Pillar 1 — Marketing Data Science

Measure the True ROI of Every Marketing Dollar

Most brands are flying blind. Platform dashboards tell you what happened inside their own system — not what actually drove revenue. We build the statistical models that tell you the truth, so you can stop wasting budget and start investing with confidence.

What We Offer

Marketing Data Science Services

From full Bayesian Media Mix Models to A/B testing frameworks — rigorous measurement for every stage of your marketing analytics maturity.

In-House MMM BuildMost Popular
A complete Bayesian Media Mix Model built and deployed inside your organization. You own the model, the dashboards, and the insights — permanently.
  • Bayesian MMM on PyMC-Marketing
  • Geometric adstock + Hill saturation
  • Channel ROI decomposition
  • MarketMiX Dashboard (insights)
  • ResponseOptix (budget optimizer)
  • Team training & documentation
  • 30-day post-delivery support
Get Started →
MMM Strategy Session
Expert direction on your measurement approach — before committing to a full build. Ideal for teams auditing their current setup and data readiness.
  • Marketing channel & data audit
  • Measurement gap analysis
  • MMM readiness assessment
  • Budget reallocation recommendations
  • 2 sessions + written summary
Get Started →
Attribution & Analytics
Multi-touch attribution modelling, A/B testing, campaign analytics, and customer LTV modelling for teams that want to go deeper than last-click.
  • Multi-touch attribution models
  • A/B test design & analysis
  • Campaign performance analytics
  • Customer segmentation
  • Lifetime value modelling
Get Started →
The Process

How It Works

A clear, structured process from your first call to a working Bayesian MMM platform running inside your organisation.

1

Discovery Call

We review your marketing mix, data availability, and goals — and confirm your data is model-ready.

2

Data & Config

We audit your historical spend and sales data, set up your data pipeline, and configure the model parameters specific to your channels.

3

Model Build & Dashboard

We build and train the Bayesian MMM inside your environment and deliver two interactive dashboards: model insights and budget scenario optimizer.

4

Handover & Training

We deliver channel ROI findings, budget recommendations, and train your team to run, update, and interpret the model independently.

Our Platform

The MarketMiX Platform

We built MarketMiX on PyMC-Marketing — the same open-source Bayesian framework developed by Meta and Google. It runs inside your environment, on your data, and your team owns it completely when we're done.

  • Bayesian MMM (PyMC-Marketing)
  • Geometric Adstock (l_max=8)
  • Hill Saturation for diminishing returns
  • JAX/Numpyro NUTS sampler
  • MarketMiX Dashboard — model insights
  • ResponseOptix — budget scenario optimizer
Book a Discovery Call
Our Methodology
The technical stack behind every engagement
Bayesian MMMPyMC-MarketingGeometricAdstockHill SaturationBudget OptimizationScenario PlanningJAX/NumpyroInteractive DashboardCausal InferencePython
From the Blog

Marketing Measurement Insights

Ready to see what's actually driving your revenue?

Book a free 30-minute call. We'll look at your marketing data and tell you exactly what MMM could unlock for your business.

Book a Free Call