TikTok Algorithm 2017

TikTok Algorithm 2017 How The Algorithm Works

Though nobody outside TikTok knows how its algorithm works and which hashtags it favors yet the influences have a consensus that adding #foryou or any variation of it may increase your chances of showing up on the “For You” page.

If it happens your video is most likely to get a lot of eyeballs. So don’t forget to add this hashtag.

The system recommends content by ranking videos based on a combination of factors — starting from interests you express as a new user and adjusting for things you indicate you’re not interested in, too.

What Factors Influence the TikTok Algorithm:

The TikTok algorithm serves videos to users based on a number of different factors, including:

  • Video Likes, Comments, Shares, Completions, and Re-watches: The more engagements and views a TikTok video receives, the more likely it will be served to larger audiences.
  • Subject Matter: TikTok is great at categorizing content based on user interests, so subject matter is an important factor when it comes to reach potential on the app.
  • Device Settings: The algorithm recognizes a users device settings such as posting location and language — typically sharing local content.
  • Audio: When a video includes a trending sound or song, the more likely it’s served to a larger audience.
  • Hashtags and caption keywords: Including hashtags and keywords in your captions informs the algorithm what your content is about.
  • User Activity and “Not Interested” Feedback: The TikTok algorithm is always trying to serve high-interest videos to every user, and it uses previous activity to determine this. Likes, comments, shares, and re-watches are all major indicators of interest.


TikTok explains a strong indicator of interest is if a user finishes watching a video from beginning to end.

This would receive greater weight than a weak indicator, such as whether the viewer and creator of the content are both in the same country.

These “indicators of interest,” help TikTok rank the videos on a user’s For You page.

TikTok explained that, “neither follower count nor whether the account has had previous high-performing videos are direct factors in the recommendation system.”


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