Strategic Brand Management: Storytelling & Positioning
Skills:
AI Marketing50%
Build the strategic foundations required to create powerful, differentiated brands in modern markets.
This course guides you through brand identity systems, storytelling frameworks, segmentation, positioning, and brand architecture, showing how strong brands are built through clarity of purpose, emotional connection, and consistent execution across digital, physical, and AI-driven touchpoints.
You’ll start with brand identity, equity models, differentiation strategies, and purpose-led design. Next, you’ll explore storytelling frameworks, emotional branding, and cultural intelligence to craft narratives that resonate across audiences.
You’ll then apply Segmentation, Targeting, and Positioning (STP) frameworks to develop clear value propositions and competitive positioning. Finally, you’ll examine brand architecture models, governance systems, and portfolio strategies to support long-term growth and consistency.
This course focuses on practical frameworks, real-world case studies, and applied exercises, so you don’t just learn branding theory, you build structured brand systems.
By the end of this course, you will be able to:
• Build cohesive brand identity systems grounded in strategy
• Craft emotionally resonant brand narratives
• Develop STP models and differentiated positioning statements
• Design scalable brand architecture and governance frameworks
This course is ideal for:
-Aspiring brand managers and marketing professionals
-Founders and start-up teams building brands from scratch
-Content, strategy, or communications professionals upskilling in branding
-Learners preparing for roles in brand strategy and marketing leadership
Disclaimer: This is an independent educational resource created by Board Infinity for informational and educational purposes only. This course is not affiliated with, endorsed by, sponsored by, or officially associated with any company, organization, or certification body unless explicitly stated. The content provided is based on
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