| name | competitive-analysis |
| description | Game industry competitive analysis framework for product managers.
Provides structured methodologies for analyzing competing games, studios, and market positioning.
Use when: (1) mapping the competitive landscape for a game genre or product,
(2) building feature comparison matrices across competing titles,
(3) analyzing positioning, monetization, or UA strategy differences,
(4) conducting win/loss analysis on player acquisition and churn,
(5) identifying market trends, genre shifts, and platform changes,
(6) creating competitive intelligence briefs with web research.
Triggers: "competitive analysis", "competitor research", "็ซๅๅๆ", "็ซไบๅฏนๆ",
"็ซๅ่ฐ็ ", "ๅธๅบๅๆ", "competitor comparison", "market positioning",
"feature matrix", "win loss analysis", "genre analysis", "ๅ็ฑปๅๆ",
"็ซๅๆฅๅ", "ๅธๅบ่ฐ็ ", "ๅฏนๆ ๅๆ"
|
Competitive Analysis - Game Industry Framework
A structured competitive analysis system designed for game product managers (ๆธธๆไบงๅ่ด่ดฃไบบ). Provides frameworks for landscape mapping, feature comparison, positioning analysis, win/loss methodology, and market trend identification โ all adapted for the game industry context.
Table of Contents
- Competitive Landscape Mapping
- Feature Comparison Matrix
- Positioning Analysis
- Win/Loss Analysis
- Market Trend Identification
- /competitive-brief Command Workflow
- Web Research Guide
- Templates & Quick Reference
- LiveOps Comparison Framework
- Ad Creative Teardown Template
- Retention vs Monetization Trade-off
- Data Source Guide
- China Market Analysis
- Competitor Response Modeling
1. Competitive Landscape Mapping (็ซไบๆ ผๅฑ)
Map the full competitive environment by categorizing competitors into four tiers. This prevents tunnel vision on direct competitors while revealing threats from adjacent categories.
Competitor Categories
| Category | Definition | Game Industry Examples |
|---|
| Direct Competitors (็ดๆฅ็ซๅ) | Same genre, same target audience, same platform | Two open-world RPGs on mobile targeting mid-core players |
| Indirect Competitors (้ดๆฅ็ซๅ) | Different genre, competes for same player time/spend | A gacha RPG vs a gacha card game โ different gameplay, same spending audience |
| Adjacent Competitors (็ธ้ป็ซๅ) | Same platform, different genre, shares some mechanics | Battle royale vs extraction shooter โ both competitive multiplayer |
| Substitute Competitors (ๆฟไปฃ็ซๅ) | Different platform, same genre, targets similar audience | Mobile RPG vs PC MMORPG targeting fantasy RPG fans |
Mapping Framework
[Your Game] โ Center
โโโ Direct: Same genre + same platform + same audience
โโโ Indirect: Different genre + same spend/time
โโโ Adjacent: Same platform + overlapping mechanics
โโโ Substitute: Same genre + different platform
Analysis Questions
-
Direct Competition Analysis
- What are their core mechanics and unique selling propositions?
- How do their monetization and live ops compare?
- What is their market share and growth trajectory?
-
Indirect Competition Analysis
- What player needs do they satisfy that overlaps with yours?
- How do their engagement patterns compare?
- What can you learn from their retention strategies?
-
Adjacent Competition Analysis
- What mechanics can you borrow or improve upon?
- How do they handle similar systems (e.g., progression, social)?
- What are their technical and design innovations?
-
Substitute Competition Analysis
- Why do players choose their platform over yours?
- What platform-specific advantages do they leverage?
- How can you differentiate your platform experience?
2. Feature Comparison Matrix (็ซๅ็นๅพ็ฉ้ต)
Create comprehensive feature matrices to systematically compare competing games across multiple dimensions.
Matrix Structure
| Feature Category | Your Game | Competitor A | Competitor B | Competitor C | Market Standard |
|---|
| Core Gameplay | | | | | |
| Combat System | โ | โ | โ | โ | โ |
| Progression | โ | โ | โ | โ | โ |
| Monetization | | | | | |
| Gacha | โ | โ | โ | โ | โ |
| Battle Pass | โ | โ | โ | โ | โ |
| Live Ops | | | | | |
| Daily Events | โ | โ | โ | โ | โ |
| Seasonal Events | โ | โ | โ | โ | โ |
Feature Analysis Framework
1. Feature Presence Analysis
- Must-Have Features: Features present in >75% of successful competitors
- Differentiating Features: Unique features that set you apart
- Missing Features: Important features you lack but competitors have
- Innovative Features: Features not present in any competitor
2. Feature Quality Assessment
- Implementation Quality: How well is the feature executed?
