Build a Marketing Mix Model in 30 Minutes with Claude Code

Hosted by Gui Diaz-Berrio

Thu, Mar 26, 2026

12:30 PM UTC (45 minutes)

Virtual (Zoom)

Free to join

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

What you'll learn

Watch a full Marketing Mix Model get built live in 30 mins

From raw data to budget optimization — watch every step and understand what Claude Code does and why at each stage.

Spot the failure modes of AI-assisted modeling

Learn the three guardrails that keep agentic marketing science rigorous, and leave with a diagnostic checklist.

Map your workflow to an agentic equivalent

Get a decision framework for what to automate first — so you leave with a concrete plan, not just inspiration.

Why this topic matters

Most MMM projects take so long that the business decisions they inform have already been made. Agentic AI compresses that timeline from months to days. The bottleneck has moved from "can you write the code" to "can you orchestrate and evaluate the analysis." This lesson shows you that workflow live, so you can decide if it's real.

You'll learn from

Gui Diaz-Berrio

Led measurement for €100M+ in ad spend at Kindred Group & Just Eat Takeaway

What you'll see in 30 minutes is one session's worth of material.


The full 4-week cohort (starting May 2026) covers the complete stack:

  • Context window management for long analytical sessions
  • Building custom Claude Code Skills that encode your team's modeling standards
  • End-to-end data pipelines — from raw data to executive-ready deliverables
  • Marketing Mix Modeling and Geo-Experimentation, orchestrated agenically
  • Automating recurring measurement workflows so they run without you


Join the waitlist to get early access and priority enrollment for the May cohort of Marketing Science Bootcamp with Claude Code.


Gui Diaz-Berrio has led marketing measurement at companies spending €100M+ on advertising, including Kindred Group (Head of Marketing Analytics) and enterprise clients through Pinemarsh Consulting. He's built models from scratch and managed vendor relationships — both perspectives taught in this course.

Author of "Data Analytics for Marketing with Python" (Packt, 2024) — covering the practical frameworks taught in this course.

He's faced the challenges you're dealing with — messy data, skeptical CFOs, vendor black boxes, and the pressure to prove ROI with limited experimentation budget.

Previously at

BMW Group
FDJ UNITED
Just-Eat.co.uk
@Packtpub

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