Telecom Loyalty & Churn AI
This AI solution uses AI and machine learning to predict which telecom subscribers are likely to churn, why they are at risk, and which retention offers will be most effective. It optimizes loyalty campaigns, pricing incentives, and proactive outreach, boosting customer lifetime value while reducing churn and marketing waste.
The Problem
“Predict churn early and pick the best retention action for each subscriber”
Organizations face these key challenges:
1
Retention campaigns are broad and discount-heavy, eroding margin without reducing churn
2
Churn signals are scattered across billing, usage, network QoE, and care interactions
3
Marketing and care teams can’t explain churn drivers clearly enough to act fast
4
Offer strategy is optimized on lagging KPIs instead of incremental lift