TopN AnalyticsIndustry
SaaS
Product usage, billing, and CRM data unified into the metrics that actually explain growth.
Pain Points
What usually goes wrong
- Product usage data lives in the app's own database, disconnected from billing and CRM.
- Churn and expansion signals are visible too late to act on.
- Every team has a different definition of "active user."
Common Data Sources
Where the data usually lives
Product/event analyticsBilling and subscription platformCRMSupport ticketing system
Recommended Architecture
A starting pattern for this industry
Adapted to your specific systems and scale.
- 1Event pipeline
- 2Customer data model
- 3Product + revenue dashboard