Completed
High Probability ≠ High Wisdom: Where Prediction Breaks Down
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
Beyond Send-Time Optimization - AI Decisioning for B2C Marketing
Automatically move to the next video in the Classroom when playback concludes
- 1 Welcome & What We’ll Cover: The Evolution of Send-Time Optimization
- 2 Why “Best Time to Send” Isn’t Enough in a Noisy Digital World
- 3 Engagement Is Flatlining: The Consequences of Inbox Overload
- 4 Rewind: How Classic STO Works and Why It Used to Win
- 5 High Probability ≠ High Wisdom: Where Prediction Breaks Down
- 6 The Big Shift: From “Best Time” to “Best Action” with AI Decisioning
- 7 What Signals Power Decisioning? Journey, Fatigue, Rules & Human Choice
- 8 Side-by-Side Example: Prediction Sends, Decisioning Holds
- 9 Business Impact: Trust, Lower Churn, and Relationship Optimization
- 10 Hand-off to Engineering: From Marketing Concept to Technical Reality
- 11 Engineer Intro + Core Problem: Predictions Don’t Guarantee Right Actions
- 12 Live Demo: Five Scenarios of Send vs Defer vs Skip Channel-Agnostic
- 13 Under the Hood: 3-Layer Architecture Predict, Decide, Protect
- 14 Production Challenges: State Management Across Competing Campaigns
- 15 Wrap-Up, Resources GitHub, and Closing Thanks
