Interactive KPI Tree &
Leverage Calculator.
Decompose monthly profitability into sub-metrics. Simulate optimizations across retention, engagement, conversions, and acquisition to identify the highest leverage points.
Use this when a team is debating which metric to prioritize next quarter and needs a math-based answer rather than a gut call. It is meant for product and growth leads who want to see, lever by lever, which input moves profit the most before committing engineering time.
Funnel Inputs
Financial Drivers outcomes
| Monetization Lever (Input) | Profit Change | Leverage Priority |
|---|
The logic of driver leverage.
Product priority conflicts are mathematically solvable. By tracing levers through the KPI tree, we isolate the metrics that command the highest bottom-line leverage.
Month 1 carryover
Retention carryover is the ultimate funnel multiplier. Elevating MoM retention from 20% to 30% increases active user steady-state by 14% without requiring a single dollar of additional user acquisition spend.
IAP Conversion Threshold
Purchasing intent is highly sensitive to price structures. Moving IAP conversions by 0.5% (e.g. from 1.5% to 2.0%) delivers a 33% revenue surge on all in-app store transactions.
Ad Density Limits
Ad frequency creates a direct tradeoff with user active lifespan. Adding too many interstitials increases short-term ARPU but accelerates churn, reducing long-term active MAU volumes.
UA Arbitrage Spreads
The UA budget is a capital float system. CPA limits determine your scaling speed. High organic K-factors reduce your blended eCAC, creating margin arbitrage loops.
Build a decision-grade KPI framework.
Product teams regularly waste millions of dollars of engineering capacity prioritizing features that offer low commercial leverage. We structure clean, math-validated KPI frameworks, map cohort economic trees, and align analytics priorities with capital-reinvestment loops.