The Deadly Sins of Experimentation
Hosted by Marketing analytics author & consultant
Learn directly from Marketing analytics author & consultant
Go deeper with a course

Go deeper with a course

What you'll learn
How to plan a properly powered experiment
Avoid wasted money & missed opportunities
Ensure tests are statistically valid and actionable
Why this topic matters
You'll learn from
Marketing analytics author & consultant
Marketing Analytics Author & Leader, built measurement systems at global firms
As a marketing analytics leader, I've built and scaled measurement frameworks that process millions of customer touchpoints for global organizations.
My experience includes implementing attribution systems, developing media mix models, and creating incrementality testing frameworks that prove true marketing ROI, from BMW Group to Kindred Group.
This practical experience shaped my book "Data Analytics for Marketing with Python" (Packt, 2024), where I share proven approaches to measurement that drive decisions.
I've faced the challenges you're dealing with – from messy data to skeptical stakeholders.
As co-founder at Pinemarsh Consulting, I help companies implement the same frameworks we'll cover in this course.
Previously at
