The conversation discusses insights and facts about the YouTube algorithm straight from the team lead of growth and discovery. It highlights the shift in understanding that the algorithm activates when a viewer logs in, not when a video is published. The algorithm's goal is to find the best videos for each individual viewer based on their history, preferences, and behavior. The conversation also explores the techniques the algorithm uses to find videos for viewers, including subscription and view history, collaborative filtering, and deep learning. It emphasizes the importance of understanding viewer preferences and trends in order to increase visibility on YouTube.

Takeaways

• The YouTube algorithm activates when a viewer logs in, not when a video is published.
• Understanding viewer preferences and trends is crucial for increasing visibility on YouTube.
• Subscription and view history, collaborative filtering, and deep learning are the techniques the algorithm uses to find videos for viewers.
• Personalization is prioritized over performance analytics in recommending content to viewers.
• Old videos have the potential to perform well if optimized with relevant keywords and updated thumbnails or titles.