Whose H1?
Haus Differentiators
MMM Fill in the Blank
200

The first platform to tie media experimentation with agile marketing mix modeling so you can treat your marketing plan like an investment strategy.

What is LiftLab

200

This statistical method allows Haus to vastly improve the fit between test and control groups compared to standard geo-tests

What is Synthetic Controls

200

MMM heavily relies on _____, the statistical relationship, whether causal or not, between any two random variables

What is correlation

400

Optimize your media portfolio with the leading AI-powered incrementality measurement platform

What is Measured

400

Haus is notably not reliant on this tracking technology that is used to identify someone who visits your website after clicking an ad

What are Cookies or Pixels

400

Because they require so much data to identify relationships, insights from an MMM can easily become _____

What is outdated / irrelevant / stale

600

Revolutionizing media analytics with advanced AI solutions

What is Prescient AI

600

This more archaic form of geo-testing is employed by Haus' incrementality competitors

What is Matched Market

600

If you plan to expand ____ in the future, MMM may be a poor fit for you

What are budgets or channels

800

Multi-touch attribution and media mix modeling, both powered by industry-leading machine learning.

What is Northbeam

800

This type of machine learning model is used as an alternative to holdout testing by some Haus MMM competitors

What is Causal AI

800

MMM tends to build in many ______ which drive the results of the model  even though they are not visible to customers

What are assumptions

1000

Make smarter marketing decisions with Causal AI incrementality measurement

What is INCRMNTAL

1000

This statistical method allows Haus to limit the extent to which outliers can bias the results of a test

What is Model-Based Winsorization

1000

A type of model validation called _______ is used by MMM vendors to tout that their model is accurate, even though it does not necessarily indicate the model can be used for future prediction

What is back-testing or out-of-sample testing