Overview / Usage

Churn analytics is the process of analyzing customer data to identify patterns and trends that indicate customer churn. This information can be used to identify the factors that contribute to churn and to develop strategies for reducing it.

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The goal of churn analytics is to reduce customer churn by identifying and addressing the factors that contribute to it. This can be done by analyzing historical customer data to identify patterns and trends, and by conducting surveys and interviews with customers to get their feedback on why they churned.

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The benefits of conducting churn analytics include:

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Identifying the factors that contribute to churn

Predicting future churn

Improving customer retention