AI-powered Customer Health Score for SaaS companies

Get early access before we launch on Product Hunt 👐

Why use machine learning?

How is health score calculated?

To calculate the health score, we give each customer's event(which we collect using Intercom) a weight that reflects the impact it has on the likelihood churn, then multiply the weight by the event count, and sum them up. In many existing tools, the weights are determined by gut. 😮

Use data, not your gut!

We love data. We don't have confidence using gut to determine which attributes or events contribute the most for a customer to churn. We find that using machine learning to analyze data gives us the most accurate result. 🤖

Screenshot of application

Integrate with Intercom

Seamless integration with Intercom's customer data as inputs to compute health scores.

AI-Powered weight

Use machine learning to automatically assign weights to get more accurate health scores.


Receive timely notifications for your whole team via Email or Slack on health score changes.

Get early access before we launch on Product Hunt 👐