.

A good monthly churn rate for SaaS companies is typically 3-5% for early-stage companies and under 2% for mature companies. Enterprise SaaS products often see churn rates below 1% monthly. Annual churn rates of 5-7% are considered excellent for B2B SaaS.

Gross churn measures only the revenue or customers lost. Net churn accounts for expansion revenue (upsells, cross-sells) from existing customers. If your expansion revenue exceeds lost revenue, you achieve negative net churn, which means your existing customer base is growing even without new acquisitions.

Customer churn (logo churn) counts the number of customers who cancel. Revenue churn (MRR churn) measures the lost recurring revenue. Revenue churn is often more meaningful because losing one enterprise customer impacts your business more than losing one small customer.

Average Customer Lifetime = 1 / Churn Rate. For example, with a 5% monthly churn rate, the average customer lifetime is 1 / 0.05 = 20 months. This helps you estimate Customer Lifetime Value (LTV) when multiplied by ARPU.

Common causes include poor onboarding, lack of product-market fit, missing features, involuntary churn from failed payments, poor customer support, pricing issues, and competition. Studies show that up to 40% of SaaS churn is involuntary (failed payment-related) and can be recovered with automated dunning.

Key strategies include: improving onboarding to drive activation, monitoring customer health scores to identify at-risk accounts early, automating dunning for failed payments, running personalized retention campaigns, gathering and acting on feedback, and using predictive analytics to intervene before customers cancel.

Stop calculating. Start fixing.

Churn Analyzer predicts which customers are about to cancel and generates the fix. Connect Stripe and start in 5 minutes.

Get Started Free Watch demo

Free forever for small teams · No credit card