- Player Reception: How do players rate this feature?
- Revenue Impact: How does this feature drive monetization?
- Retention Impact: How does this feature affect player retention?
3. Feature Opportunity Scoring
Opportunity Score = (Market Gap ร Player Demand ร Implementation Feasibility)
- Market Gap: How many competitors lack this feature?
- Player Demand: How much do players want this feature?
- Implementation Feasibility: How difficult is it to implement?
3. Positioning Analysis (ๅธๅบๅฎไฝๅๆ)
Analyze how competitors position themselves in the market and identify positioning opportunities.
Positioning Dimensions
1. Price/Quality Matrix
High Quality โโโโโโโโโโโโโโโโ
โ Premium โ
โ Positioning โ
Low Quality โโโโโโโโโโโโโโโโค
โ Budget โ
โ Positioning โ
โโโโโโโโโโโโโโโโ
Low Price High Price
2. Target Audience Positioning
- Casual: Low commitment, broad appeal
- Mid-Core: Moderate commitment, genre enthusiasts
- Hardcore: High commitment, dedicated players
- Niche: Specialized interests, specific communities
3. Platform Positioning
- Mobile First: Optimized for mobile experience
- Cross-Platform: Unified experience across platforms
- PC/Console Focused: High-end gaming experience
Positioning Analysis Framework
1. Competitor Positioning Map
[Visual Map]
Y-Axis: Price Point (Low to High)
X-Axis: Complexity (Simple to Complex)
Plot each competitor and identify gaps
2. Messaging Analysis
- Value Proposition: What is their core promise to players?
- Brand Voice: How do they communicate with players?
- Marketing Channels: Where do they acquire players?
- Community Engagement: How do they build player communities?
3. Success Factor Analysis
- Key Success Factors: What makes them successful?
- Differentiation Strategy: How do they stand out?
- Market Niche: What specific segment do they target?
- Growth Strategy: How are they expanding their market?
4. Win/Loss Analysis (็ซไบๅพๅคฑๅๆ)
Systematically analyze why players choose your game over competitors (wins) and vice versa (losses).
Win/Loss Data Collection
1. Player Acquisition Sources
- Marketing Channels: Where do players come from?
- Conversion Rates: How effective is each channel?
- Cost Per Acquisition (CPA): What does each player cost?
- Player Lifetime Value (LTV): What is each player worth?
2. Churn Analysis
- Churn Reasons: Why do players leave?
- Churn Timing: When do players churn?
- Competitor Migration: Where do churned players go?
- Win-Back Strategies: How can you win back players?
Win/Loss Framework
1. Win Analysis
Win Factors:
โโโ Product Superiority
โ โโโ Better Features
โ โโโ Better Performance
โ โโโ Better UX/UI
โโโ Market Positioning
โ โโโ Better Pricing
โ โโโ Better Targeting
โ โโโ Better Messaging
โโโ Operational Excellence
โโโ Better Marketing
โโโ Better Support
โโโ Better Community
2. Loss Analysis
Loss Factors:
โโโ Product Deficiencies
โ โโโ Missing Features
โ โโโ Performance Issues
โ โโโ UX/UI Problems
โโโ Market Misalignment
โ โโโ Wrong Pricing
โ โโโ Wrong Targeting
โ โโโ Poor Messaging
โโโ Operational Issues
โโโ Weak Marketing
โโโ Poor Support
โโโ Toxic Community
3. Competitive Response Analysis
- Feature Gap Analysis: What features are you missing?
- Pacing Analysis: How does your content release pace compare?
- Quality Analysis: How does your game quality compare?
- Innovation Analysis: How innovative is your game compared to competitors?
5. Market Trend Identification (ๅธๅบ่ถๅฟ่ฏๅซ)
Identify and analyze market trends that could impact your competitive position.
Trend Categories
1. Genre Trends
- Rising Genres: Genres gaining popularity
- Declining Genres: Genres losing market share
- Genre Evolution: How genres are changing over time
- Cross-Genre Innovation: New genre combinations
2. Platform Trends
- Platform Shifts: Movement between platforms
- Technology Adoption: New technology adoption rates
- Platform Evolution: How platforms are evolving
- Cross-Platform Trends: Multi-platform game trends
3. Monetization Trends
- Revenue Models: Shift in monetization strategies
- Player Spending: Changes in player spending patterns
- Ad Integration: Mobile advertising trends
- Subscription Models: Subscription service trends
4. Player Behavior Trends
- Engagement Patterns: How player engagement is changing
- Session Length: Changes in player session duration
- Social Features: Social gaming trend evolution
- Content Consumption: How players consume content
Trend Analysis Framework
1. Trend Identification
- Data Sources: Where do you get trend data?
