Customer Journey Optimization with Path Optimizer

In the world of digital marketing, guessing how your audience will react to a message is a risky strategy. By systematically testing different paths within your customer lifecycle, you can let real user behavior guide your communication strategy. This course teaches you how to design, execute, and analyze experiments within Journey Builder using Path Optimizer. You will transition from setting up static communication flows to building dynamic, self-optimizing journeys that automatically select the best-performing path based on real-time customer actions. What you'll learn: Understand the core principles of customer journey mapping and behavioral triggers; Configure Path Optimizer activities to test different channels, send times, and content variations; Define clear test metrics, split distributions, and winner-selection criteria; Apply modern A/B/n testing methodologies to automated marketing campaigns; Analyze test results and implement data-driven adjustments to ongoing customer paths. We begin with foundational journey mapping concepts and terminology before diving into the practical mechanics of setting up split tests. You will learn to structure tests logically, monitor performance, and establish a continuous cycle of optimization. This text-based course is designed for beginner marketing automation specialists, CRM managers, and digital marketers who want to introduce experimentation into their campaigns. No prior technical experience is required. Start reading today to turn your marketing journeys into high-performing, data-backed customer experiences.