01
Create a 360-Degree Customer View
We start by getting all your customer data in one place and enriching it if needed. Our system unifies real-time product usage data, order data, and other health indicators into a single, accurate view for every customer.
02
Predict At-Risk Accounts with Machine Learning
We then use machine learning to analyze this data and predict which customers are likely to leave. The system creates dynamic scoring systems and generates a health score that identifies the subtle warning signs of churn long before a human could.
03
Receive Proactive Churn-Risk Alerts
When an account's health score drops, our system sends an immediate alert to the right CSM via Slack or your CRM. This is an actionable insight that explains *why* the account is at risk, so your team can intervene with a concrete plan to save them.