- Time Horizons: Short-term vs long-term trends
- Geographic Scope: Global vs regional trends
- Platform Scope: Cross-platform vs platform-specific
2. Trend Validation
- Multiple Sources: Cross-reference trend data
- Expert Opinions: Industry expert perspectives
- Player Feedback: Direct player input
- Market Data: Quantitative market analysis
3. Trend Impact Assessment
- Direct Impact: How trends directly affect your game
- Indirect Impact: How trends indirectly affect your game
- Opportunity Analysis: What opportunities do trends create?
- Risk Assessment: What risks do trends present?
6. /competitive-brief Command Workflow
Generate comprehensive competitive intelligence briefs using structured web research.
Command Structure
/competitive-brief [competitor_name] [analysis_type] [time_period]
Analysis Types
- landscape: Competitive landscape overview
- features: Detailed feature comparison
- positioning: Market positioning analysis
- trends: Market trend analysis
- financial: Financial performance analysis
Workflow Steps
1. Research Planning
- Define research objectives
- Identify key research questions
- Determine data sources
- Set time boundaries
2. Data Collection
- Web search for competitor information
- App store analysis and reviews
- Social media sentiment analysis
- Industry reports and news
3. Analysis Synthesis
- Organize collected data
- Identify key insights
- Draw conclusions
- Formulate recommendations
4. Brief Generation
- Executive summary
- Detailed analysis
- Recommendations
- Action items
7. Web Research Guide (ๆ
ๆฅๆถ้)
Systematic approach to gathering competitive intelligence through web research.
Research Sources
1. Primary Sources
- Company Websites: Official information and announcements
- App Stores: Download numbers, reviews, rankings
- Social Media: Official accounts and community sentiment
- Press Releases: Company announcements and milestones
2. Secondary Sources
- Industry Reports: Market research and analysis
- News Articles: Media coverage and industry analysis
- Review Sites: Player reviews and ratings
- Forums/Communities: Player discussions and feedback
3. Tertiary Sources
- Financial Reports: Public company financial data
- Job Postings: Company growth and strategy indicators
- Patent Filings: Technology development and innovation
- Conference Presentations: Industry insights and trends
Research Methodology
1. Search Strategy
- Keyword Planning: Systematic keyword approach
- Boolean Operators: Advanced search techniques
- Source Evaluation: Assess source credibility
- Information Validation: Cross-reference information
2. Data Collection
- Structured Collection: Organized data gathering
- Quality Control: Data validation and verification
- Documentation: Source tracking and citation
- Update Schedule: Regular data refresh
3. Analysis Framework
- SWOT Analysis: Strengths, Weaknesses, Opportunities, Threats
- PEST Analysis: Political, Economic, Social, Technological factors
- Competitive Matrix: Structured comparison framework
- Trend Analysis: Pattern identification and extrapolation
8. Templates & Quick Reference
Competitive Analysis Template
Executive Summary
- Market Overview: Key market insights
- Competitive Position: Your current position
- Key Findings: Most important discoveries
- Recommendations: Actionable recommendations
Competitor Profiles
- Company Overview: Basic company information
- Game Analysis: Detailed game analysis
- Market Position: Current market standing
- Strategic Moves: Recent strategic actions
Feature Comparison
- Core Features: Essential game features
- Unique Features: Differentiating features
- Missing Features: Opportunities for improvement
- Quality Assessment: Feature quality comparison
Market Analysis
- Market Size: Total addressable market
- Growth Rate: Market growth projections
- Trend Analysis: Key market trends
- Opportunity Assessment: Market opportunities
Quick Reference Checklist
Landscape Mapping
Feature Analysis
Positioning Analysis
Win/Loss Analysis
9. LiveOps Comparison Framework (่ฟ่ฅๅฏนๆฏ)
Analyze competitor LiveOps strategies and identify best practices.
