Retention Engineering & Analytics II
Deep retention analysis, packaging experiments, audience-graph diagnosis, iterating a format from data.
- Lectures
- 8
- Total runtime
- 3h 4m
- Attendance minimum
- 1h 32m
- Prerequisites
- PLT-301 Analytics I: Reading the Data
Lecture Playlist
Ordered as a teaching progression, not by popularity. Attendance is recorded once half of a lecture has been watched.
- The YouTube Algorithms in 2025 — Explained! The system you are optimizing for: how recommendations weigh viewer signals 21 min Attended
- Key Moments in YTA: Introducing Typical Audience Retention! Reading the retention graph against benchmarks: Key Moments & typical audience retention 5 min Attended
- 6 Tips for Better Audience Retention! Retention engineering: turning graph diagnosis into edits, hooks, and pacing 5 min Attended
- Understand Your Viewership Trends: New & Returning Viewers in YouTube Analytics Audience-graph diagnosis: new vs returning viewers and what each trend prescribes 6 min Attended
- A/B testing on YouTube Packaging experiments in Studio: Test & Compare for titles and thumbnails 4 min Attended
- Stanford Webinar: Common Pitfalls of A/B Testing and How to Avoid Them Experimental rigor: designing and interpreting A/B tests without fooling yourself 57 min Attended
- Stanford Seminar: Peeking at A/B Tests - Why It Matters and What to Do About It Advanced experimentation: the peeking problem and deciding when a test is done 62 min Attended
- Practicum · working creator My Video Went Viral. Here's Why A working creator diagnoses one of his own breakout videos from his real analytics, putting Lecture 1's account of how the recommendation system weighs viewer signals and Lecture 5's packaging lever into practice on live channel data 24 min Attended
Every course reserves one practicum seat, listed last and marked P. It is filled by someone who has shipped the work — here, Veritasium — because the university lectures establish why something works and the practicum shows it being done under real constraints.