Articles tagged: Science

What Tottenham’s collapse reveals about the right — and wrong — way to use advanced analytics.

We unpack how Haus uses covariate stratification to help enterprise streaming platforms, broadcasters, and sportsbooks accurately measure the impact of ads run during live sports.

Whether you’re actively evaluating incrementality platforms or simply curious to learn more, consider this checklist your first stop.

How automating hundreds of causal models a week – and grading them with a blind exam – yields better outcomes for businesses.

The Haus playbook for measuring tentpole brand campaigns

Haus is built on AI and machine learning that strengthens the speed, accuracy, and reliability of incrementality tests.

Now live in the Haus app, Time Tests estimate the incremental impact of a significant change to your business when test and control groups aren’t feasible.

Haus' AI-driven platform unleashes scientific rigor, reduces manual errors, and makes complex analytics accessible and actionable for every marketer.

Identification is all about teasing out real causal relationships between tactics and outcomes — and it's the backbone of Haus’ Causal MMM.

In this Q&A, John Bates Clark Medal-winning economist Susan Athey discusses why Haus is a company she just had to be a part of.

GeoFences enable you to exclude markets from your test that aren’t relevant to your business — helping you focus more deeply on the ones that are.

Based on open source mobility data collected from mobile phone GPS data, Haus Commuting Zones minimize spillover and improve test accuracy.

Haus’ exclusive Fixed Geo Tests enable marketers to rigorously measure campaigns that are traditionally difficult to quantify.

Platform creative tests may not meet the definition of a causal experiment, but they can be performance optimization tool within the bounds of the algorithm.

Brands need to have complete information to make responsible decisions like their company depends on it.

Acknowledging uncertainty enables brands to make better, more profitable decisions.

Haus’ synthetic control produces results that are 4x more precise than those produced by matched market tests.

“We ran the test of cutting spend pretty significantly and it turns out a lot of that spend was not incremental,” says Aaron Zagha, Newton Baby CMO.

Causal Attribution syncs your ad platform data with your experiment results to provide a daily read on which channels drive growth.

Not testing during your busy season may be costing you more than you think.

The media strategy that gets DTC brands from zero to one does not get them from one to ten.

5 common signs that indicate it is definitely time to start investing in incrementality.

Are you stuck wondering if you should be using 3rd party incrementality studies, ad platform lift studies, or trying to design your own? Find out here.

As platforms force more automation, the role of the media buyer is evolving. Read on to learn what to expect and what levers are left to pull.

It is profitable to ignore statistical significance when making marketing investments.

Learn which common marketing measurement tactics are accurate, precise, neither or both.

Leverage causal targeting to execute promotions that are actually incremental for your business.

Promotions, despite their potential power and ubiquity, are actually hard to execute well.

Haus transforms the way businesses make decisions.