LiveOps Categories
1. Event Systems
- Daily Events: Regular daily activities
- Weekly Events: Themed weekly content
- Seasonal Events: Holiday and seasonal celebrations
- Limited Events: Special time-limited content
2. Content Updates
- Update Frequency: How often new content is released
- Content Types: Types of content updates
- Update Quality: Quality of new content
- Player Engagement: How updates engage players
3. Community Management
- Communication: How they communicate with players
- Feedback Integration: How they incorporate player feedback
- Community Events: Community-focused activities
- Support Quality: Player support quality
LiveOps Analysis Framework
1. Event Analysis
Event Effectiveness Metrics:
โโโ Participation Rate
โโโ Engagement Duration
โโโ Revenue Impact
โโโ Retention Impact
โโโ Social Sharing
2. Content Update Analysis
Content Quality Metrics:
โโโ Bug Frequency
โโโ Player Satisfaction
โโโ Feature Completeness
โโโ Performance Impact
โโโ Innovation Level
3. Community Health Analysis
Community Metrics:
โโโ Active User Rate
โโโ Sentiment Score
โโโ Support Response Time
โโโ Feedback Implementation
โโโ Social Engagement
10. Ad Creative Teardown Template (็ด ๆๆ่งฃ)
Systematic analysis of competitor advertising creative strategies.
Creative Analysis Framework
1. Visual Elements
- Art Style: Consistency and appeal
- Character Design: Character appeal and relevance
- Environment Design: Background and setting quality
- Animation Quality: Motion and fluidity
2. Messaging Strategy
- Value Proposition: Core message clarity
- Call-to-Action: Effectiveness of CTAs
- Emotional Appeal: Emotional connection with audience
- Brand Consistency: Alignment with brand identity
3. Performance Metrics
- Click-Through Rate: Ad effectiveness
- Conversion Rate: Ad to install conversion
- Cost Per Install: Acquisition efficiency
- Return on Ad Spend: Revenue efficiency
Creative Analysis Template
Ad Creative Breakdown
Creative Elements:
โโโ Visual Analysis
โ โโโ Art Style Assessment
โ โโโ Character Appeal
โ โโโ Environment Quality
โ โโโ Animation Review
โโโ Message Analysis
โ โโโ Value Proposition
โ โโโ Call-to-Action
โ โโโ Emotional Appeal
โ โโโ Brand Consistency
โโโ Performance Analysis
โโโ CTR Analysis
โโโ Conversion Analysis
โโโ CPA Analysis
โโโ ROAS Analysis
11. Retention vs Monetization Trade-off (็ๅญ-ๅ็ฐๆ่กก)
Analyze how competitors balance player retention with monetization strategies.
Balance Framework
1. Retention Strategies
- Core Loop: Engaging core gameplay
- Progression Systems: Meaningful advancement
- Social Features: Community engagement
- Content Updates: Fresh content delivery
2. Monetization Strategies
- Direct Purchases: One-time transactions
- Subscription Models: Recurring revenue
- Advertising: Ad-based revenue
- Gacha Systems: Randomized rewards
3. Balance Analysis
Retention vs Monetization Matrix:
High Retention/High Monetization: Ideal state
High Retention/Low Monetization: Monetization opportunity
Low Retention/High Monetization: Unsustainable
Low Retention/Low Monetization: Major issues
Balance Metrics
1. Retention Metrics
- Day 1 Retention: Initial engagement
- Day 7 Retention: Early retention
- Day 30 Retention: Long-term retention
- Churn Rate: Player loss rate
2. Monetization Metrics
- ARPU: Average revenue per user
- ARPPU: Average revenue per paying user
- Conversion Rate: Free-to-paid conversion
- LTV: Lifetime value
3. Balance Indicators
- Paywall Density: Frequency of monetization prompts
- Value Perception: Player perception of value
- Satisfaction Score: Overall player satisfaction
- Revenue Stability: Revenue consistency
12. Data Source Guide (ๆฐๆฎๆบๆๅ)
Comprehensive guide to competitive intelligence data sources.
