YouTube algorithm is the tool YouTube designed for helping and guiding the YouTube audience in finding the videos they want to watch and helping them in having a satisfactory viewer experience.
Simply the YouTube algorithm helps the user in getting the best user experience on YouTube. It helps the viewer in getting the best video content that can satisfy their requirements. YouTube algorithms work on the basis of particular signals. Today we will discuss the 5 major signals used by the YouTube algorithm to evaluate videos.
YouTube algorithm uses various kinds of signals to evaluate the videos that can satisfy the user experience. Today I will tell you about 5 major signals use by the YouTube algorithm to evaluate the videos:
- WATCH TIME
Watch time is one of the major signals used by the YouTube algorithms to evaluate a YouTube video’s performance. The total amount of time a video is able to get viewed on YouTube is called watch time. YouTube algorithm evaluates the watch time of YouTube video so that the viewer gets only the video that has a high watch time and this helps in getting more audience engagement at that high watch time video.
Watch time of a YouTube video is a very crucial element for measuring its overall performance and it also has a direct impact on the channel’s popularity.
- RESPONSE OF SURVEYS
The responses to surveys conducted for evaluating the feedback of users or viewers are also a major signal used by the YouTube algorithms to evaluate a YouTube video’s performance. The admins of the channel conducted a survey at the end of the YouTube video in which they ask the viewers to rate their video’s experience on a scale of 5 to 1.
This rating is used by the YouTube algorithms to evaluate the actual performance of the videos on YouTube and hence, they let the viewer view the video which has high ratings on the survey response. Hence, survey response is one of the major signals which help the YouTube algorithm judge the capability of the videos.
- CLICK ON VIDEOS
Clicks on YouTube videos are one of the major signals used by the YouTube algorithms to evaluate a YouTube video’s performance. CTR on YouTube videos is one of the crucial signals that help the YouTube algorithm to get the videos that have high CTR and will satisfy the audience. CTR of a video helps in analyzing the traffic rate of that video and it also influences the overall traffic generation capability of a YouTube channel. Therefore, the YouTube algorithm analyzes the clicks on videos to measure the capability of that video. YouTube video’s CTR tells how many times it gets clicked in a particular amount of time. A video that has a high number of clicks is selected by the YouTube algorithm to suggest to the audience.
- RETURNING VISITORS
There are some viewers who watch a particular video or channel on a daily basis, these viewers are called returning visitors. The number of returning visitors tells the high quality and reliability of that video and hence YouTube algorithms select those videos that have a high number of returning visitors and suggest them to the new audience which ultimately helps in increasing the audience engagement rate of that YouTube channel. Hence, the number of returning visitors to YouTube videos is one of the major signals that is being used by the YouTube algorithms to evaluate the videos.
- NUMBER OF SHARES LIKES AND DISLIKES
The number of shares, likes and dislikes are also a major signal used by the YouTube algorithms to evaluate a YouTube video’s performance. YouTube videos are judged on the basis of likes and dislikes. The higher the number of likes, the higher the popularity of that YouTube channel and vice versa. And the number of times the video gets shared also helps the YouTube algorithm to judge the reliability of the video. Hence, the number of likes, dislikes and shares of the YouTube videos helps in analyzing the overall popularity of the YouTube videos. Therefore, they are the major signals used by the YouTube algorithm to evaluate a YouTube video’s performance.
YouTube algorithms help in improving the user experience rate of your YouTube channel. The signals used by the YouTube algorithms have high value in the performance measurement of the YouTube videos.