Fascinating YouTube Algorithm Insights from a Data Scientist – Thoughts?
Hey guys, You know I like my stats, and thought I would share :) So I stumbled across a post r/youtube for growth tips when I came across a post by a data scientist working with a mid-sized channel. Their insights into a recent YouTube Studio update were eye-opening, and I thought they’d spark some great discussion here. I’m really curious to hear your thoughts—do you agree with their take on the algorithm? Have you noticed similar patterns in your analytics or tried their strategies? Here’s a simplified summary of their post. I have tried to break down complex ideas like “CATs” for those who are not aware of the term The data scientist noticed YouTube Studio’s “Audience” tab now splits viewers into three groups: Regular (long-time, loyal watchers), Casual (newly subscribed or watched recently), and New (first-time viewers). They believe YouTube’s algorithm works like a “warm start” system, similar to TikTok’s, where videos are first shown to Regular viewers, then Casual, and finally New viewers based on engagement speed (not just total views). Comments within the first few hours are the biggest driver of reaching New viewers. They also explain why follow-up videos after a viral hit often flop—Casual viewers (“zombie subscribers”) don’t engage as much with your core content. Their tips for sustainable growth: 1. Start with CATs in the first 30 seconds (Curious, Approachable, Tangible): 2. Update your fanbase intuition: Your Regular and Casual viewers shift over time, so adapt your content to match their changing interests. 3. Plan “Key Moments”: For videos over 10 minutes, create engaging moments every 2-3 minutes (like mini CATs) to keep viewers hooked, shown in the “Key Moments” graph. 4. Track comments per 3 hours: This metric strongly influences total views, but every channel’s baseline varies. I checked my Studio and saw the new audience categories, which made the “zombie subscriber” issue click for me. Anyone else seeing this in their analytics?