Analytics for
experiments, not everything.
RunPivot analytics answers: how is this test performing, how is this page converting, and how is the program trending over time. For full product analytics (retention cohorts, arbitrary events) keep your product analytics stack; use RunPivot for the test program.
Different job than Mixpanel
We measure tests and funnel goals, not every click in your app.
Control
3.8%
Variant
4.6%
Control vs variant on your goal
Conversion rate, relative lift, and confidence on the goal you set when the test launched, demo booking, purchase, signup, not a generic pageview count.
Program · Q3
+24% cumulative
Velocity and cumulative lift
See how many tests completed this quarter and how winners compound. The view leadership wants before they ask for another headcount.
Pair with Mixpanel or Amplitude for product depth; use RunPivot to act on web conversion.
When to use another tool
In-product behavior, feature adoption, and cross-session retention belong in product analytics. RunPivot does not try to replace that, it feeds test decisions on the web.
Why experiment-native analytics?
Goal-aligned
Metrics match the hypothesis, not a default dashboard.
Program trends
Quarter-over-quarter test velocity and lift.
Honest scope
Clear boundary vs product analytics suites.
BI handoff
Warehouse sync when finance needs the same numbers.
Related capabilities
Measure what tests actually change.