What is churn propensity in SAP CEC-MKT-ML - Machine Learning?

SAP Term: churn propensity

• Component: CEC-MKT-ML

• Component Name: Machine Learning

• Description: probability that a customer will stop buying a product or stop using a service

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• Key Concepts: 
  Churn propensity is a predictive analytics tool used to identify customers who are likely to leave a company or service. It is part of the SAP CEC-MKT-ML Machine Learning component, which uses machine learning algorithms to analyze customer data and identify patterns that can be used to predict customer behavior. 
  
  How to use it: 
  Churn propensity can be used to identify customers who are at risk of leaving a company or service. This information can then be used to target those customers with special offers or incentives in order to retain them. The SAP CEC-MKT-ML Machine Learning component can be used to analyze customer data and identify patterns that can be used to predict customer behavior. 
  
  Tips & Tricks: 
  When using churn propensity, it is important to ensure that the data being analyzed is up-to-date and accurate. Additionally, it is important to consider other factors such as customer satisfaction and loyalty when making decisions about how to retain customers. 
  
  Related Information: 
  SAP CEC-MKT-ML Machine Learning is part of the SAP Customer Experience suite, which provides tools for managing customer relationships and improving customer experience. Additionally, there are other predictive analytics tools available from SAP such as Customer Lifetime Value and Customer Segmentation.