Collections & Recovery for Telecommunications

Telecom teams we work with:

Credit — Leverage credit risk analytics to ensure all offers and customer decisions are consistent with the desired risk strategy and meet all regulatory requirements.

Loss prevention — Better predict future losses and prescribe proactive treatments that reduce fraud and attrition losses through data and analytics.

Marketing communications — Improve the efficiency of your marketing spend and drive increases in APRU with a risk-informed and analytics-driven approach.

Customer lifecycle management — Focus your company's efforts by identifying the "best" segments and operationalize these insights with an agile approach.

Loyalty retention — Drive increases in LTV by deeply understanding which at-risk customers are likely to churn and align with your marketing team to deliver highly targeted and personalized retention offers.

• Streamline first-party collections and recovery efforts. Today's consumers often prefers digital reminders for self-service when they are late on payment. Better segment and engage your customers with an orchestrated decision strategy for collections that leverages analytics and works across channels to ensure your contact center agents and digital efforts are reaching their full potential.
• Manage debt collection agencies with math. Ensure the right agencies are matched with the right customers to improve efficiency and give you clear insights into how each agency is performing. This approach reduces the amount you spend, increases the amount collected, and ensures the best customer experience — all while ensuring regulatory compliance.
• Accurately predict and forecast future losses. Analytics and optimization science can better predict bad debt by automating and streamlining your loss forecasting management. This gives you the ability to simulate and test different scenarios in order to improve profitability and provide a differentiated CX.