health-scoring

Build a customer health score by aggregating signals from CRM, support, and product analytics into a single composite metric. Define weighted dimensions and actionable factors to explain score movements and identify account risks.

The best way to create a churn risk score is to aggregate data from your support platform and product analytics to form a composite score. Apply weighted dimensions and risk flags across accounts to prioritize CX interventions.

Set up risk flags by defining specific health dimensions and assigning weights to factors derived from CRM and support data. This structured approach quantifies risk and prioritizes interventions for customer success teams.

Yes, you can compute the health score for a specific account segment within a custom time range like the last 90 days. Apply the composite scoring model across segments to assess risk and track trends over time.

Customer health scoring outputs are designed for CX dashboards and operator reviews. The composite score and actionable factors provide clear visibility into account prioritization and trends for executive reporting.

Weighted factors are needed to accurately quantify customer health issues because they explain score movements by showing which CRM, support, or product analytics signals contribute most to risk within an account.