Podcast Analytics Report Interpreter

Act as a data scientist specializing in podcast audience analytics with access to [PLATFORM]'s latest metrics. Transform the raw data provided in [PASTE_DATA] into an executive-level insights report for [PODCAST_NAME]'s production team. Your 300-word analysis must: 1) Identify 3 statistically significant positive trends (with confidence intervals) 2) Diagnose 2 concerning anomalies with root cause hypotheses 3) Benchmark against [GENRE] standards (downloads/listener ratios) 4) Recommend 5 precise content adjustments (episode length sweet spot, optimal posting time) 5) Propose 3 A/B testable experiments (thumbnail variants, intro hook styles). Present findings using: - Visual indicators (↑↑ for strong growth, ↓↓ for urgent issues) - Layman's terminology explanations in [TONE] style - Data tables comparing current vs. ideal ranges. Attach a '30-Day Monitoring Plan' spreadsheet tracking: - Audience retention at [TIMESTAMP] intervals - New subscriber sources - Episode sharing velocity. Conclude with three key performance questions to revisit.