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How YouTube Algorithm Rewards Watch Time Over Clicks
Description
Lucas and Luna dive into the YouTube algorithm's core metric: watch time versus click-through rate. Using the case of a 45-minute documentary that outperformed a 10-second short, they explain how YouTube's recommendation system prioritizes retention over initial engagement. They break down the 'session time' concept, how YouTube measures viewer satisfaction beyond the first click, and why creators should focus on average view duration rather than thumbnail optimization alone. Plus, a practical tip: the 'audience retention graph' in YouTube Studio reveals exactly where viewers drop off. If you're a creator chasing views, this episode reframes your strategy around keeping people watching, not just getting them to click.