Cutting Churn 34% with Predictive Customer Intelligence

The Challenge

A growing B2B SaaS company was losing customers to churn faster than their sales team could replace them. Their customer success team had no early warning system — by the time they identified at-risk accounts, it was already too late to intervene. Each churned customer represented months of recovered acquisition cost.

Our Solution

We built a churn prediction platform that scores every account daily using behavioral signals, product usage, and support history. High-risk accounts automatically trigger intervention playbooks for the CS team — surfaced in a simple dashboard integrated with their existing CRM.

Implementation Approach

1. 1Churn probability model trained on behavioral and billing data
2. 2Real-time signals from product usage and support activity
3. 3Automated email and in-app intervention sequences
4. 4CS team dashboard with account health scores and recommended actions
5. 5Reporting on intervention outcomes over time