TikTok Algorithms and Ranking Factors

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While scrolling through your TikTok feed, you've probably noticed more than once that all the videos in the recommendations almost completely match your interests. You won't come across a video you've already watched, and the recommendations feed will be updated according to new hobbies and interests. How is that possible – TikTok can read minds? The answer is no, it's all about the platform's algorithms.

One of the main reasons why brands and regular creators love TikTok is because it’s a level playing field. On the platform, anyone can get featured if they optimize their videos correctly and follow the tips we’ll share below.

Ready to get featured? Then jiangsu cell phone number list read on to learn more about TikTok's ranking factors and how its algorithms work.


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What is the TikTok algorithm and what is the secret of its work?
TikTok's algorithm is a system that decides which videos will be shown to users on the For You page based on their individual preferences. So, based on certain factors, the system determines which videos a user would like to see in their feed.

The For You page, also known as the For You page, is the first page you land on when you visit TikTok. It's filled with recommended content that gets more specific over time.

TikTok Algorithms and Ranking Factors

Unlike YouTube and Instagram algorithms, TikTok shows recommendations not only from creators you already follow, but also from other profiles. The mix of familiar and new content is carefully tailored to users’ interests, making the platform exciting and sometimes unpredictable.

As noted, the nature of recommendations can change over time: for example, you may see a lot of cooking videos in your feed if you've become interested in the culinary arts. But as you lose interest in the topic and engage with such videos less, TikTok will understand your intentions and adjust to your new preferences.

The For You page is personalized for each individual user, and you won’t see a similar selection of videos from your friends or acquaintances. The platform also narrows recommendations to niche interests, meaning fans of the Barbie movie will see videos related to the film rather than generic content about the dolls of the same name.

But how does it work? When choosing which videos to include in a user's feed, TikTok's algorithm prioritizes a few key elements, which we'll cover below.

User interaction
TikTok's algorithm is very similar to Instagram's, as it prioritizes how users interact with content on the platform. In other words, the algorithm watches your actions to see what content you'll like. For example, the following criteria are taken into account:

videos you liked;
videos you reposted;
accounts you follow;
content you create;
comments you leave on other videos;
videos you save;
videos that you have marked as "not interesting".
To further narrow your interests, TikTok also takes into account whether you watched a video to the end. Watching a video to the end is a strong indicator that you are interested in this type of content. The algorithm also favors creators whose content you regularly engage with over those you follow but skim.

Video Info
While user engagement signals are based on how you interact with content, video signals are based on the content you typically search for on the platform. For example, the algorithms look for the following details:

Video captions help the algorithm determine what exactly a particular video is about;
Hashtags are used to categorize content and also inform the algorithm about the content of the video;
Audio content and visuals help identify popular content to show it to as many people as possible.
Device and account settings
TikTok uses device and account settings to optimize and structure content. At the same time, this point does not have a significant impact on algorithms, since it is based on one-time settings, and not on audience activity. Below are some device and account settings that the TikTok algorithm takes into account:

language settings;
country settings;
device type;
categories of interests that you selected when registering on the platform.
So now you know how the recommendation feed is formed. The algorithm measures the factors listed above to ensure that each video will match the interests and preferences of a particular user.