Telecom — Customer Churn Detection and Retention Strategy

Overview

The primary purpose of this DAG is to detect customer churn within the telecom industry, enabling companies to proactively implement retention strategies. It utilizes various data sources, including CRM systems, interaction logs, and customer feedback, to gain a comprehensive view of customer behavior. The ingestion pipeline begins with the collection of these data sources, followed by data cleansing and transformation to ensure accuracy and consistency. The processing steps include behavior ana

The primary purpose of this DAG is to detect customer churn within the telecom industry, enabling companies to proactively implement retention strategies. It utilizes various data sources, including CRM systems, interaction logs, and customer feedback, to gain a comprehensive view of customer behavior. The ingestion pipeline begins with the collection of these data sources, followed by data cleansing and transformation to ensure accuracy and consistency. The processing steps include behavior analysis to identify patterns indicative of churn risk, the development of predictive models using machine learning algorithms, and the formulation of re-engagement campaigns tailored to at-risk customers. Quality controls are integrated throughout the process, ensuring the reliability of the predictive models, with key performance indicators (KPIs) focused on retention rates and campaign effectiveness. Monitoring mechanisms are established to track the performance of retention efforts, and in the event of model failures, notifications are dispatched to relevant teams for immediate action. This DAG not only enhances customer retention but also significantly contributes to revenue stability and growth by minimizing churn-related losses.

Part of the Pricing Optimization solution for the Telecom industry.

Use cases

• Reduces customer churn, enhancing long-term revenue stability.
• Increases customer lifetime value through targeted retention strategies.
• Improves customer satisfaction with personalized engagement efforts.
• Optimizes marketing spend by focusing on high-risk customers.
• Provides actionable insights for strategic decision-making in telecom.