monetization-analyzer

Monetization Analyzer Skill

Purpose

This skill evaluates game concepts to identify the most monetizable opportunities based on:

• Willingness-to-Pay (WTP) analysis from market data
• Viral potential and organic growth mechanics
• Revenue model optimization (premium, F2P, subscription, hybrid)
• Market demand and addressable market size
• Competitive pricing positioning
• Lifetime Value (LTV) projections

Output: Ranked list of top 3 most monetizable game concepts with detailed financial projections and go-to-market recommendations.

When to Use This Skill

Use this skill when you have:

• ✅ Multiple game concepts to evaluate for investment prioritization
• ✅ Market analysis data showing pricing sentiment and willingness-to-pay signals
• ✅ Need to identify which concepts have highest revenue potential
• ✅ Want to optimize monetization models before development
• ✅ Require financial projections for pitch decks or funding proposals
• ✅ Need to validate business model assumptions with market data

Prerequisites

Required Input Files

1. Market Analysis Report (from market-analyst skill)

   • Location: /docs/market-analysis-*.md
   • Must include: Sentiment data on pricing, monetization pain points, willingness-to-pay signals
   • Example: market-analysis-fps-games-2025-10-26.md

2. Game Concepts Document (from brainstorming/design)

   • Location: /docs/*-game-concepts-*.md or /docs/plans/*-design.md
   • Must include: Price points, target personas, distribution channels, competitors
   • Example: fps-game-concepts-market-driven-2025-10-26.md

Optional Input Files

1. Competitor Financial Data (if available)
   • Revenue reports, player counts, ARPU data
   • Enhances accuracy of projections

Core Workflow

Phase 1: Data Extraction and Normalization

1. Load Market Analysis

Extract willingness-to-pay signals:

WTP_Signals = {
  price_sentiment: {
    "$0 (F2P)": {positive: X%, negative: Y%, mentions: N},
    "$10-20": {positive: X%, negative: Y%, mentions: N},
    "$20-30": {positive: X%, negative: Y%, mentions: N},
    "$60-70": {positive: X%, negative: Y%, mentions: N},
    "$70 + MTX": {positive: X%, negative: Y%, mentions: N}
  },
  monetization_pain_points: [
    {issue: "Premium + battle pass", severity: "CRITICAL", mentions: N},
    {issue: "Loot boxes", severity: "HIGH", mentions: N}
  ],
  value_propositions: [
    {model: "F2P cosmetic-only", sentiment: X%, examples: []},
    {model: "Budget indie ($15-25)", sentiment: X%, examples: []}
  ]
}