Subscriber Churn Predictions with Customer Subscription, Feedback Management, and Sentiment Insights Data

Predict your subscribers’ churn using customer subscription data, Feedback Management data, and Sentiment Insights data. The Feedback Management and Sentiment Insights data is based on contacts associated with your subscribers’ accounts.

• Feedback Management data contains your subscribers’ responses to customer satisfaction (CSAT) and Net Promoter Score (NPS) survey questions.

• Feedback Management and Sentiment Insights data contains your subscribers’ responses to customer satisfaction (CSAT) and Net Promoter Score (NPS) survey questions and the sentiment behind their responses.

Explore more about Subscription, Feedback Management, and Sentiment Insights:

• Feedback Management and Sentiment Insights Churn Factors
  Apart from the factors recommended by TM Forum for subscriber churn, the machine learning model used for predicting subscriber churn includes these factors.
• Create Apps Using the Churn Prediction Templates for Feedback Management and Sentiment Insights
  Get Feedback Management and Sentiment Insights data for contacts associated with your subscribers’ accounts, and consume this data to generate example and prediction datasets, activity dates, customer lifetime value datasets for training and scoring purposes, and the training trends dataset. Then create an Einstein Discovery model that’s used to predict subscriber churn.
• Customize Factors for the Churn Model
  You can use fields from your data model as churn factors by updating the preconfigured recipes and the model.