Analyzes podcast performance data across multiple platforms to provide growth insights and audience metrics.
The Podcast Analytics Expert skill equips Claude with specialized knowledge for aggregating and interpreting podcast data from diverse sources including Transistor, Spotify for Podcasters, Apple Podcasts, and the Open Podcast Prefix Project (OP3). It enables users to track critical KPIs such as unique listeners, completion rates, and geographic demographics while providing technical implementation patterns for custom Python-based analytics dashboards. This skill is ideal for creators and developers looking to optimize episode structure, release timing, and content strategy through rigorous data-driven analysis and industry benchmarks.
Key Features
01Multi-platform data aggregation for Spotify, Apple, and YouTube
02Technical API implementation for Transistor and OP3
03Retention and engagement benchmark analysis
04Python-based dashboard and reporting patterns
05Actionable content optimization strategies
067 GitHub stars
Use Cases
01Calculating cross-platform listener retention and identifying drop-off points
02Automating download reports using Transistor and OP3 API integrations
03Determining optimal episode length based on historical completion rate data
