Churn Rate
Churn rate is the percentage of customers who stop using a product or service within a given time period, calculated by dividing lost customers by total customers at the start of the period.
In Depth
Churn rate is the inverse of retention and one of the most critical SaaS metrics. A monthly churn rate of 5% might seem small, but it compounds to losing nearly half your customer base annually. Understanding and reducing churn requires analyzing why customers leave — common reasons include poor support experiences, unresolved issues, lack of perceived value, and competitive alternatives.
Churn rate should be tracked both as gross churn (total customers lost) and net churn (accounting for expansion revenue from remaining customers). AI agents reduce churn by ensuring every support interaction is fast, accurate, and satisfying. Predictive analytics can identify customers showing early churn signals, enabling preemptive outreach.
Companies that implement AI-driven support typically see 15-30% reductions in churn rate within the first year.
Related Terms
Customer Churn
Customer churn is the rate at which customers stop doing business with a company over a given period, typically expressed as a percentage of the total customer base.
Customer Retention
Customer retention is the ability of a business to keep existing customers over a period of time, measured as the percentage of customers who continue using the product or service.
Churn Prediction
Churn prediction uses data analytics and machine learning to identify customers who are likely to stop using a product or service before they actually leave.
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