Switch from Haus to Causality Engine
Haus uses geo-lift experiments, with Causal Attribution and Causal MMM calibrated on them. Causality Engine uses causal inference on your GA4 export. There is nothing to migrate: the first read takes 1 to 2 minutes, and you can run both side by side.
€99 once, excl. VAT. Keep Haus running while you compare.
What Haus' terms say, before you leave.
Short answer: there is nothing to migrate. Keep Haus running, upload your GA4 export, and compare the two for a month. Cancel only if the comparison says so, on the terms below.
- Contract
- Order-form term; auto-renews for the longer of 1 year or that termhaus.io/legal/terms, read
- Refunds
- Fees are non-refundablehaus.io/legal/terms, read
- Free trial or plan
- Demo only (no free trial or free plan mentioned)haus.io/pricing, read
- Billing
- No public price
- Price rises with
- Not stated on its public pages
Haus and Causality Engine, fact by fact
Competitor pricing is each vendor's publicly listed pricing as read on the date shown, and it changes without notice: verify on the vendor's own site before relying on it. Vendors without a public price are marked as such. Comparisons set Causality Engine's one-time €99 analysis against subscription models.
How to switch, in five steps.
No cancellation required yet
Keep Haus running (its terms: order-form term; auto-renews for the longer of 1 year or that term). Causality Engine reads your GA4 CSV export, so nothing conflicts and no data moves between the two.
Upload your GA4 CSV (no integration required)
Export 12 months or more of GA4 data and upload it. Longer reads better. No OAuth, no pixel, no code, no DNS changes. Shopify native is on the roadmap.
Run your first analysis
What each channel caused, next to last-click, with a data-health score on each, 1 to 2 minutes after the upload. Compare it with what Haus was telling you.
Evaluate side by side
Run both for a month and compare them channel by channel. Where they disagree is where a budget decision is at stake.
Cancel Haus when ready
Only if the side-by-side says you should. On refunds, Haus states: fees are non-refundable. Nothing in Causality Engine depends on Haus being gone.
What to weigh before you leave Haus
Haus uses geo-lift experiments, with Causal Attribution and Causal MMM calibrated on them and is best for brands ready to run geo experiments, from self-starter DTC on Shopify and Amazon to large organizations. Where it differs from a causal read:
- No public price; every plan starts with a demo
- Each test runs for weeks: 2 to 3 for search, 6 to 8 for Meta reach, by its own guidance
- Holdout tests keep the tested ads out of control regions while they run
- Basics runs geo tests in the US only; international testing starts at Core
Questions about leaving Haus
Can I cancel Haus at any time?
What Haus states: Order-form term; auto-renews for the longer of 1 year or that term.Source: haus.io/legal/terms, read .What does Haus say about refunds?
What Haus states: Fees are non-refundable.Source: haus.io/legal/terms, read .Does Haus have a free trial or plan?
What Haus states: Demo only (no free trial or free plan mentioned).Source: haus.io/pricing, read .Can I run Haus and Causality Engine side by side?
Yes. Causality Engine installs nothing on your site. It reads the GA4 export you already have, so it runs on top of any tool here without touching its setup. The one condition: GA4 runs on your store too.
Keep reading
Four named Dutch brands and our own store, with the figures they let us publish: the case studies.
GA4 export uploadNo pixel1–2 minutes to a first read30-day refund, no questions asked
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.