Generates automated 5-minute WeChat mini games industry reports with revenue-focused rankings, market analysis, user insights, and investment alerts.
自动生成5分钟微信小游戏行业报告,包含收入排名、市场分析、用户洞察和投资预警。
fanxi-ju
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概述
xiaoxiyouxi-5min-report
Description
Automated 5-minute WeChat mini games industry dynamics report generator. Creates concise, insight-driven reports focused on revenue performance with comprehensive market analysis.
Usage Scenarios
Daily/weekly WeChat mini games industry intelligence
Investment opportunity identification in casual gaming
Market trend analysis for game developers and publishers
Competitive intelligence for mobile gaming sector
Report Template Structure
1. Core Data Metrics (Revenue Focus Only)
Selling Chart TOP 5: Revenue performance ranking with game categories
Note: Hot Chart and New Release Chart are excluded from data display but used for insights
2. Business Model Innovation
Monetization strategy analysis
Multi-tag fusion gameplay innovation
Casual game depth trend analysis
3. User Behavior Insights
Category preference stability and changes
Social attribute importance trends
Innovation acceptance patterns
4. Investment Opportunity Alerts
High-potential tracks with specific examples
Risk warnings with actionable recommendations
Workflow
Data Source: Navigate to https://sj.qq.com/wechat-game
Extract Rankings: Parse Hot, Revenue, and New Release leaderboards
Structure Report: Apply standardized template focusing on revenue data + comprehensive insights
Deliver: Create Feishu document with proper formatting and send via direct message
Key Features
Real-time scraping from official Tencent application store
Revenue-focused data presentation with comprehensive market insights
Actionable investment recommendations based on verified data
Automated Feishu delivery with professional formatting
Dependencies
Browser automation capability
Feishu document creation and messaging permissions
Markdown formatting support
Output Standards
Data source attribution with timestamp
Specific game examples for all insights
Clear distinction between data facts and analytical insights
Actionable recommendations with risk assessments
Best Practices
Run during business hours for most accurate real-time data
Always verify data source availability before execution
Maintain consistent formatting for historical comparison
Focus insights on actionable business intelligence