You invest a lot of time and effort into the videos you upload on YouTube; however, the number of views remains very low. At this point, you need to understand the latest YouTube algorithm and how it operates to create attractive videos that are suitable for your target audience and are more likely to trend. Let’s delve into the following article to gain a clearer understanding!
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About YouTube algorithm
This is the process by which YouTube collects statistical data from users and channels to analyze and understand each user on the platform. They usually watch and interact with the content and purpose. Hence, the ultimate goal is to suggest users videos that YouTube believes they will want to watch, aiming to keep users on the platform for as long as possible.
Videos YouTube recommends are based on factors such as personalization, video performance, and external elements. Over time, YouTube algorithm has changed its operational mechanisms as follows:
- From 2005 to 2011, YouTube primarily focused on the number of views and clicks on a video. During this period, the algorithm recommended videos with high view counts and click-through rates to users.
- In 2012, YouTube introduced a new metric, “watch time,” used in the algorithm for searching and recommending videos. Videos with more views were rated higher, emphasizing that if a video is valuable and interesting, users will watch it for a longer duration and potentially watch it to completion.
- In 2015-2016, YouTube measured viewer satisfaction through surveys or direct feedback, making the algorithms more personalized to suggest videos viewers want.
- From 2016 onwards, the algorithm has focused on eliminating harmful, toxic, or rule-violating content. Content creators must have a clear content production process to earn money and protect brand safety.
How does YouTube algorithm work?
To recommend personalized videos for each user, the YouTube algorithm consists of two steps:
Step 1: User video filtering
From its video database, YouTube selects a list of videos most relevant to the user. The selection is based on personal information gathered from the user’s profile and other supplementary data if available.
Step 2: Video ranking
From the selected list, features such as views, likes, comments,.., are taken into account for each video. Videos are then suggested to users and ranked from high to low. YouTube recommends videos on topics users frequently watch and suggests less popular topics and videos that the platform believes users might enjoy, encouraging them to explore different topics and channels.
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How does YouTube algorithm change at certain locations?
Although the operational mechanisms of YouTube are similar, the algorithm is adjusted to recommend videos suitable for each location:
Homepage
This is where users see first when accessing Youtube. Therefore, to keep users staying and continuing to explore other videos on the platform, Youtube will recommend videos on topics that attract users and have a high click-through rate.
To come up with a suitable list of videos, Youtube will base on the user’s viewing history: what videos have they watched before, what genre of video is it, are there any channels or topics they watch videos regularly, Youtube has What videos did you show them,…
The algorithm will look at people with similar features, the topics they often watch to find a list of videos that users may like. Based on the interaction in each video, it will be ranked and recommended to users.
Suggested videos
Similar to the homepage, this algorithm relies on user data history to determine content and topics users want to watch. Among a range of relevant videos, the algorithm selects high-quality ones based on clicks, watch time, comments, shares,… to recommend to users. Usually, the algorithm suggests playlist, videos with related topics,…
Search
The way the algorithm works on YouTube’s search page is quite simple. When a user enters any keyword in the search bar, the algorithm will immediately scan its database to find videos that match the keywords.
To determine whether a video is suitable or not, Youtube will find and read the video’s “metadata”. Metadata is the information that video creators add every time they post a video, including video title, tags, description, thumbnail,…
After finding suitable videos, the algorithm will continue to evaluate video quality based on user interaction with each video. If the video receives positive user reviews, Youtube will understand that this is a quality video and will recommend it. If many people access the video but have already logged out, the algorithm will understand that this is a low-quality video and will stop recommending the video.
Trending
The YouTube algorithm aggregates popular videos or content creators currently favored in the countries where users reside. On the Trending tab, creators can find trends and create suitable videos. Trending videos are decided based on views, growth rate, or views from specific countries.
Subscriptions
Users can view videos from all subscribed channels, including recent popular or newly uploaded videos. The algorithm uses View Velocity to rank and select suggested videos, measuring the number of views a video receives shortly after being uploaded.
Positive interactions prioritize video recommendations, while a high number of visits with subsequent exits may lead to the algorithm stopping video suggestions.
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How to have your YouTube videos recommended?
In addition to understanding the YouTube algorithm, you need to pay attention to the following aspects to increase views and have your videos recommended:
Utilize user data from YouTube
The ultimate goal of the YouTube algorithm is to keep users on the platform for as long as possible. Based on video viewing history and user behavior analysis to predict the content they prefer. Once you have this data, you can easily create videos with content about topics that users want to see.
Use YouTube Analytics to gain insights into similar channels watched by viewers in the last 28 days or other videos viewed in the last 7 days… Hence, you can understand the content that users like and create more engaging videos.
Optimize Metadata
Besides filling in comprehensive and optimized information such as video title, tags, description, and thumbnail images, you have to explore the Video Chapters feature. This feature allows you to divide the timeline into smaller sections like a table of contents, making it easier for users to skip to the part they want to watch.
This enhances user experience and provides the algorithm with more specific information about each segment of the video, helping it make more accurate recommendations.
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Recommend users to watch more videos
Based on the videos users have watched, the algorithm suggests relevant content. The more people watch your videos, the higher the likelihood of having your videos recommended to other users. Some methods to recommend viewers to watch more videos from your channel are:
- Commenting and pinning links to prominent videos at the top of the comment section.
- Creating playlists of similar or most-viewed videos.
- Using the End Screen feature to suggest related videos for users to continue watching.
Use YouTube Shorts
YouTube Shorts was introduced to compete with TikTok. Currently, it receives special attention from the platform. Therefore, Youtube algorithm prioritizes Shorts, and they appear in various locations such as the homepage, search results, Shorts tabs,… Hence, to increase the chances of your videos being recommended, consider leveraging this feature.
By now, you have a clear understanding of the YouTube algorithm. We hope this information will assist you in building and growing your YouTube channel. If you want to delve deeper into valuable Digital Marketing knowledge, be sure to visit our website daily!
You may want to know:
- Cost of running ads on Youtube in 2024
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- Summary of effective free YouTube ad blockers
Frequently asked questions
Each type of video has its recommendation algorithm. Therefore, if one type of content has more interactions, it will not affect the other type of content. This is because different people have different preferences for watching videos. Some people enjoy Shorts, while others prefer longer videos.
Each Short has its own chance of success, regardless of whether your YouTube channel has a small or large number of uploaded videos. The performance of Shorts is determined by whether people choose to watch them and do not skip them in the data feed. However, gaining audience interaction usually takes a certain amount of time.
