Is Haus Causal Attribution the same as Causality Engine?

No. Both aim at what a channel caused rather than what a platform credits it with, and they get there differently. Haus runs geo experiments and uses the results to adjust your platform reporting, refreshed daily. Causality Engine applies causal inference to the GA4 history you already have, with no test to run, and sets what each channel caused next to what last-click gave it.

Is a Haus geo test more accurate than a causal read of GA4 data?

A well-designed, well-powered geo test is the stronger evidence, because randomising regions removes confounders instead of adjusting for them. A read of observational history is bounded by the assumptions in the model, which is why ours grades itself with a data-health score on every channel. The practical question is which one you can run now, and on what budget.

Can I use Causality Engine and Haus together?

Yes, and the order matters. Run a €99 read across every channel first to see which ones look like they caused little, then spend the experiment budget testing those. Testing everything is slow and costly; testing the suspects first is not.

How much does Haus cost compared to Causality Engine?

Haus publishes no price. Its pricing page lists four plans, Basics for Shopify, Core, Plus and Enterprise, and each starts with a demo. Causality Engine is €99 per read, excluding VAT, with a full refund within 30 days, no questions asked, or €299 a month for Pro.

Does Haus work for brands outside the US?

Its pricing page lists Basics, the plan for self-starter DTC brands on Shopify and Amazon, as US only, and international testing on Core, Plus and Enterprise. Causality Engine needs no regions at all: it reads one GA4 export.

Do I have to hold back ad spend to use Causality Engine?

No. A geo holdout keeps the tested ads out of control regions so there is something to compare against. We read the history you already have, so nothing is switched off and no region goes without ads to produce the answer.

Both say causal. One runs tests, one reads your history.

Choose Haus when you can hold ads back in some regions for weeks at a time, the budget decision is big enough to justify a measurement partner, and you want daily numbers calibrated by real experiments. Choose Causality Engine when you want an answer today from the spend you have already made, without a demo or a test to design.

Get your first finding free

€99 once, excl. VAT. Keep Haus; use us as the causal second opinion.

Same question, different answer. Often the opposite answer.

Short answer: Keep Haus. Causality Engine is not a replacement for it: it installs nothing and reads the GA4 export you already have, so it adds a read of what each channel caused on top of Haus' geo-lift experiments, with Causal Attribution and Causal MMM calibrated on them, for €99.

Compatible with Causality Engine: Yes. It installs nothing on your site; the one condition is GA4.

Causality Engine compared with Haus
Compared on	Causality Engine	Haus
Question answered	What did each channel cause, across your history?	What did this channel cause in the test, carried into daily reporting?
Method	Causal inference on existing GA4 history	Geo experiments, with Causal Attribution and Causal MMM calibrated on them
Evidence strength	Observational, graded by a data-health score	Experimental: GeoLift randomises test and control regions
Held back to learn	Nothing	In a holdout test, the tested ads in the control regions
Time to first number	1 to 2 minutes	Weeks per test: about 2 to 3 for search, 6 to 8 for Meta reach
Price	€99 per read · €299/mo ProExcl. VAT	No public price; four plans, each through a demohaus.io/pricing, read 2026-09-26
Where it runs	Ecommerce brands on GA4, on any store platform	Basics: geo tests in the US only; international from Core

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.

Disclosure: Causality Engine sells the €99 read compared on this page. Facts about Haus come from its own pages, linked where they appear.

Before you pay for Haus: one causal read of your own GA4 export, €99 once, refundable within 30 days. See your first finding free

Every fact, sourced. And why you can keep Haus.

Scroll the table sideways for every column.

Causality Engine compared with Haus: data, measurement, buying, company and reviews. Vendor facts read 12 October 2026, each with its source below the table.
Compared on	Causality EngineThe layer on top	HausIncrementality experiments, with Causal Attribution and Causal MMM built on them
Compatible with Causality Engine	It is the layerReads your GA4 export	YesKeep Haus, add the read
Pay once, no subscription	Yes€99 per read; Pro at €299 a month is optional	No public priceQuoted through sales
Price stays flat as you grow	Yes€99 a read, whatever your revenue or ad spend	Not stated
Money back if it does not help	YesFull refund within 30 days, no questions asked	Fees are non-refundable¹
Method	Causal inference on your GA4 export	Geo-lift experiments, with Causal Attribution and Causal MMM calibrated on them
Starting price	€99 once, excl. VAT	Custom (quote)haus.io/pricing, read 2026-09-26
Pricing model	€99 per read, or Pro at €299 a month	Four plans (Basics for Shopify, Core, Plus, Enterprise), each through a demo; no public price
Setup	Upload a GA4 export; results in 1 to 2 minutes	Guided onboarding; each test runs 2 to 3 weeks for search, 6 to 8 for Meta reach (vendor guidance)
Best for	Ecommerce brands on GA4 spending on two or more channels	Brands ready to run geo experiments, from self-starter DTC on Shopify and Amazon to large organizations
How it gets your data
Needs its own pixel, tag or SDK	NoNothing to install	No
Works with Google Analytics 4	YesA GA4 export is the input	Not stated
Native store integrations	Any store that runs GA4Shopify, WooCommerce, Shopware, Magento or a custom build	Shopify, Amazon²
Server-side tracking or conversion APIs	NoIt reads data you already collect	Not stated
What it measures
Multi-touch attribution	NoCausal attribution: what each channel caused	Not stated
Marketing mix modelling	No	Yes³
Incrementality or holdout tests	NoNo test to run	Yes⁴
Post-purchase surveys	No	Not stated
How you buy it
Self-serve sign-up	YesUpload at /start	No⁵
Free trial or free plan	First finding freeThe €99 read is refundable within 30 days	Demo only (no free trial or free plan mentioned)⁶
Billing terms	None for the readPro is billed monthly, cancel any time	Order-form term; auto-renews for the longer of 1 year or that term⁷
Who makes it
Headquarters	Utrecht, Netherlands	San Francisco, United States⁸
Founded	2023	2021⁹
States EU data hosting	YesPrimary infrastructure in the EU, per our privacy policy	Not stated
What reviewers say
G2	Not listed yet	Not stated
Capterra	Not listed yet	Not stated
Shopify App Store	No appNothing to install	Not stated

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. “Not stated” means we could not find it on the vendor's own pages or listings on 12 October 2026; it does not mean the feature is missing.

