Churn Rate Percentage Calculator
How to Use This Calculator
- 1
Enter Your Customer Counts
Input the total number of customers at the beginning of the period and the number of customers who cancelled or left during that period. Use accurate data from your CRM or billing system for the most reliable results.
- 2
Review Your Churn Metrics and Insights
The calculator instantly displays your churn rate percentage, retention rate, customers lost, remaining customers, annualised churn (compounded over 12 months), and average customer lifetime in periods. An insights card provides revenue impact analysis, industry benchmarks for 2026, and customer lifetime value context.
Example Calculation
A SaaS company in 2026 starts the month with 5,000 subscribers and loses 200 customers during the period.
Customers at Start
5,000
Customers Lost
200
Results
Churn Rate
4.00%
Retention Rate
96.00%
Customers Lost
200
Remaining Customers
4,800
Annualised Churn
38.73%
Avg Customer Lifetime
25.0 periods
Insights card shows revenue impact analysis, industry benchmarks, and customer lifetime value context.
Tips
Track Churn Monthly and Compare Against Industry Benchmarks
In 2026, healthy monthly churn benchmarks are 3-5% for B2B SaaS, 5-8% for B2C subscriptions, and 10-15% for consumer apps. Track your churn rate each month and plot the trend — a single month's rate can be misleading, but a rising 3-month moving average signals a systemic retention problem that needs immediate attention.
Understand the Compounding Effect of Monthly Churn
A seemingly small 5% monthly churn rate compounds to nearly 46% annual churn — meaning you lose almost half your customer base every year. This compounding effect is why even a 1 percentage point reduction in monthly churn (from 5% to 4%) saves roughly 7 percentage points of annual churn, potentially retaining hundreds of additional customers and thousands in recurring revenue.
Segment Churn by Customer Cohort for Actionable Insights
Overall churn rate masks important patterns. In 2026, best-practice SaaS companies segment churn by acquisition cohort, pricing tier, industry, and tenure. Early-stage churn (first 90 days) often points to onboarding problems, while later churn may indicate missing features or competitive pressure. Fixing the highest-churn segment first yields the biggest retention gains.
Calculate Revenue Churn Alongside Customer Churn
Customer churn treats all customers equally, but a lost enterprise client at $10,000/month has far greater impact than a lost $20/month user. Track net revenue churn — which accounts for expansion revenue from remaining customers — alongside customer churn. Many healthy SaaS companies in 2026 achieve negative net revenue churn through upsells even while losing some smaller accounts.
Frequently Asked Questions
How is churn rate percentage calculated?
Churn rate percentage is calculated by dividing the number of customers lost during a period by the total number of customers at the start of that period, then multiplying by 100. For example, if you start with 1,000 customers and lose 50, your churn rate is (50 / 1,000) x 100 = 5.00%. This formula gives you the percentage of your customer base that left during that specific period.
What is a good churn rate for a subscription business in 2026?
In 2026, a good monthly churn rate depends on your business model. B2B SaaS companies typically target 3-5% monthly churn, with best-in-class achieving under 2%. B2C subscription services average 5-8%, while consumer mobile apps often see 10-15%. Annual churn below 30% is generally considered healthy for most subscription businesses. The key is consistent improvement — reducing churn by even 1 percentage point per month has a significant compounding effect on annual retention.
What is the difference between churn rate and retention rate?
Churn rate and retention rate are complementary metrics that always sum to 100%. If your churn rate is 5%, your retention rate is 95%. Churn rate measures the percentage of customers who left, while retention rate measures the percentage who stayed. Both convey the same information from different perspectives — retention rate is often preferred in investor communications because it frames the metric positively, while churn rate is more commonly used in operational analysis to identify and quantify customer loss.
Why does annualised churn seem so much higher than monthly churn?
Annualised churn appears much higher because it compounds over 12 months rather than simply multiplying by 12. The formula is 1 - (1 - monthly churn rate)^12. For example, 5% monthly churn does not equal 60% annual churn — it equals approximately 46% because each month's churn applies to the remaining (already reduced) customer base. This compounding effect is why small monthly improvements have outsized annual impact: reducing monthly churn from 5% to 4% drops annual churn from about 46% to about 39%.
How do I use average customer lifetime to estimate customer lifetime value?
Average customer lifetime (calculated as 1 divided by the churn rate expressed as a decimal) tells you how many periods a customer stays before churning. Multiply this by your average revenue per customer per period to get customer lifetime value (LTV). For example, with a 4% monthly churn rate, average lifetime is 25 months. If each customer generates $50/month, LTV is 25 x $50 = $1,250. Compare this to your customer acquisition cost (CAC) — a healthy LTV:CAC ratio is 3:1 or higher.
Should I calculate churn rate monthly, quarterly, or annually?
Monthly calculation is the most common and recommended approach because it provides the fastest feedback loop for identifying and addressing retention problems. However, the best period depends on your business cycle. Monthly works well for SaaS and subscription businesses. Quarterly may be more appropriate for businesses with annual contracts where monthly fluctuations are noisy. Regardless of your primary period, always annualise the rate for strategic planning and investor reporting — a 3% monthly churn rate that looks manageable translates to roughly 31% annual customer loss, which demands attention.