Customer health score software that tells you why

Customer health score software turns the signals a customer sends through your product, billing, and support systems into a single score that tells you how likely they are to renew, expand, or churn. Customerscore.io goes further than a static number: it scores every account for churn risk and upsell potential, and shows the specific drivers behind each score so your team knows exactly what to do.

Rule-based scores make you pick signals, set weights, and maintain thresholds, and they drift the moment your product or customer base changes. Customerscore.io's model is trained on tens of thousands of SaaS users, scores each account daily against its own history and the latest signals, and explains why. Because every customer is scored individually, against its own history, a seasonal business that goes quiet every summer is not flagged as a churn risk, while the same drop in a customer that never slows down is. There are no rules to build or recalibrate.

Billing data alone is enough for a first score. Connect your billing (Stripe, Chargebee) and product analytics (Mixpanel, PostHog, Segment, Amplitude), optionally CRM and support (HubSpot, Salesforce, Intercom, Freshdesk). For the sharpest scoring the model wants roughly two months of history and a set of past churn events to learn from, but it starts surfacing signals from the data you have.

Yes. Customerscore.io connects to HubSpot, Salesforce, Intercom and other tools natively, and pushes scores and drivers back into the systems your team already works in, plus webhooks and API for anything custom.

A per-account deep-dive analyzes all connected data sources, and a daily scoring pass evaluates every customer against the latest signals. Each account gets a Churn Risk Score from 1 to 5 and an Upsell Score from 1 to 3, the drivers and brakes behind each, and a natural-language explanation of what is moving the score.

It's built for B2B SaaS products with product usage, where customers send behavioral signals you can score. If your product is largely analytics-dark with no usage data, scoring will lean on billing and CRM signals alone, which works but is less precise.