Industries / Telecommunications
One subscriber, three SIMs, a family plan, and a churn model that cannot tell they are related.
Prepaid, postpaid, and family plans fragment a single subscriber into several unrelated-looking records, and every model built on top of that fragmentation quietly inherits the blind spot.
A subscriber who moves from prepaid to postpaid, adds a family plan, or holds a second line for work frequently exists as several disconnected records instead of one. Churn models trained on fragmented data miss the household-level signal that actually predicts who leaves next. Fraud teams investigating a SIM-swap or account-takeover pattern are working from the exact same fragmented view. UnifyCore resolves subscriber records across every plan type and channel into one profile per person or household.
A churn model is only ever as smart as the record it was trained to see, and most of them were only ever shown a third of the picture.