Revenue Model Innovation
New paths to profitability
Explore and implement innovative revenue models for sustainable business growth. Master subscription models, marketplace dynamics, and diversification strategies. Learn to design revenue streams that leverage brand equity.
Daniel Okafor
Professor of Business Strategy & AI Consulting
MBA (Harvard Business School), MS (Stanford Engineering), Ex-Bain Managing Partner
or 7,900 credits
Plan: professional
What You'll Learn
Design revenue models
Diversify income streams
Build subscription systems
Leverage brand for revenue
Course Curriculum
5 chapters · 265+ minUnderstanding different types of revenue models
The What The Positioning The Portfolio Introduction GEO The API AI AI-First Content Modern Social Email Paid Introduction Sentiment CLV Attribution Monitoring AI Design Identity Motion UX Brand Brand Startup Revenue 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
Revenue Model Fundamentals
Revenue Model Fundamentals
This lesson is Revenue Model Fundamentals. Understanding different types of revenue models
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
Revenue Model Strategy
Develop a revenue strategy for a brand
Prerequisites
- Business basics
Topics Covered
Your Instructor
Daniel Okafor
Professor
Former Bain Managing Partner with 18 years leading digital transformation engagements. Architect of the Zero-Human Protocol — where AI digital humans drive the entire consulting lifecycle from diagnosis to delivery with zero human intervention.
11
Courses
16K
Students
4.8
Rating
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