How TikTok's Algorithm Works | Bounty_OS Docs
How TikTok's For You Page algorithm ranks and distributes content, including key ranking signals, content distribution phases, and what kills reach.
How TikTok's For You Page algorithm ranks and distributes content, including key ranking signals, content distribution phases, and what kills reach.
TikTok's For You Page (FYP) is powered by a recommendation engine that evaluates every video independently — your follower count doesn't determine reach. A video from a 500-follower account can outperform one from a 5M-follower account if the signals are right.
TikTok's algorithm weighs these signals, roughly in order of importance:
| Signal | Weight | What It Means |
|---|---|---|
| Watch time | Highest | How much of the video viewers watch. Completion rate is the single strongest signal. |
| Rewatches | Very High | Viewers watching the video more than once. Indicates high-value content. |
| Shares | High | Shares to DMs, other apps, or copy-link. Stronger signal than likes. |
| Comments | High | Especially longer comments. Reply threads boost the signal further. |
| Likes | Medium | Positive signal but weaker than watch time or shares. |
| Follows from video | Medium | When viewers follow you directly from the video. |
| Profile visits | Medium | Viewers tapping your profile after watching. |
Every TikTok goes through a multi-stage distribution test:
These factors signal low quality to the algorithm and limit distribution:
Hashtags and sounds play a supporting role in distribution:
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