Looking for a Haus alternative?
Haus uses geo-lift experimental design. Causality Engine asks a different question: upload your GA4 CSV export and our proprietary causal-inference model tells you which channels actually drove revenue, not just which ones were present at the click. €99 to start. 5–10 minute insights. No pixel.
Haus starts at
Per-experiment ($10K–$30K each). Causality Engine starts at €99 one-time. Upload your GA4 CSV. No subscription. No platform integration required.
| Haus | Causality Engine | |
|---|---|---|
| Price | $10,000/experiment | €99 one-time |
| Method | Geo-lift experimental design | Causal inference |
| Setup | 4–8 weeks per experiment | 2 minutes |
| Pixel? | No | No |
| Proves causation? | No | Yes |
Why brands switch from Haus
- $10K+ per experiment
- Weeks of execution time
- Must pause spend to test
- Point-in-time snapshots only
What Causality Engine does differently
- Always-on causal measurement
- No spend pausing
- Continuous not point-in-time
- €99 to start vs $10K
Try Causality Engine for €99
One-time analysis. No subscription. See what actually works in 5–10 minutes. Full refund if you don't see the value.
“We discovered 34% of our revenue was hidden by last-click. CE found it in minutes.”
Maarten V., OFFFTRACK
“€47K/month our dashboards never showed. We reallocated budget the same week.”
Simone K., The Two Sisters
Last-click guesses.We run the math.
Causal attribution for Shopify brands. Upload your GA4 export, see which channels really drove revenue in 5–10 minutes. €99, pay-per-use. Pro at €299/mo when you want it continuous.
The math behind your marketing.
Built for Ecommerce brands using GA4.
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