Sources, read 12 October 2026

1. haus.io/legal/terms: “Except as otherwise expressly provided for under this Agreement or as required by law, all Fees are nonrefundable.”
2. haus.io/pricing: “Measure the incremental revenue and orders your marketing drives via Shopify and Amazon”
3. haus.io/pricing: “Causal MMM Media Mix Modeling built on your experiments to evaluate your full channel mix”
4. haus.io/pricing: “Run geo-based tests on major ad platforms (e.g., Meta, Google, TikTok) in the US”
5. haus.io/pricing: “Basics for Shopify Best for self-starter DTC brands selling via Shopify and Amazon. Get a demo”
6. haus.io/pricing: “Basics Get a demo Core Get a demo Plus Get a demo Enterprise Get a demo”
7. haus.io/legal/terms: “Customer's subscription will automatically renew for the longer of one year or the subscription term indicated in the Order Form.”
8. linkedin.com/company/haus-analytics: “Headquarters San Francisco, CA”
9. linkedin.com/company/haus-analytics: “Founded 2021”

Every tool we track, on every fact · The same facts as JSON

The short version. What each one is for.

Haus is an incrementality platform built on experiments. Its GeoLift tests assign test and control regions by random stratified sampling, then compare the regions that saw your ads with the regions that did not. It carries those results into daily reporting it calls Causal Attribution, which adjusts your platform numbers for incrementality, and into Causal MMM on its Plus and Enterprise plans. A well-run geo experiment is stronger evidence of what a channel caused than a read of past data, ours included. We are not going to pretend otherwise.

The trade is time, access and what the test holds back. Haus publishes no price: each of its four plans, from Basics for Shopify to Enterprise, starts with a demo, and Basics runs geo tests in the US only. By Haus's own guidance a test runs about 2 to 3 weeks for search and 6 to 8 weeks for Meta reach campaigns, and in a holdout test the control regions go without the tested ads while it runs.

Causality Engine answers from the other end: causal inference on the GA4 history you already have. No test to design, no region held back, nothing to install. What each channel caused, next to what last-click gave it, with a data-health score and a next step for every channel, in 1 to 2 minutes, for €99 once.

Which one is the right call for your situation.

Choose Haus when

you can hold ads back in some regions for weeks at a time, the budget decision is big enough to justify a measurement partner, and you want daily numbers calibrated by real experiments. If a major budget line turns on the answer, run the experiment. Inference on observational data is not a substitute for a well-powered randomised test.

Choose Causality Engine when

you want an answer today from the spend you have already made, without a demo or a test to design. It also works as the cheap first pass: a €99 read shows which channels look like they caused little, and the experiment budget then goes on confirming those. That order costs less and tests the right things.

Take it to your CFO.

A measurement partner priced through a demo, with weeks of holdout behind each answer, against €99 on a card and an answer in 1 to 2 minutes, refundable within 30 days. If the read and a later geo test disagree, you learned that for €99.

Haus: statements and references

Laid out like a Wikidata item: each statement is a value with the reference it rests on, the vendor’s own words, the page they are on and the day we read it. Nothing here is our opinion; what nobody could source is left out. Causality Engine follows as its own item, from our own pages. Each item is also a JSON file.

Haus

Brands ready to run geo experiments, from self-starter DTC on Shopify and Amazon to large organizations

As JSON

Property	Value	Reference
instance ofP31	software (Q7397)	haus.io
official websiteP856	https://www.haus.io	haus.io
starting price	Custom (quote)	haus.io, retrieved 26 September 2026
method	Geo-lift experiments, with Causal Attribution and Causal MMM calibrated on them	Causality Engine’s vendor registry
native store integrationsP400	Shopify, Amazon	“Measure the incremental revenue and orders your marketing drives via Shopify and Amazon”haus.io, retrieved 12 October 2026
marketing mix modelling	Yes	“Causal MMM Media Mix Modeling built on your experiments to evaluate your full channel mix”haus.io, retrieved 12 October 2026
incrementality or holdout tests	Yes	“Run geo-based tests on major ad platforms (e.g., Meta, Google, TikTok) in the US”haus.io, retrieved 12 October 2026
self-serve sign-up	No	“Basics for Shopify Best for self-starter DTC brands selling via Shopify and Amazon. Get a demo”haus.io, retrieved 12 October 2026
free trial or free plan	Demo only (no free trial or free plan mentioned)	“Basics Get a demo Core Get a demo Plus Get a demo Enterprise Get a demo”haus.io, retrieved 12 October 2026
billing terms	Order-form term; auto-renews for the longer of 1 year or that term	“Customer's subscription will automatically renew for the longer of one year or the subscription term indicated in the Order Form.”haus.io, retrieved 12 October 2026
headquartersP159	San Francisco, United States	“Headquarters San Francisco, CA”linkedin.com, retrieved 12 October 2026
foundedP571	2021	“Founded 2021”linkedin.com, retrieved 12 October 2026

Causality Engine

Causal marketing attribution for ecommerce, read from a GA4 export (this site; the statements below are ours, from our own pages)