AI Churn Prediction and Retention for Telecom Operators

Typical outcomes for this kind of engagement. Results depend on your data and starting point.

Operators often learn a subscriber is leaving only when the port-out request arrives, when the only option is an expensive save offer with poor odds.

• Churn identified at port-out, when intervention options are minimal
• No granular churn risk scoring by subscriber or segment
• Generic save offers eroding margin without retaining subscribers

CloudGate builds a churn prediction and retention platform on Microsoft Fabric and Azure Machine Learning that scores every subscriber daily on network experience, usage, billing, care interactions and competitive context.

• Daily churn risk scoring per subscriber
• Explainable risk drivers so interventions address the actual cause
• Personalized retention journeys orchestrated in Power Automate