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Telecom — Customer Retention Scoring Model Deployment

Free

This DAG implements online scoring models to predict customer retention in the telecom sector. It integrates results into CRM systems for targeted marketing actions, enhancing customer loyalty and reducing churn.

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Overview

The primary purpose of this DAG is to deploy online scoring models that predict customer retention, thereby enabling telecom companies to proactively manage customer relationships. The data sources include customer transaction logs, usage patterns, and CRM data, which are ingested to form a comprehensive view of customer behavior. The ingestion pipeline processes these data sources to create a unified dataset, ensuring that all relevant information is available for analysis. The processing ste

The primary purpose of this DAG is to deploy online scoring models that predict customer retention, thereby enabling telecom companies to proactively manage customer relationships. The data sources include customer transaction logs, usage patterns, and CRM data, which are ingested to form a comprehensive view of customer behavior. The ingestion pipeline processes these data sources to create a unified dataset, ensuring that all relevant information is available for analysis. The processing steps involve data cleansing to remove inconsistencies, feature engineering to extract meaningful variables, and model scoring to generate retention predictions. Quality controls are implemented at each stage, including validation checks to ensure data integrity and model accuracy. The outputs of this process are retention scores, which are integrated into the CRM system, allowing marketing teams to execute targeted campaigns based on predicted customer behavior. Monitoring key performance indicators (KPIs) such as model accuracy, customer engagement rates, and campaign effectiveness is crucial to assess the performance of the deployed models. In the event of model failure or underperformance, a rollback mechanism is activated to restore the previous state, ensuring business continuity. The overall business value lies in improved customer retention strategies, optimized marketing spend, and enhanced customer satisfaction, ultimately leading to increased revenue for telecom companies.

Part of the Governance & Compliance solution for the Telecom industry.

Use cases

  • Increased customer loyalty through personalized marketing
  • Reduced churn rates by predicting at-risk customers
  • Enhanced decision-making based on data-driven insights
  • Optimized resource allocation for marketing efforts
  • Improved customer satisfaction and engagement levels

Technical Specifications

Inputs

  • • Customer transaction logs
  • • Customer usage patterns
  • • CRM customer profiles
  • • Marketing campaign history
  • • Customer feedback data

Outputs

  • • Retention scores for each customer
  • • Integrated CRM updates with scoring results
  • • Performance reports on marketing effectiveness
  • • Alerts for model performance issues
  • • Rollback state confirmation

Processing Steps

  1. 1. Ingest customer transaction logs and CRM data
  2. 2. Cleanse and validate input data for accuracy
  3. 3. Perform feature engineering on customer data
  4. 4. Apply scoring models to predict retention
  5. 5. Integrate retention scores into CRM system
  6. 6. Monitor KPIs for model performance
  7. 7. Activate rollback mechanism if needed

Additional Information

DAG ID

WK-0515

Last Updated

2025-03-01

Downloads

60

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