Primary Data Sources
1. Market Intelligence Platforms
- Sensor Tower: Mobile app market data
- App Annie: App performance and analytics
- Newzoo: Global games market data
- Statista: Industry statistics and reports
2. Financial Data Sources
- SEC Filings: Public company financial data
- Annual Reports: Company performance reports
- Investor Presentations: Strategic insights
- Earnings Calls: Executive commentary
3. Industry Reports
- Newzoo Global Games Market Report: Market overview
- Statista Gaming Reports: Industry statistics
- IDC Gaming Reports: Technology trends
- Gartner Reports: Technology analysis
Secondary Data Sources
1. App Store Data
- Google Play Store: Android app data
- Apple App Store: iOS app data
- Steam: PC gaming data
- Console Stores: Console gaming data
2. Social Media Analytics
- Twitter Metrics: Social engagement data
- Facebook Insights: Community data
- Reddit Analysis: Community discussions
- Discord Analytics: Community engagement
3. Web Analytics
- SimilarWeb: Website traffic data
- Alexa Rankings: Website popularity
- Google Trends: Search interest data
- Social Mention: Brand mentions
Data Quality Assessment
1. Source Credibility
- Authority: Source reputation and expertise
- Accuracy: Historical accuracy of data
- Timeliness: Data recency and relevance
- Objectivity: Source bias and perspective
2. Data Validation
- Cross-Reference: Multiple source confirmation
- Expert Review: Industry expert validation
- Historical Comparison: Trend consistency
- Logical Consistency: Data reasonableness
13. China Market Analysis (ไธญๅฝๅธๅบๅๆ)
Specialized analysis framework for the Chinese gaming market.
Market Characteristics
1. Platform Distribution
- Mobile: Dominant platform with 70%+ market share
- PC: Strong presence in esports and MMO
- Console: Growing but regulated market
- Web: Declining but still relevant
2. Player Behavior
- Session Length: Longer sessions than global average
- Spending Patterns: Higher average spending
- Social Features: Strong community engagement
- Content Preferences: Cultural content preferences
3. Regulatory Environment
- Approval Process: Game approval requirements
- Content Restrictions: Content limitations
- Monetization Rules: Monetization regulations
- Data Privacy: Data protection requirements
China-Specific Analysis
1. Local Competitors
- Tencent: Market leader with diverse portfolio
- NetEase: Strong in PC and mobile gaming
- miHoYo: Rising star with global hits
- Perfect World: Established player with strong IP
2. Market Trends
- Esports Integration: Growing esports market
- Cross-Platform Play: Increasing cross-platform support
- Cultural Content: Emphasis on cultural elements
- Technology Innovation: Advanced technology adoption
3. Entry Strategies
- Partnership: Local partnership requirements
- Localization: Cultural adaptation needs
- Regulatory Compliance: Approval process navigation
- Marketing: Local marketing strategies
14. Competitor Response Modeling (็ซไบๅบๅฏนๅปบๆจก)
Model how competitors might respond to your strategic moves.
Response Categories
1. Direct Responses
- Feature Matching: Copying your features
- Price Competition: Undercutting your pricing
- Marketing Counter: Competing marketing campaigns
- Legal Action: IP or legal challenges
2. Indirect Responses
- Market Positioning: Adjusting their positioning
- Product Diversification: Expanding their portfolio
- Partnership Formation: Strategic partnerships
- Technology Investment: R&D investments
3. No Response
- Strategic Ignoring: Choosing not to respond
- Resource Constraints: Unable to respond effectively
- Market Focus: Focusing on different segments
- Timing Delays: Delayed response planning
Response Modeling Framework
1. Scenario Planning
Competitor Response Scenarios:
โโโ Aggressive Response
โ โโโ Rapid Feature Matching
โ โโโ Price War
โ โโโ Marketing Blitz
โโโ Strategic Response
โ โโโ Selective Feature Adoption
โ โโโ Positioning Adjustment
โ โโโ Partnership Formation
โโโ Limited Response
โ โโโ Minor Feature Updates
โ โโโ Marketing Adjustments
โ โโโ Community Engagement
โโโ No Response
โโโ Status Quo Maintenance
โโโ Focus on Other Areas
โโโ Resource Constraints
2. Response Probability
- Market Share Impact: How your move affects their market share
- Resource Availability: Their ability to respond
- Strategic Priority: How important this is to them
- Historical Patterns: Past response behaviors
3. Response Preparation
- Counter-Strategies: Plans for competitor responses
- Contingency Planning: Alternative strategies
- Resource Allocation: Resource allocation flexibility
- Timing Strategies: Strategic timing considerations
Usage Instructions
Basic Usage
@competitive-analysis
Displays available analysis frameworks and templates.
Specific Analysis
@competitive-analysis landscape
@competitive-analysis features
@competitive-analysis positioning
@competitive-analysis trends
Competitor-Specific Analysis
@competitive-analysis competitor_name analysis_type
Command-Based Briefing
/competitive-brief [competitor] [analysis_type] [time_period]
Competitive Analysis Framework
Version: 1.0.0
Last updated: 2026-03-10
Integration: Claude Code Game Studios
