Designing and Implementing Personalization at Scale

In this Designing and Implementing Personalization at Scale course, you’ll learn how to build systems that balance automation with empathy, respond to real-time behavior, and follow strong privacy rules. You’ll explore how to define escalation points and improve support through journey mapping and feedback. By the end, you’ll know how to run adaptive systems that customers trust.

We’ll start by describing how to create a personalization framework that links your tools and decision logic across every support channel. Then, you’ll explore when to use automation and when to escalate a customer to a human agent. We’ll discuss mapping customer journeys to find friction points and how to recognize signals that help you personalize an experience at the right moment.

The course also covers privacy, consent, and how to avoid algorithmic bias. Finally, you’ll see how to act on feedback so your system keeps improving. These strategies will help you build a system that scales with confidence and earns lasting customer trust.

Learning Objectives:

• Build a personalization framework that aligns data, logic, and execution
• Balance automation with live support
• Identify stages in the customer journey where personalization adds value
• Apply privacy, consent, and bias-reduction standards to personalization systems
• Use customer feedback to improve logic, workflows, and service consistency