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Watch the model work. Then run it on your data.

The interactive demo is the Causality Engine dashboard on a sample ecommerce brand's data: the real causal model, the per-channel read. No account, no credit card, about three minutes.

No signup · sample data · real causal model · 3 minutes

Prefer to talk it through? Twenty minutes with Joris.

Joris walks you through the actual Causality Engine app, running on a real Shopify brand's real GA4 export, and shows you live where last-click is lying to your dashboard. Not slides. Bring your own numbers if you want them read on the call.

20 min · your GA4 data · no pixel needed

Me Gorgeous found €2K/mo of non-incremental Meta spend in their first causal read, and reallocated it.

On the call, you'll see:

The actual app, live on screen (not a deck)
A real brand's real GA4 + Shopify data, running through the causal model
Where the ad platforms' ROAS disagrees with the causal read, and by how much
Which channels to scale, which to pull back, and the budget shift the model recommends
No pixel requiredGA4 CSV upload, 5–10 min insightsGDPR compliantFull refund guaranteeEU data residencySOC 2 compliant infrastructure

Pick a time that works

20-minute call. No preparation needed, we'll walk you through everything live.

Free. No credit card. No commitment.

Book the call, and we'll send you the Me Gorgeous one-pager

Their real GA4 monetisation screen, donated by them, plus what the first causal read actually found and what they did with it. One page, no gate once you have booked.

Joris van Huët, Founder & CEO at Causality Engine

Who you meet at the demo

Joris van Huët

Founder & CEO · Utrecht, Netherlands

Founder and CEO of Causality Engine. Builds causal-inference attribution software for Ecommerce brands on GA4. Runs every demo himself.

Speaks about: Causal Attribution · eCommerce · Digital Marketing

Use cases

  • Replace last-click attribution
  • Replace a multi-touch attribution tool
  • Run a side-by-side with an existing tool
  • Validate a vendor's reported numbers
  • Pilot a new measurement methodology