Customer Churn Management

Customer Churn Management focuses on identifying subscribers who are likely to leave, understanding the drivers of their dissatisfaction, and triggering timely, targeted actions to keep them. In telecommunications, where services are highly commoditized and switching costs are low, even small improvements in churn rates translate into significant revenue and margin gains. This application turns massive volumes of customer data—usage patterns, payment behavior, complaints, support interactions, and contract details—into a prioritized view of at‑risk customers. AI is used to build churn propensity models, uncover root causes of churn for different micro‑segments, and recommend next‑best‑actions such as tailored offers, service recovery steps, or proactive outreach. Deployed across call centers, digital channels, and retention teams, these systems enable operators to act before dissatisfaction turns into cancellation, and to personalize interventions at scale rather than relying on broad, reactive win‑back campaigns.