Customer health scoring: predict churn before it happens

Churn prediction isn't magic. It's a model of risk signals.

In Recall Touch, customer health is driven by three practical inputs: whether calls are being answered, whether leads are turning into booked appointments, and how recently the customer is showing engagement signals (activity and outcomes).

When the model detects rising risk, it powers needs-attention routing so the team can take action before renewals become an emergency. Health scoring makes retention work predictable — not reactive.

See a practical example for HVAC in your workflows.