This Guidance uses machine learning (ML) to help you build a churn prediction model using structured and unstructured data. Customer churn, or customer attrition, measures the number of customers that stop using one of your products or services. By using a model that forecasts churn, you can take preventative action to identify behaviors and patterns that indicate churn probability for a set of customers. This Guidance can help business-to-business (B2B) organizations that use customer feedback and relationships to better understand customer satisfaction.
