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.
Prof. Victoria Sterling
Distinguished Professor of AI Brand Strategy
PhD (MIT), MBA (Harvard Business School), Ex-Google VP of Global Brand
or 4,398,000 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+ minPositioning Science: Art Meets Algorithms
55mTransitioning from intuition-based positioning to data-driven precision using statistical methods
Perceptual Mapping with ML
65mBuilding AI-powered perceptual maps that visualize brand relationships in multidimensional space
Semantic Positioning Analysis
60mUsing NLP to analyze brand semantic space and identify positioning opportunities
Blue Ocean Detection
60mApplying machine learning algorithms to identify underserved market segments and whitespace opportunities
Positioning Optimization Algorithms
60mCreating automated systems that continuously optimize brand positioning based on performance data
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
Prof. 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
Academy at a Glance
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