Definition
Churn Prediction is the process of identifying customers who are likely to cancel a subscription to a service. It`s vital for startups to minimize customer loss and maximize retention strategies.
Usage and Context
Businesses use churn prediction to find out which customers might leave. This helps them act early to keep these customers.
Frequently asked questions
What is the churn prediction process? The churn prediction process uses data to spot customers who might stop using a service soon. It helps businesses take steps to keep them.

What is an example of churn prediction? An example is when a streaming service notices you`re watching less. They might offer you a deal to keep you interested.

Why is churn prediction important? Churn prediction is important because it helps businesses keep more customers. This can save money and increase profits.
Related Software
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Benefits
Churn prediction lets businesses act before they lose customers. It can make customers happier and boost sales.
Conclusion
Churn prediction is a tool for keeping customers. It helps businesses understand and meet their customers` needs better.
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