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Know exactly where your next $1 of marketing should go

We help growth-stage and enterprise brands build Marketing Mix Models and run experiments that drive confident budget decisions — without black-box attribution or vendor theatre.

who we help

brands who struggle with

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Conflicting Attribution
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no confidence in budget decisions
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weak or inconsistent experiments
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data that’s not model ready
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pressure from finance

How we work

four steps to smarter spending

01

Diagnose

We audit your data, experiments, and media structure to find what’s holding measurement back.

02

Model

We build transparent MMM and causal models tailored to your market, channel mix, and data reality.

03

Experiment

We design and run structured tests to validate and refine the models.

04

Reallocate

We help teams shift budgets, model scenarios, and forecast outcomes — with confidence.

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meet the founder

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GUI DIAZ-BERRIO

Founder, Pinemarsh. Data Scientist. Author. Teacher. Speaker.

Economist by training and at heart, Gui learned how to code at 6 and has been combining maths and code his whole career.

With over 15 years of experience in data analytics and marketing optimization he specialises in machine learning, econometrics, and Python for actionable insights, he focuses on cutting-edge Media Mix Modelling (MMM), Forecasting, and Experimentation.

Gui is particularly invested in demystifying data analytics for marketing, and his main focus is on increasing awareness, skills and critical thinking around data, marketing and statistics.

He can be seen and heard in conferences, analytics meet-ups alike or his YouTube channel.

brands we’ve worked with

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testimonials

Andrea Alessio
Senior Digital Acquisition Strategist @ ServiceNow

Krishna Prasad Bhaskaran
Head of Marketing Effectiveness @ Betway Group

Stefano Prato
Audience Analyst @ Virgin Media

Angelo DiLascio
Head of Acquisition and Biddable Media @ Kindred Group

Ripsa Keminen
Data Scientist @ Epidemic Sound

Why choose pinemarsh?

Deep Operator Experience

Built and deployed MMM/experimentation programs inside B2C, subscription, and retail brands.

Econometrics + Machine Learning + Paid Media Expertise

Not academics — practitioners who know how MMM must interface with campaign ops.

Speed and Transparency

Actionable insights in weeks, not nine-month waterfall projects.

Repeatable Playbooks

You keep the code, templates, model specs, and experiment playbooks.

Independent & Incentive-Aligned

No agency bias. No vendor lock-in. No dashboards to justify.

Learn more

how to get started

01

Free Discovery Call

Understand your measurement gaps

02

Audit & Roadmap

3–4 weeks to produce a concrete plan

03

Build or Train

choose consulting or training based on your team

Get In touch

contact us

Need support with your MMM? Book a free 30-minute call with no strings attached.