Upskill your analysts and leaders so they can build, run and challenge measurement themselves. Practitioner-led workshops and live cohorts on MMM, experimentation and causal inference — taught with your own data, not toy examples.
We use your actual data and business problems to build workshops that produce immediate, practical results — for analysts and executives alike.
For marketing and data leaders who need to understand what modern measurement looks like, what to ask vendors, and how to judge their team’s capability.
For analytics teams. Hands-on MMM building, experimentation design and tooling — using your actual data wherever possible.
Executive education, technical training and a live model build combined. Your team leaves with a working measurement system, not just notes.
Scoped to your team — typically from £3,500 for a half-day executive briefing up to £10,000+ for a full programme with a live model build.
Built from 15+ years and €100M+ in ad spend measured in-house. Every concept grounded in real application.
OLS, Bayesian and Meridian MMMs, attribution analyses and geo-experiments — hands on keyboard.
Coding-agent skills that automate data prep, diagnostics and variable selection — yours after the course.
Apply everything to your own dataset and walk away with a working model for your business.
4 weeks, 8 live sessions. Build a complete measurement system — MMM, attribution and geo-experimentation — in Python, PyMC and Google Meridian. Run live on Maven.
Cohorts run quarterly (typically September and November). Individuals welcome; teams can join the same cohort or commission a private one. Leave with models, code and AI-powered skills you can apply to your own data immediately.
Cohort-based, on Maven
Causal thinking with DAGs, EDA, cross-correlation, data-quality assessment.
OLS MMM, adstock & saturation, Bayesian MMM in PyMC, budget optimisation.
Google Meridian end-to-end, Shapley & Markov attribution, bring-your-own-data.
Geo-experiments, synthetic control, power analysis, DiD, calibration loops.
The full curriculum, on demand — plus downloadable coding-agent Skills for marketing analytics. Hosted on our learning site, marketingscience.dev.
Gui served as a cornerstone of our UK Marketing Analytics function — ensuring data quality and model robustness, and that results translated back to the business in an action-oriented way. He championed the shift toward robust incrementality testing, bringing a new level of scientific discipline to our marketing.
“Strategic Analytics professional, particularly skilled in problem solving.”
“Extremely skilled in analytics, statistics, and coding with a very competent grasp of martech. Great at teaching, explaining, and leading.”
“Set up a vision and a strategy to put data at the heart of every step of the marketing process.”
Tell us about your team and goals, or book a 30-minute call. You’ll speak with Gui directly — not a sales team.
Book a free 30-minute call to scope training for your team.
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