Understand the model.
Make a better decision.
Five connected learning paths, with worked examples, interactive tools and practical checks. Start with your question, then follow the evidence.
Build the whole picture
Marketing mix modelling
Choose a measurement question, audit your data and learn how an MMM turns channel activity into a budget decision.
Find what marketing caused
Incrementality and experiments
Design holdouts and geo tests, understand statistical power and use experiments to challenge attribution and calibrate MMM.
Understand the assumptions
How marketing mix models work
Explore adstock, saturation, baselines and confounding with visual explanations and interactive model mechanics.
Turn evidence into action
Marketing budget decisions
Compare marginal returns, contribution margins and bounded scenarios before moving marketing budget.
Build a reproducible workflow
MMM tools, code and platforms
Choose between R, Python, spreadsheets and managed MMM platforms, with tutorials, datasets and validation checkpoints.
Turn understanding into practice
Your next step: make a better marketing decision.
Work through realistic business problems with guided lessons, practical templates and simulations.
Browse the complete MMM library or explore the marketing blog.