Customer Lifetime Value Analysis
Predict and maximize customer value
Master customer lifetime value analysis to predict and maximize customer value. Learn CLV modeling, segmentation strategies, retention optimization, and value maximization techniques. Build data-driven customer value frameworks.
Robert Thornton
Distinguished Professor of Data Analytics & Intelligence
PhD (Stanford Statistics), MS (MIT CSAIL), Ex-Amazon/Netflix Head of Data Science
or 7,900 credits
Plan: professional
What You'll Learn
Model customer lifetime value
Segment customers by value
Optimize retention strategies
Maximize customer value
Course Curriculum
5 chapters · 275+ minUnderstanding customer lifetime value concepts and calculation methods
The What The Positioning The Portfolio Introduction GEO The API AI AI-First Content Modern Social Email Paid Introduction Sentiment CLV Core Concept Fundamentals
Building essential knowledge of fundamental principles and methodologies in the ai-native brand paradigm.
- Understand core principles and theories
- Apply foundational frameworks correctly
- Build knowledge progressively
- Connect concepts to practical applications
Practical Application Essentials
Translating theoretical knowledge into actionable brand strategies.
- Connect theory to practice
- Identify application opportunities
- Execute implementations effectively
- Measure application outcomes
Lecture · Chapter 1 of 5
CLV Fundamentals
CLV Fundamentals
This lesson is CLV Fundamentals. Understanding customer lifetime value concepts and calculation methods
Optional: render an on-demand high-definition instructor video
On-demand render \u00b7 photoreal instructor \u00b7 synchronized narration \u00b7 charged at per-use Credits when enabled.
Course Project
CLV Analysis Report
Create a customer value analysis framework
Prerequisites
- Analytics basics
Topics Covered
Your Instructor
Robert Thornton
Distinguished
Former Netflix Head of Data Science who built recommendation systems serving 200M+ users. Creator of the RICE+ analytics framework — the definitive methodology for quantifying brand health through AI-driven metrics.
13
Courses
20K
Students
4.9
Rating
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