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Churn Rate Calculator

Calculate monthly and annual churn rates, build cohort survival tables, and see how churn impacts growth. Works for customer churn and revenue churn. Correctly annualizes using compound decay, not simple multiplication.

Customer churn counts users; revenue churn measures lost MRR
Total customers at the beginning of the month
Customers who cancelled or did not renew
Estimates only. Actual churn depends on measurement methodology, cohort segmentation, and business model.

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How to Use This Calculator

Tab "Monthly Churn"

Enter the number of customers at the start of the period and the number lost during the period. The calculator shows your monthly churn rate, annualized churn, average customer lifespan, and a SaaS benchmark rating. Switch to revenue churn mode to calculate MRR churn instead.

Tab "Annual & Cohort"

Enter your monthly churn rate (from Tab 1 or your own data) and a cohort starting size. The result shows the correctly annualized churn rate using compound decay (not monthly × 12), retention rate, and a cohort survival table showing how a group of customers decays over 36 months.

Tab "Churn vs Growth"

Enter your monthly churn rate and monthly acquisition rate. The calculator shows your net growth rate, the percentage of new customers that merely replace churned ones, and a cost insight about the hidden expense of high churn even when you are growing.

The Formulas

Monthly churn rate:
Monthly Churn = Customers Lost / Customers at Start × 100%

Revenue churn rate:
Revenue Churn = MRR Lost / MRR at Start × 100%

Annualized churn (compound decay):
Annual Churn = 1 − (1 − Monthly Rate)^12
This is NOT monthly × 12. Multiplying overstates churn.

Average customer lifespan:
Lifespan = 1 / Monthly Churn Rate (in months)

Cohort survival:
Surviving = Starting Size × (1 − Monthly Rate)^Months

Net growth rate:
Net Growth = Acquisition Rate − Churn Rate

All calculations are universal. SaaS benchmarks are industry averages and may not apply to every business model or market segment.

Worked Examples

Example 1 — 1,000 customers, 45 lost: 4.5% monthly churn

A SaaS company starts the month with 1,000 paying customers and loses 45 to cancellation.

Customers at start1,000
Customers lost45
Monthly churn rate45 / 1,000 = 4.5%
Annualized churn1 − (1 − 0.045)^12 = 42.7%
Average lifespan1 / 0.045 = 22.2 months
BenchmarkTypical (2–5% range)

Note the annualized rate is 42.7%, not 54% (4.5 × 12). Compound decay gives the true figure. The average customer stays for about 22 months.

Example 2 — Cohort decay: 1,000 customers at 4.5% monthly churn

Track a cohort of 1,000 customers acquired in January to see how many remain over time.

After 3 months869 remaining (13.1% lost)
After 6 months755 remaining (24.5% lost)
After 12 months573 remaining (42.7% lost)
After 24 months328 remaining (67.2% lost)
After 36 months188 remaining (81.2% lost)

At 4.5% monthly churn, fewer than 1 in 5 customers from the original cohort remain after 3 years. This is why even "moderate" churn compounds into massive customer loss over time.

Example 3 — Churn vs growth: 5% churn, 8% acquisition

A company churns 5% of customers monthly but acquires 8% new customers relative to its base.

Monthly churn rate5%
Monthly acquisition rate8%
Net growth rate8% − 5% = +3%/month
Annualized churn1 − (1 − 0.05)^12 = 46.0%
Replacement burden62.5% of new customers replace churned ones

The company is growing at 3%/month, but 62.5% of acquisition effort simply replaces lost customers. With customer acquisition costing 5–7× more than retention, reducing churn from 5% to 3% would be more profitable than increasing acquisition from 8% to 10%.

Understanding Churn Rate

What Is Churn Rate?

Churn rate measures the percentage of customers (or revenue) lost over a given period. It is the inverse of retention: if you retain 95.5% of customers monthly, your churn rate is 4.5%. Churn is the single most important metric for subscription businesses because it directly determines customer lifetime value and long-term growth potential.

Customer Churn vs Revenue Churn

Customer churn counts the number of users who cancel. Revenue churn measures the dollar value of recurring revenue lost. Revenue churn can be higher or lower than customer churn depending on which customers leave. If your cheapest customers churn most, revenue churn will be lower than customer churn. If your biggest accounts leave, revenue churn will be higher.

Why Annualization Matters

A common mistake is multiplying monthly churn by 12 to get annual churn. This is wrong because churn compounds: each month you lose customers from an already-smaller base. The correct formula uses compound decay: Annual = 1 − (1 − Monthly)^12. At 4.5% monthly churn, the correct annual rate is 42.7%, not 54%.

The Hidden Cost of Churn

Even when a company is growing, high churn creates a "leaky bucket" problem. If you churn 5% monthly and acquire 8%, your net growth is 3%. But 62.5% of your acquisition spend merely replaces lost customers. Since acquiring a new customer costs 5–7× more than retaining one, reducing churn is almost always more cost-effective than increasing acquisition.

SaaS Churn Benchmarks

For SaaS businesses: <2% monthly is excellent and typical for enterprise products with long contracts. 2–5% is normal for SMB SaaS. 5–7% is high and signals product or market issues. >7% is critical and usually means a fundamental product-market fit problem. Consumer subscription services typically have higher churn than B2B SaaS.

Frequently Asked Questions

Divide the number of customers lost during the month by the number of customers at the start of the month, then multiply by 100. For example: 45 lost out of 1,000 = 4.5% monthly churn. For revenue churn, use MRR lost divided by starting MRR instead.
Multiplying ignores compound decay. Each month, churn applies to a smaller base. The correct formula is 1 − (1 − monthly rate)^12. At 4.5% monthly, the true annual churn is 42.7%, not 54%. The error grows with higher churn rates: 10% monthly is actually 71.8% annual, not 120%.
A cohort survival table tracks a group of customers from the same acquisition period and shows how many remain over time. It reveals the compound effect of churn: at 4.5% monthly, only 57% of a cohort survives 12 months, 33% survives 24 months, and 19% survives 36 months. This helps estimate customer lifetime value and required acquisition volumes.
Under 2% monthly is excellent (common for enterprise SaaS). 2–5% is typical for SMB-focused products. Above 5% signals a problem, and above 7% is critical. Revenue churn is often lower because larger accounts are stickier. Best-in-class SaaS companies achieve negative net revenue churn through upsells and expansion revenue.
Net growth = acquisition rate minus churn rate. But even with positive net growth, high churn is expensive: a company with 5% churn and 8% acquisition sees 62.5% of new customers just replacing lost ones. Reducing churn by 1% is typically more valuable than increasing acquisition by 1%, because retained customers have higher LTV and require zero acquisition cost.

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