Staging environment

How To Get Started With Incrementality Testing

Hosted by Gui Diaz-Berrio

In this video

What you'll learn

What is Incrementality Testing

Understand the fundamental difference between measuring correlation and measuring true causal impact.

Types of Incrementality Tests

Discover the three main incrementality testing methods: A/B tests, geo experiments, and synthetic control tests.

Common pitfalls to avoid

Learn the critical mistakes that invalidate incrementality tests, from insufficient sample sizes premature conclusions.

Why this topic matters

Incrementality testing is the difference between guessing and knowing which marketing efforts actually drive growth. Most businesses waste 20-40% of their marketing budget on channels and campaigns that generate zero incremental value—they're simply taking credit for sales that would have happened anyway.

You'll learn from

Gui Diaz-Berrio

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

Author of Data Analytics for Marketing and founder of Pinemarsh, a Marketing Science Consulting Firm.


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.


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 / worked with

Dampi Bowl 🥥🍍🌶
Kindred
BMW Group
@Packtpub
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Go deeper with a course

Marketing Science Bootcamp: MMM, Attribution & Incrementality
Gui Diaz-Berrio
View syllabus