Network Analysis for Marketing Analytics

In modern marketing, understanding isolated customer data points is no longer enough; you need to see how they connect, influence, and interact with each other. This text-only course teaches you how to apply network analysis to uncover hidden communities, identify key influencers, and map brand ecosystems. Through this course, you will: 1. Understand the foundational concepts of network theory, including nodes, edges, density, and centrality. 2. Identify key influencers and information hubs within customer and social media networks. 3. Discover natural customer communities and market segments using modern clustering algorithms. 4. Map brand associations and product co-purchases to optimize cross-selling strategies. 5. Practice interpreting network metrics to make data-driven marketing decisions. You will start with core network definitions and basic relational structures before moving into practical marketing scenarios, learning how to analyze connectivity and flow. This course is designed for marketing analysts, data enthusiasts, and business strategists looking to add network science to their toolkit, with no prior network analysis experience required. Begin reading today to transform how you analyze customer and brand relationships.