Key takeaways
- H2O Driverless AI builds churn models from your own transaction, product, and service history, down to the level of each customer.
- Churn scores come with reason codes, so your relationship managers see what is pushing a customer away, not just a number.
- Models learn leading indicators such as falling balances, fewer logins, or a salary deposit that stops, so you can act weeks before an account closes.
- The churn score feeds the retention offers and campaigns you already run; it does not replace your CRM or campaign tools.
Customers leave quietly, long before the account closes
Most customers do not tell you they are leaving. They move their salary deposit, stop using the card, and let the balance drift down, and by the time the account closes, the decision was made months earlier.
A single churn model refreshed once a quarter misses those signals. It produces a list nobody trusts, because it cannot say why a customer is on it or what would keep them.