Predicting Customer Churn with Einstein Prediction Builder
Real-world Application: Customer Churn Prediction Use Case (Binary Example)
Predictive Model: An innovative predictive model has been crafted using Einstein Prediction Builder. This model is designed to provide probability scores for customer churn based on historical data.
Key Factors: The model meticulously considers various elements, including:
Customer service usage
Past behavior
Other relevant information
Personalised Predictions: By leveraging these factors, the system generates tailored predictions, empowering organisations to make data-driven decisions.
Demonstration Video: This video not only showcases the system in action but also reveals its potential to manage churn-risk customers effectively.
References
Official Docs - https://help.salesforce.com/s/articleView?id=sf.custom_ai_prediction_builder_lm.htm&type=5
Einstein Prediction Builder: A Deep Dive - https://www.salesforce.com/video/7790708/
