Social Media Metrics – Page 3

The Subscribers Gained metric measures the number of new subscribers added to a YouTube channel and helps track your channel's growth over time.

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.

A Video Completion refers to the number of times a video plays to the end.

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 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 Starts is the count of how many times a video begins playing, recorded the moment playback initiates. It measures reach and initial audience interest, and is used as a base figure in rate metrics such as Average View Rate and Average View Time.

Video View Through Rate is the ratio of video views to video impressions, expressed as a percentage. It measures how often people choose to watch a video after seeing it. Because the definition of a "video view" varies by platform, VTR baselines and benchmarks should always be compared within a single platform, not across platforms.

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 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.