Predictive Brand Modeling
Forecast brand performance
Build predictive models to forecast brand performance, market shifts, and emerging trends. Master time series analysis and ML forecasting for brand planning. Learn to build models that predict brand health metrics and identify opportunities before they emerge.
Robert Thornton
Distinguished Professor of Data Analytics & Intelligence
PhD (Stanford Statistics), MS (MIT CSAIL), Ex-Amazon/Netflix Head of Data Science
or 9,900 credits
Plan: supreme
What You'll Learn
Build predictive models for brand metrics
Master time series forecasting techniques
Develop scenario planning capabilities
Deploy models in production environments
Course Curriculum
5 chapters · 340+ minBuilding the forecasting mindset for brand management
Brand Metrics Mastery
Understanding and applying key brand performance metrics effectively.
- Identify relevant brand metrics
- Implement measurement systems
- Analyze metric relationships
- Use metrics for decision making
ROI and Impact Assessment
Quantifying the business impact of brand initiatives systematically.
- Define ROI measurement frameworks
- Collect impact data accurately
- Calculate brand ROI precisely
- Report impact to stakeholders
Lecture · Chapter 1 of 5
Predictive Analytics Foundations
Predictive Analytics Foundations
This lesson is Predictive Analytics Foundations. Building the forecasting mindset for brand management
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
Brand Forecast Model
Create a predictive model for brand performance
Prerequisites
- Advanced analytics
- Statistics knowledge
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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