Marketing Measurement: MMM, Attribution & Incrementality

Hosted by Gui Diaz-Berrio

What you'll learn

COMPARE & CONTRAST

Understand the unique strengths, limitations, and best use cases for each of the three measurement approaches

CHOOSE THE RIGHT METHOD

Learn when to apply each measurement method based on your marketing objectives and available data

BUILD AN INTEGRATED FRAMEWORK

Discover how to combine all three approaches to create a comprehensive measurement strategy

Why this topic matters

Modern marketing measurement is at a crossroads with privacy changes and cookie deprecation. Understanding how MMM, Attribution, and Incrementality complement each other is crucial for making confident marketing decisions. This knowledge will help you build more sophisticated measurement frameworks and make better budget recommendations.

You'll learn from

Gui Diaz-Berrio

Co-founder @ Pinemarsh and author of "Data Analytics for Marketing"

A marketing analytics leader and published author with over 10 years of experience building measurement frameworks at global companies. As Head of Marketing Analytics at Kindred Group, I developed sophisticated attribution models and implemented Media Mix Modeling systems, driving significant improvements in marketing efficiency and ROI across multiple channels.

My passion for teaching stems from seeing how proper measurement frameworks transform marketing organizations. The insights from my recent book "Data Analytics for Marketing" (Packt Publishing, 2024), combined with hands-on experience building incrementality testing frameworks and attribution systems, will help you understand not just the theory, but the practical implementation of these complementary approaches.

What sets me apart is my experience building these systems from the ground up while managing stakeholder expectations and driving organizational adoption. I'll share real-world examples of how these methods work together to provide a complete view of marketing effectiveness.

Previously at

Kindred
BMW
@Packtpub
© 2025 Maven Learning, Inc.