Analytics and metrics that matter for experimentation programs. From funnel attribution to revenue-per-experiment measurement, these frameworks help you prove program value to the C-suite.
7 articles
Stakeholder pressure in business strategy doesn't break your metric tree because people are unreasonable. It breaks because the tree isn't tied to a decision anyone is willing to defend. I've been in the room when revenue misses, the board wants answers, and every exec grabs the nearest metric to justify their plan.
Measuring product market fit requires more than tracking vanity metrics. It's about moving past gut feelings and using data to prove you've built a must-have solution for a specific market.
Calculating customer lifetime value (CLV) multiplies a customer's average purchase value by their purchase frequency, then by their average customer lifespan.
A practical framework for designing three-level metric trees tied to real decisions, financial outcomes, and guardrails that withstand stakeholder pressure.
How to define a smallest effect worth shipping (SEWS) using financial impact, a tight measurement window, and disciplined experiment design.
Why revenue per session beats conversion rate for experiment prioritization, and how to size bets before you run a test.
What holdout tests actually prove about incremental revenue, when to use them, and how to defend results under stakeholder pressure.