Causal MMM

It’s possible to like your MMM.

Know exactly where your next dollar should go with the receipts to back it up.

Trusted by global companies managing $30B+ in annual ad spend

Intuit
Oura
AG1
Fox One
SharkNinja
Whoop
Dyson
Wayfair
Ruggable
Sonos
Buck Mason
BetMGM
Grubhub

Go to your next budget meeting knowing exactly where to cut, what to scale, and why.

~20%
Β 
CAC reduction

OluKai unlocked a 20% CAC reduction overnight with a channel reallocation

228%
Β 
above iROAS profitability benchmark

How StockX Finance and Marketing teams built an unstoppable playbook

Weekly
Β 
MMM reads built into planning cycle

Sunday used their MMM to find efficiencies every week

Explainable models, not a black box.

Other MMMs

You get a report, but don’t know how your model got there β€” and it doesn’t match your experiments.

Haus’ Causal MMM

Get direct access to your model. Let experiments end the debate.

Weekly data that moves as fast as your business.

Other MMMs

Planning cycles are only getting faster. Most MMMs can’t keep up.

Haus’ Causal MMM

We update your model weekly, so your data moves as fast as your business.

Turn insights into decisions. Know if it worked.

Other MMMs

Most MMMs hand you a report with unrealistic recommendations, not next steps.

Haus’ Causal MMM

Map out scenarios, then let Architect, an agentic recommendation engine, turn each scenario into an action plan.

From omnichannel views to product-line details.

Other MMMs

Report on the entire business as a whole.

Haus’ Causal MMM

A number for every decision you make, at the granularity you need.

Combining GeoLift with causal modeling, Haus has helped us see what was truly driving growth. And as a result, allowed for us to make faster, accurate decisions when it mattered most.
Ben Bolognini
VP of Ecommerce
,
OluKai
From a finance lens, Haus is a pretty easy pitch... We are working together to make smarter investment decisionsβ€”and now we have the right data to do it.
Ellyn Riebau
Senior Director of Marketing Finance
,
StockX
In a highly seasonal business where every weekend matters, lagging signals aren’t an option. Haus delivers what traditional MMMs can’t β€” a weekly causal read that allows us to adjust our mix immediately based on what’s truly driving growth.
Luke Cheng
Director of Growth
,
Sunday

Clear signal delivers decision-ready data

Ground the model in experiments

Incrementality Experiments bring clear, causal signal on what’s really moving your business into your MMM.

Add your business context

Pricing, promotions, launches, holidays, and organic activity are all factored into your Β model and refreshed weekly.

Plan your mix with Causal MMM

Causal MMM translates complex, cross-channel marketing data into actionable budget recommendations.

Weekly results surface where to scale, where to pull back, and how each decision impacts your media mix.

Act fast with the Architect Agent

Architect, Haus’ Causal Marketing Agent, prioritizes weekly budget recommendations based on what moves will make the most impact.

See how Causal MMM can help you make smarter marketing investments