Licensed content exposure measures the percentage of a channel's videos that YouTube has flagged as containing licensed or copyrighted material through its Content ID system. When a video contains music, clips, or other media that matches a rights holder's reference file, YouTube applies a Content ID
Tag utilization measures the percentage of a channel's videos that use five or more tags. Tags are metadata keywords that creators assign to their videos to help YouTube understand and categorize the content. While YouTube's algorithm has evolved to rely more heavily on titles, descriptions, and
Evergreen ratio measures the share of a channel's total views that come from videos published more than 12 months ago. It distinguishes between channels that depend on a constant stream of new uploads to maintain viewership and those whose older content continues to attract audiences long after publication.
Upload frequency measures the average number of videos a channel publishes per month, calculated over a trailing 12-month period. It captures the operational rhythm of a channel: how consistently the creator produces and releases content. Consistency in uploading is one of the strongest predictors of sustained channel performance. YouTube'
Days since last upload is exactly what it sounds like: the number of calendar days between the channel's most recent video publish date and the date of analysis. It serves as a real-time pulse check on whether a channel is actively producing content or has gone quiet. Unlike
Caption rate measures the percentage of a channel's videos that have captions enabled, whether auto-generated by YouTube or manually uploaded by the creator. Captions may seem like a minor production detail, but they have a meaningful impact on a channel's reach, accessibility, and monetization potential. The
Engagement trend measures the direction and magnitude of change in a channel's engagement metrics over time. Rather than providing a snapshot of current performance, it reveals trajectory: is the channel's audience becoming more engaged, holding steady, or pulling away? This metric answers a question that static
Comment rate measures the percentage of viewers who leave a comment on a video. Among standard YouTube engagement signals, commenting requires the most effort from a viewer: they must stop watching, formulate a thought, type it out, and submit. This makes comment rate one of the purest indicators of genuine
Like rate measures the percentage of viewers who actively like a video after watching it. While views indicate reach, likes indicate resonance. A viewer who clicks the like button has made a deliberate choice to endorse the content, making this metric a reliable signal of audience satisfaction. The calculation is
Sub-to-view ratio measures what percentage of a channel's subscribers actually watch new uploads. It answers a straightforward question: when a creator publishes a video, how much of their audience shows up? The metric is calculated by dividing the average view count across a channel's recent videos
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