Atlas
AI-powered event discovery for churn-ready product analytics.
Atlas helps SaaS teams understand what product behaviors they should track before churn prediction, retention analytics, and product intelligence become useful.
Why Atlas exists
Most small SaaS teams do not have the time or dedicated analytics infrastructure to manually define every product event, map those actions to churn and retention signals, and build the instrumentation plan from scratch. Atlas is designed to automate that first layer.
How Atlas Works
A step-by-step walkthrough of how Atlas turns a SaaS product surface into a churn-ready event taxonomy.
Later releases build on Atlas by using approved event logs for rule-based churn scoring and machine learning prediction.
What Atlas produces
Structured event definitions for product behaviors.
Maps actions to activation, engagement, retention, and churn-intent signals.
A practical implementation guide for what to instrument.
A clean structure for storing events and signal logic.
Implementation guidance for both human developers and AI coding agents.
Map what matters before you model churn
Atlas is the first layer of ReInvent Signals — turning product surfaces into usable behavioral intelligence.