Predict churn before it shows up in the dashboard.
Models trained on telco signals — usage, billing, network experience and sentiment — score every subscriber daily, rank the drivers behind each risk, and trigger the right prevention playbook automatically.
Most churn is predictable weeks out — the signals are just never connected.
Usage decay, billing friction, network complaints and falling sentiment each sit in a different system. Read alone, none of them look urgent. Scored together, daily, they name the subscribers about to leave — with enough lead time to actually change the outcome.
Lo resuelve en el mismo chat.
En WhatsApp, SMS y chat web autentica al suscriptor, resuelve la solicitud y envía el enlace — con contexto completo, en segundos.
Y contesta el teléfono.
Llamadas entrantes y salientes naturales que identifican la cuenta y ejecutan la acción en vivo — sin laberinto de IVR, sin música de espera.
- InerxiaHi Camila, this is Inerxia. We noticed a few dropped connections on your line this week.
- CallerYeah, it's been unreliable in the evenings.
- InerxiaI've scheduled a CPE swap for tomorrow and added a goodwill credit for the trouble.
- CallerAppreciate that, thank you.
Qué activa al agente.
Las señales se puntúan en tiempo real; la acción correcta se dispara automáticamente, dentro de tus límites.
- lines scored daily
- 128K
- median lead time before port-out
- 19d
- ranking AUC
- 0.91
Míralo funcionando con tus propios datos.
Agenda una demo de 30 minutos y observa a Churn prediction resolver casos reales en vivo.