diagnose-monetization

What problem does it solve?

Diagnose revenue leaks, analyze willingness-to-pay signals, evaluate packaging and pricing, and identify opportunities to capture more value. Use when a PM needs to improve conversion to paid, optimize pricing, reduce revenue churn, or find upsell and expansion opportunities.

Core Features & Use Cases

• Map revenue architecture, size each component (Revenue = Users x Conversion Rate x ARPU x (1 - Revenue Churn) + Expansion Revenue), identify pricing tiers, determine value metric, and compute LTV:CAC by segment.
• Diagnose the Free-to-Paid funnel: map steps, time-to-conversion, triggers, and segment performance to prioritize fixes.
• Evaluate packaging and pricing alignment with value metrics and customer segments; identify under-gating, over-gating, and misalignment opportunities.
• Analyze expansion and contraction: decompose NRR, identify expansion triggers, and surface expansion-ready cohorts.
• Produce a prioritized monetization opportunity matrix with risk-adjusted revenue impact and actionable next steps.
• Anti-plays: avoid price hikes without data, gate critical features, or neglect retention when monetization changes.
• Open questions: data needed to validate pricing sensitivity and segmentation hypotheses.
• Guidance for experimentation: pair with craft-experiment-design before shipping pricing changes.

Quick Start

Run a monetization diagnosis across your product’s pricing, packaging, and usage data to surface the top revenue leaks and improvement opportunities.