You Ask, I Answer: Implementing Personalization at Scale?

About This Video

Christopher Penn addresses one of the most persistent tensions in modern marketing: everyone knows personalization works, but few organizations actually implement it at a level that moves the needle. In this Q&A-style session, Penn breaks down what it takes to move beyond "Hi {first_name}" and into genuinely relevant, behavior-driven personalization across channels. He covers the data layer required --- first-party data collection, identity resolution, and behavioral tracking --- as well as the AI and machine learning models that power dynamic content, recommendation engines, and predictive personalization. Penn also addresses the organizational barriers that kill personalization initiatives: siloed data, lack of executive buy-in, and the mistaken belief that you need a Netflix-level recommendation engine to get started. This is a practical, technically grounded look at how B2B and B2C teams can build personalization capabilities incrementally rather than waiting for perfection.

What You'll Learn

• •The data infrastructure prerequisites for meaningful personalization across channels
• •How to build a first-party data strategy that supports personalization at scale
• •The role of AI and machine learning in content recommendation and dynamic personalization
• •Why "personalization" fails in most organizations --- and how to fix the root causes
• •How to start small with personalization using tools you already have
• •The difference between personalization for B2B vs. B2C customer journeys
• •How to measure whether your personalization investments are actually improving outcomes