SQL for Customer Analytics: Cohort and RFM Analysis

Understanding user retention and customer lifetime value is essential for modern business growth. SQL provides a reliable framework to transform raw transactional data into actionable customer insights. In this comprehensive text-based course, you will build foundational database skills and learn key analytics techniques, including cohort tracking and Recency-Frequency-Monetary segmentation. You will learn to write structured queries that measure cohort performance and calculate critical metrics like Lifetime Value. What you will learn: Understand core database terminology, relational structures, and basic SQL syntax. Calculate customer retention rates and analyze cohorts over time. Execute RFM scoring to group users by purchasing frequency and spend. Evaluate key business metrics such as Lifetime Value and average contribution per customer. Use Common Table Expressions and window functions to streamline complex calculations. Translate analytical findings into clear business and marketing recommendations. The material guides you from initial setup and query fundamentals through step-by-step segmentation projects. Designed for beginners, aspiring data analysts, and marketers, this course requires no prior programming experience. Start reading today to master practical SQL methods for customer analytics.