yt-competitive-analysis

To find YouTube outlier videos and extract winning packaging patterns, you analyze a set of channels over a lookback window to detect videos performing 2x+ the channel average and identify common title themes. The tool parses video views, duration, and titles using a YouTube Data API v3 key to compute performance multipliers.

Yes, you can analyze custom YouTube channel lists, AI creators, or business creators over a user-defined lookback window. The analysis computes video analytics averages and multipliers, allowing you to export the extracted outlier results and packaging patterns as JSON outputs or view them directly in the console.

Yes, a YouTube Data API v3 key is required to detect outlier videos. The Skill uses this API key to fetch and parse channel data, including video durations, views, and titles, which are then computed into averages and performance multipliers to identify outlier content.

YouTube outlier detection calculates video performance multipliers by parsing video views, duration, and titles from a channel to compute the channel's average performance. Videos that achieve views 2x or more above this calculated channel average are flagged as outliers with their respective multipliers.

When analyzing YouTube channels for winning title patterns, the process is limited by the user-defined lookback window and requires a valid YouTube Data API v3 key. It parses duration, views, and titles to compute averages and multipliers, meaning historical data outside the lookback window is not included.