Marketing Analytics: Marketing Mix Modeling

This course contains the use of artificial intelligence.

Welcome to Marketing Analytics:  Marketing Mix Modeling, a practical course designed to help you understand how organizations use data to make smarter marketing decisions. In this course, you will explore Market Analysis, Marketing Mix Modeling (MMM), Customer Experience Metrics such as CSAT, NPS, Customer Retention, and Customer Churn, along with Upselling strategies and Customer Lifetime Value enhancement.

You will also learn how Logistic Regression and Classification Techniques are used to predict customer behavior, reduce churn, and support business decision-making. Through real-world case studies from Coca-Cola, Amazon, Netflix, Unilever, Banking, and E-commerce, you will see how leading organizations apply marketing analytics to improve customer satisfaction, optimize marketing investments, and increase business performance.

The course includes practical examples, numerical problems, interview preparation, and business applications to help you confidently apply marketing analytics concepts in real-world scenarios. Whether you are a student, marketing professional, business analyst, researcher, or entrepreneur, this course will provide the knowledge and practical skills needed to make data-driven marketing decisions and build a strong foundation in modern Marketing Analytics. You will gain industry relevant knowledge through hands on practices, practical business scenarios, Industry case study and data driven decision  techniques applicable across worldwide.