The Cost of Churn in Telecom
Subscriber churn is the primary revenue leak for mid-tier telecom operators. For an MVNO operating with thin margins and no infrastructure moat, losing 2–3% of subscribers per month compounds into a structural revenue problem within a quarter.
The standard response — reactive win-back campaigns — treats churn as an event rather than a signal. By the time a subscriber has churned, the cost of recovery exceeds the cost of retention by a factor of five to seven.
A Predictive Approach
sapium.ai’s churn prediction pipeline ingests CDR (call detail record) data, recharge patterns, and customer service interaction signals to produce per-subscriber churn probability scores 30 days in advance.
The output is not a model — it is an operational artefact: a daily-refreshed risk list integrated into the operator’s CRM, with pre-approved retention offers mapped to risk tier. The model earns its place by changing the metric that matters: 30-day voluntary churn rate.