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.
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When it comes to gaining views on YouTube, many discussions revolve around YouTube SEO, social media promotion, and increasing subscribers. While these factors help with video discovery, they alone do not unlock the majority of views that can come from YouTube’s recommendation engine (such as the YouTube homepage and “Recommended for you” suggestions).
To enhance the visibility of your videos, it’s important to understand how the YouTube algorithm functions and to learn effective YouTube algorithm strategies. This comprehensive guide covers everything you need to know about the YouTube algorithm to help your videos trend on the platform.

What is the YouTube algorithm?
The YouTube algorithm is a set of computer instructions designed to process videos and associated content such as comments, description, engagements, etc., in order to rank and recommend videos based on relevance and viewer satisfaction.
How does the YouTube algorithm work in 2024?
YouTube’s algorithm is all about helping its users find the most relevant content as easily as possible. YouTube’s entire goal is to increase customer retention and keep its users watching videos for as long as they can.
Since 2015, YouTube has optimized for viewer satisfaction. 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.
But how does YouTube determine satisfaction?
- It sends out millions of surveys each month—though users likely see just two to three—asking for feedback on a specific video.
- It pays attention to when users are clicking the “Not interested” option on videos.
- It looks at likes, dislikes, and shares on a video.
The YouTube algorithm is explained more in this research paper, published by Google engineers Paul Covington, Jay Adams, and Emre Sargin. It breaks down additional signals YouTube uses to rank videos for recommendations:
- Click-through rate (the likelihood of someone clicking on your video after seeing it)
- Watch time (the combined amount of time viewers spend watching your videos)
- How many videos the user has watched from your channel
- How recently the user watched a video about the same topic
- What the user has searched for in the past
- The user’s previously watched videos
- The user’s demographic information and location
The first three signals are the only ones you can influence directly. The rest depend on factors outside of your channel in order to personalize the recommendation.
These Google engineers even state that their final ranking objective is “generally a simple function of expected watch time per impression. Ranking by click-through rate often promotes deceptive videos that the user does not complete (’clickbait’) whereas watch time better captures engagement.”
There are two main places YouTube users will see suggested videos: on the homepage and while watching other videos. These recommendations are made using YouTube’s algorithm, but the algorithm works differently for each of these spaces.
Homepage
When you head to the YouTube website or open the mobile app, you immediately land on the homepage. Here, YouTube aims to provide the most relevant and personalized video suggestions for each user, pulling them in and trying to keep them on the app for as long as possible.
Homepage videos are based on two criteria.
- Video performance: How well similar viewers seemed to enjoy the video
- Personalization: Your specific viewing habits and watch history
At this point in the process, YouTube doesn’t have information on a viewer’s intent for heading to the video platform. So it has to rely on what it does know, which is based on the types of videos a viewer has enjoyed in the past.
Suggested video
The suggested videos section appears in the right-hand sidebar next to the video you’re currently watching (or below the video you’re currently watching if you’re accessing the mobile app).
How does the YouTube algorithm work for suggested videos? These videos are based on your viewing history during this session and are recommended based on what the algorithm thinks you’re most likely to watch next. Criteria includes:
- Videos that tend to be watched together.
- Videos on a similar topic.
- Videos that you’ve watched in the past.
Because YouTube now has some understanding of why you’re accessing its platform at this time, these videos tend to be more tailored to your current session, rather than a general selection of what it thinks you might like.
Trending video
The YouTube Trending Videos algorithm showcases popular content in each country, refreshing every 15 minutes to stay current. It considers factors like view count, view velocity, view sources, video age, and channel performance to create a list of trending content.
Interestingly, the video with the highest view count isn’t always #1, as the algorithm aims for relevance and representation across the platform. YouTube also applies strict content filters to keep the Trending list family-friendly.
Here’s how the YouTube algorithm works, according to Google engineers who worked on it, and tips for how you can get more views on YouTube.