yt-competitive-analysis

To find YouTube outlier videos, you can use the YouTube Data API v3 to fetch recent uploads, compute per-channel averages, and flag videos that perform at 2x or higher than the channel average. This process separates long-form videos and Shorts to accurately identify significant performance deviations.

You extract title patterns from viral YouTube videos by isolating outlier videos that significantly exceed channel averages, then running a frequency analysis on their titles. This generates actionable packaging inspiration by identifying common words and phrasing structures used in high-performing uploads.

Yes, you need a YouTube Data API v3 key to detect channel outliers. The API key is required to programmatically fetch recent uploads and compute the per-channel performance multipliers needed to flag videos that achieve 2x or better performance.

Yes, you can analyze both YouTube Shorts and long-form videos for competitive analysis. The detection process computes performance averages and multipliers separately for Shorts and long-form content to ensure outliers are flagged accurately based on their specific format benchmarks.

You export YouTube outlier data for reporting by outputting the computed results as structured JSON and console summaries. This format provides the title pattern frequency analysis and performance multipliers needed to support downstream spreadsheet workflows and follow-up analysis.