YouTube's AI System
YouTube's recommendation engine processes over 380 million data points per second, using machine learning to understand user behavior. The system doesn't judge your video—it judges whether real people want to watch it.
What YouTube Actually Tracks:
- Click-Through Rate: % of recommended users who click your video
- Watch Duration: How long viewers stay engaged
- Audience Retention: When do people drop off?
- Engagement: Likes, comments, shares relative to views
- Session Duration: How long users stay on YouTube after watching