Marketing mix modeling for DTC and Shopify brands
Marketing mix modeling (MMM) estimates how much each channel contributes to sales by modeling your whole mix at once, which makes it naturally resistant to the double-counting that breaks click-based attribution.
€99 once, excl. VAT. Full refund within 30 days, no questions asked. You keep the read.
By Joris van Huët, Founder & CEOUpdated
Historically, marketing mix modeling meant a consulting engagement measured in weeks, a spreadsheet you could not audit, and a number that arrived too late to act on.
Causality Engine is causal attribution software, the fast alternative to a mix model: it runs on your own GA4 export, from Shopify or any other store platform, and returns what each channel caused in 1–2 minutes, next to last-click, with every number checkable against your own export. Paid and organic alike: every channel in your export, measured causally.
What marketing mix modeling does
MMM looks at spend and outcomes across every channel together and attributes sales to each based on how the whole system behaves, not on who got the last click. Because it is privacy-safe and pixel-free, it kept working when iOS privacy changes and browser cookie blocking broke pixel-based tracking. The catch was always cost and speed.
You can run one yourself: Google's Meridian and Meta's Robyn are open-source mix-model frameworks, free if someone on the team can build, feed and maintain the model. If nobody can, a causal read on the export you already have answers the same budget question without the build.
A causal read vs the classic MMM engagement
The classic MMM engagement: weeks of data wrangling, a black-box model, a static deck. A causal read works differently: upload the GA4 export you already have, get a result in 1–2 minutes, run it again whenever the budget question changes, and check every number against the file. Measurement stops being an annual ritual and becomes a decision you can make this week.
| The classic engagement | Causality Engine | |
|---|---|---|
| Time to a result | Weeks of data wrangling | 1–2 minutes from a GA4 export |
| The model | A black box | Assumptions documented, a data-health score on every channel |
| Refresh | A static deck | Run it again whenever the budget question changes |
| Price | A consulting fee | €99 per read, or €299 a month for Pro |
MMM built for SMB and DTC budgets
You do not need an enterprise media budget to justify modeling your mix. Because Causality Engine runs on a standard GA4 export and prices per analysis, MMM is no longer reserved for the biggest advertisers.
Frequently asked questions
What is marketing mix modeling?
Marketing mix modeling is a statistical method that estimates each marketing channel's contribution to sales by modeling the entire mix together, using aggregate spend and outcome data rather than individual user tracking.Is MMM better than pixel-based attribution after iOS changes?
MMM does not rely on user-level tracking, so it is unaffected by pixel loss, cookie deprecation and iOS privacy changes.Do I need a big budget or a data team?
No. Causality Engine runs on your existing GA4 export and prices per analysis, so it fits SMB and DTC budgets.
Where this fits
Your platforms guess.
We run the math.
Upload a GA4 export and see what each channel caused, next to last-click, in 1–2 minutes. The read is yours to keep.
The free finding runs in your browser. Your file never leaves it. The full read is €99, refundable within 30 days, no questions asked. Prices exclude VAT.