Customer Data Platform Insights: Designing Real-Time and Calculated Metrics

Modern businesses collect vast amounts of customer data, but transforming that raw information into actionable strategy is a major challenge. Understanding how to model, calculate, and leverage customer behavior metrics is key to unlocking the true potential of any Customer Data Platform (CDP). This text-only course teaches you how to design and implement both calculated and real-time insights within Data Cloud environments. You will learn how to turn fragmented data points into a unified, 360-degree view of your customer, enabling smarter business decisions and automated personalization. What you'll learn: - Understand foundational CDP concepts, including identity resolution and data modeling basics; - Create calculated insights to analyze historical trends and long-term customer behavior; - Build real-time insights to capture live interactions and trigger immediate actions; - Apply privacy-first data principles to ensure compliance and ethical customer data handling; - Translate business requirements into structured SQL-based queries for Data Cloud; - Validate and test your data insights to ensure accuracy and reliable reporting. We start with the core terminology and architecture of Customer Data Platforms, establishing a solid foundation. From there, you will progress through written tutorials and practical scenarios that guide you in structuring metrics, resolving identities, and deploying insights for real-world business use cases. This course is designed for beginners, data analysts, and marketing operations professionals who want to understand Data Cloud metrics. No prior experience with Customer Data Platforms is required, though a basic familiarity with data concepts is helpful. Start reading today to master the metrics that drive modern customer experiences.