TikTok explains its For You feed
TikTok publishes an official explanation of how its "For You" recommendation system works (interactions, video information, account settings).
Key points
- TikTok details for the first time the signals of the For You feed: user interactions, video information and account/device settings.
- Interactions (full views, likes, shares, comments, accounts followed) carry more weight than passive signals.
- An account's number of followers and performance history are not direct recommendation factors.
- Each video is evaluated on its own merits, which allows a recent account to break through.
Analysis
By publishing this official explanation, TikTok confirms a distribution model centered on content rather than on account fame. The system tests each video with a small audience, then widens the reach if the engagement signals, in particular the completion rate, are good.
For a brand, this means that the consistency and quality of each post matter more than a stock of acquired followers. It is a platform where organic discovery remains possible, but it rewards catchy first seconds and viewing all the way through.
What to do
- Optimize the first three seconds and aim for a high completion rate: short vertical format, immediate hook, subtitles.
- Track per video the views/completion ratio and the engagement rate rather than follower growth alone.
- Test varied angles by posting regularly, each video being re-evaluated independently by the algorithm.
Confirms that reach depends mainly on engagement and not on follower count. Content comes first.