Analytics Tools
Operating model, not feature list
The right choice follows how your team is set up to work
Primary users
PMs, growth leads, leadership needing polished analytics
Engineering + product wanting analytics, flags & experiments in one stack
Stack model
Analytics as a dedicated, broadly usable layer
Integrated product OS — fewer handoffs between insight and release
Technical lift
Lower — packaged workflows, less instrumentation ownership
Higher — developer-led setup and ongoing stack ownership
Billing model
Monthly tracked users — cost rises with distinct user count
Event volume — cost rises faster with high-activity users
Account analysis
Explicit Accounts layer — clean B2B account lens for onboarding & health
Stronger when engineering owns a technical account model in the product stack