Brand Positioning with Machine Learning
Data-driven positioning strategies
Master brand positioning using machine learning techniques to build positioning maps, perceptual models, and optimization algorithms. This course teaches the GEO framework for understanding where your brand sits in consumer minds and how to move it strategically. Learn to analyze semantic spaces, identify positioning opportunities, and create algorithms for continuous positioning optimization.
Victoria Sterling
Distinguished Professor of AI Brand Strategy
PhD (MIT), MBA (Harvard Business School), Ex-Google VP of Global Brand
or 7,900 credits
Plan: professional
What You'll Learn
Build ML-powered perceptual maps for competitive analysis
Analyze brand semantic positioning using NLP techniques
Detect blue ocean opportunities with machine learning
Create automated positioning optimization algorithms
Course Curriculum
5 chapters · 300+ minTransitioning from intuition-based positioning to data-driven precision using statistical methods
The What The Positioning 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
Positioning Science: Art Meets Algorithms
Positioning Science: Art Meets Algorithms
This lesson is Positioning Science: Art Meets Algorithms. Transitioning from intuition-based positioning to data-driven precision using statistical 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
ML Positioning Engine
Create a positioning optimization system using machine learning
Prerequisites
- Intermediate brand strategy knowledge
- Basic statistics understanding
Topics Covered
Your Instructor
Victoria Sterling
Distinguished
Former Google VP who led brand transformation for Fortune 100 companies across 30 countries. Pioneer of the RAAS methodology — where every AI interaction delivers measurable business results, not just recommendations.
14
Courses
23K
Students
4.9
Rating
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