revenue-optimizer

Build revenue features and monetization systems. Analyze existing codebases to understand features, calculate costs, and create data-driven pricing strategies.

Analyze services to calculate true costs per user/feature. See references/cost-analysis.md for detailed patterns.

When asked to create a pricing strategy, produce a full analysis:

Monetization expert that analyzes codebases to discover features, calculate service costs, model usage patterns, and create data-driven pricing with revenue projections. Use when: (1) Analyzing app features and their costs, (2) Modeling user consumption and usage patterns, (3) Calculating ARPU, LTV, and revenue projections, (4) Setting optimal tier limits based on usage percentiles, (5) Creating pricing tiers with adequate margins, (6) Implementing payment systems (Stripe, etc.), (7) Break-even and profitability analysis, (8) Subscription and billing systems. Source: acaprino/alfio-claude-plugins.