Compare

Odins vs Haus

Haus built its name on geo experiments and now sells an MMM built on top of them. Odins starts from the model and takes your tests into it. Here is what Haus does well, and where the two approaches part ways.

Book a demo See the comparison

Reviewed October 2026 · sources cited on this page

Odins

Managed marketing investment platform

Bayesianfully manageddaily datamonthly retrain

Haus

Incrementality platform

Geo experimentsCausal MMMweekly updates

At a glance

Side by side.

The short version of the whole page. Details and sources below.

Odins

Haus

What it is

OdinsA managed marketing investment platform: data, model, recommendations and a team behind them

HausAn incrementality platform: geo experiments, Causal MMM, Causal Attribution and an AI agent called Architect

Methodology

OdinsBayesian MMM end to end, priors set with your team, test results taken into the model

HausGeo experiments on synthetic controls; the Causal MMM is described as grounded in those experiments; its inference method is not stated publicly

Cadence

OdinsDaily data flow, monthly retrain and reviewed recommendation; scenarios and forecasts any time

HausCausal MMM updated weekly; experiments run on demand

Segment

OdinsAdvertisers across industries, from EUR 1M to several hundred million a year in marketing budget

HausPlans from Shopify brands to large enterprises; customers manage over 30 billion dollars in yearly ad spend, by their count

Offline and drivers

OdinsTV, radio, OOH and print in the same model as digital, next to pricing and promotions

HausThe MMM factors in pricing, promotions, launches and holidays; fixed geo tests for billboards and OOH

Tests

OdinsResults from your lift and geo tests taken into the model; pulse tests proposed where the model is uncertain

HausExperiments are the core product, and in their words they "end the debate" when model and test disagree

Granularity

OdinsBudget size and allocation per channel; bidding stays with the ad platforms

HausCausal Attribution reports incrementality down to individual ads

Human review

OdinsA person reviews every recommendation before you see it

HausExperiments configured with Haus; the Architect agent prioritizes weekly budget recommendations; managed services sold as an add-on

Cost

OdinsSubscription priced for the budget it optimizes, team included

HausPricing not published; four plans, with extra Causal MMM models among the add-ons

Time to value

OdinsFirst verified model in 4 to 6 weeks from kickoff, data collection and structuring included

HausTime to a first Causal MMM not stated publicly

Haus facts: haus.io home, Causal MMM, pricing and about pages and the Haus blog, read October 2026. Haus does not state publicly whether its MMM is Bayesian.

The honest read

Credit first: Haus made experiments the standard to beat.

Few vendors have pushed incrementality testing as hard, or explained it as clearly. If your team argues about what a channel really adds, Haus gives a direct answer.

Geo experiments built on synthetic controls, with several models weighted by how well they predict a placebo period before the test
A clear point of view: experiments are the source of truth, and the MMM is built on them
A Causal MMM updated weekly, with pricing, promotions, launches and holidays factored in
Enterprise traction: customers who together manage over 30 billion dollars in yearly ad spend, by Haus's own count

The difference

Start from the model, then test where it is unsure.

Haus starts from the experiment and builds the model on top. Odins starts from one Bayesian model per market for the whole budget, offline media included, and uses tests to settle what the data cannot. Both take tests seriously. The question is which one sets the budget.

Budget size and the split between channels come from one model, with your lift and geo test results taken into it
Where the model is uncertain about a channel, the reviewed recommendation proposes a structured test, often a pulse test, with its expected cost stated up front
Pulse tests vary one channel's spend over weeks, so they work in a market that is hard to split into test and control regions
TV, radio, OOH and print sit in the same model as digital, with priors set with your team in 2 to 3 working sessions

Channel contribution, 80% ranges

from the posterior

Search 14 to 16% optimize

Social 9 to 13% optimize

Display 2 to 9% test first

A tight range is a decision. A wide range is a test plan, with cost boundaries.

The choice

Who should choose which.

Both respect experiments. Decide which one you want setting the budget: the test or the model.

Choose Haus if

Experiments are how your company settles budget arguments, and you want them run at scale
You sell across a large country with many comparable regions to split into test and control
You want incrementality reads down to individual ads next to the model

Choose Odins if

The first question is how much to spend in total and where, across online and offline media
Your market is one national weekly series, where geo splits are hard and pulse tests and priors do the work
You want the data work, the model and a reviewed recommendation handled for you, with scenarios you run yourself any time

The honest overlap

We overlap more than the labels suggest: Haus now sells MMM, and Odins takes test results into its model. The difference is the starting point. Ask each vendor what happens to next month's budget when the model and a test disagree.

FAQ

Frequently asked questions.

Is Haus a marketing mix model?

Haus started as an incrementality testing platform and now also sells Causal MMM, which it describes as grounded in its experiments and updated weekly. It does not state publicly whether the model is Bayesian. Odins is a Bayesian MMM first, and takes test results into the model.

How much does Haus cost?

Haus does not publish prices. Its pricing page lists four plans, from a tier for Shopify brands to enterprise, with extra Causal MMM models and managed services among the add-ons. Odins is a subscription priced for the budget it optimizes, with the team included.

Can Odins use our Haus test results?

Yes. Results from lift tests and geo tests, from Haus or any other tool, are taken into the model. If you are planning a test, tell us beforehand and we give input on the design, so the result is useful for the model too.

Haus tests by region. What does Odins do in a market that is hard to split?

Many markets have one national weekly series and few comparable regions. There we use pulse tests: one channel, one change, spend varied over weeks while everything else stays stable. The saturation curves tell us how much spend it takes to learn something, and we state what the test is expected to cost before you run it.

Incrementality testing or MMM: which do we need?

For budget size and the split between channels, the model is the source, and tests sharpen it where it is unsure. Each platform's own tracking stays the best tool for optimizing inside that platform. We explain how the three fit together in our guide to triangulation.

What are the best alternatives to Haus?

It depends on what you need from the model. We compared five options, with sources and who each one fits, on a separate page: the best Haus alternatives. Odins is on the list, and we say so up front.