Managing Assets in Einstein Content Selection

Delivering personalized content at scale can be challenging when managing assets manually. This course teaches you how to leverage Einstein Content Selection to automatically serve the most relevant assets to your audience. You will transition from manual content placement to an automated, AI-driven asset strategy. By understanding how to properly categorize, upload, and configure your marketing assets, you will be able to maximize engagement and streamline your campaign workflow. What you'll learn: - Understand foundational concepts of automated content selection and AI-driven personalization - Configure asset classes, attributes, and metadata structures for optimal targeting - Add and manage content assets within the selection pool using best practices - Set up fallback assets to ensure a seamless subscriber experience at all times - Analyze selection rules and performance metrics to continuously refine your strategy. This text-based course guides you through the core terminology of Einstein Content Selection, followed by structured walkthroughs on asset configuration and optimization strategies. You will practice applying these concepts through written scenarios and conceptual exercises. Designed for beginner digital marketers and content managers, this course requires no prior experience with AI tools. Start optimizing your digital campaigns with automated content selection today.