YouTube Metrics
Turn views into insights with YouTube video metrics. Learn how to track Watch Time, Subscriber Growth, and Audience Retention with clear KPIs designed for creators and brands alike.
Subscribers
Subscribers counts the number of paid or non-paid users with active, periodic access to a product or service. The metric applies to subscription-based business models including SaaS, media, telecommunications, and entertainment, and captures total access holders at a point in time regardless of payment status.
Subscribers Gained
The Subscribers Gained metric measures the number of new subscribers added to a YouTube channel and helps track your channel's growth over time.
Video Comments
A video comment is a primarily text-based form of engagement on a social media platform where users respond to videos via the comment feature on videos. The number of comments on a video is one indication of the level of engagement users have with that video.
Video Dislikes
The Video Dislikes metric shows how many unique user accounts reacted by clicking on the "Dislike" button on a YouTube video. The total number of Dislikes on your video can be an indicator of the audience's attitude towards the video.
Video Likes
Video Likes is a count of the likes a video has received on a social media platform, used to measure audience appreciation and engagement. Marketers track this metric to evaluate content quality, compare video performance across campaigns, and understand which formats drive the strongest audience response.
Video Views
Video Views is a count of the number of times a video is watched or started. Because each platform defines a "view" differently, raw counts are only meaningful in context.
Video Watch Time
Video Watch Time is the total time viewers have spent watching a video or a collection of videos, measured in seconds, minutes, or hours. This metric helps you understand whether your content is holding attention or losing viewers early. High watch time signals that people find the content valuable enough to keep watching, and platforms like YouTube use it as a core ranking signal that directly affects content distribution.