Views from impressions: How often viewers watched your videos after seeing them on YouTube.Impressions click-through rate (CTR): How often users watched a video after seeing your thumbnails (based on logged-in impressions).Traffic sources for impressions: Where on YouTube your video thumbnails were shown to potential viewers.Impressions: How many times your video thumbnails were shown to viewers as a recommended video, on the homepage, or in search results.Under the Reach Viewers tab, you can see the following metrics, which together illustrate YouTube’s new emphasis on click-through rate and watch time: You can even see these priorities reflected in YouTube Studio by checking out your YouTube analytics dashboard. You can’t generate a lot of watch time for YouTube without getting clicks first, after all. Click-through rate is still as important as ever. YouTube is only penalizing bait-and-switch tactics-overpromising before the click and delivering disappointing content after it. Some might interpret this to mean that optimizing for click-throughs will get you penalized by YouTube, but that’s a huge misunderstanding. Ranking by click-through rate often promotes deceptive videos that the user does not complete (‘clickbait’) whereas watch time better captures engagement.” These Google engineers even state that their final ranking objective is “generally a simple function of expected watch time per impression. The rest depend on factors outside of your channel in order to personalize the recommendation.
The first three signals are the only ones you can influence directly. The user’s demographic information and location.What the user has searched for in the past.How recently the user watched a video about the same topic.How many videos the user has watched from your channel.Watch time (the combined amount of time viewers spend watching your videos).Click-through rate (the likelihood of someone clicking on your video after seeing it).This research paper, published by Google engineers Paul Covington, Jay Adams, and Emre Sargin, breaks down additional signals YouTube uses to rank videos for recommendations: It looks at likes, dislikes, and shares on a video.It pays attention to when users are clicking the “Not interested” option on videos.It sends out millions of surveys each month-though users likely see just two to three-asking for feedback on a specific video.This is done by actually surveying users as they watch content, to see how they’re really feeling about it, helping the algorithm recommend the most satisfactory content.īut how does YouTube determine satisfaction? Since 2015, YouTube has optimized for viewer satisfaction. And it stayed that way for about three years, until YouTube identified an even better option. Video recommendations were shown based on how much time people spent watching certain videos or channels. Then, in 2012, it moved more to watch time. However, this led to clickbait-y headlines that didn’t always leave the viewer satisfied with the actual video content. When YouTube first started working on its algorithm, it was initially based on what videos people were clicking through. YouTube’s entire goal is to increase customer retention and keep its users watching videos for as long as they can. YouTube’s algorithm is all about helping its users find the most relevant content as easily as possible. How does the YouTube algorithm work in 2022 If you want to get more video views in the long term, you need to understand a few things about how the YouTube algorithm works in 2022. While these contribute to the discovery of your videos, alone they don’t unlock the lion’s share of views you stand to gain from YouTube’s recommendation engine (via YouTube’s homepage and “recommended for you” suggestions). Much of the discussion about getting views on YouTube focuses on YouTube SEO, social media promotion, and getting subscribers. In addition, one of YouTube’s product managers for the recommendation system created a YouTube video sharing that, since 2015, YouTube’s algorithm goals have purely been to help viewers find the kinds of content they want to watch to increase long-term satisfaction. In a research paper published back in 2016, a group of Google engineers shared their plans for how videos could be surfaced through YouTube’s recommendation engine for a better user experience. It’s one of the platform’s most carefully guarded secrets, after all. They believe there’s no understanding how the YouTube algorithm works.
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Many video creators, whether professional YouTubers or brands on YouTube, regard the YouTube algorithm as a complete mystery-a higher power that rules over their view counts, completely outside of their control.