Haus Platform

See how Haus ColdStart uses comparable KPIs to test the incrementality of new products, markets, and channels that lack historical data.

Causal Attribution uses experiments to debias attribution, giving marketers a reliable read on daily performance that isn’t based solely on clicks and views.

Marketers have long made billion-dollar budget calls on incomplete data. Architect is built to change that.

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.

Meet Causal MMM: A marketing mix model that inspires trust, provides clarity, and drives smart marketing investments.

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.

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

Causal MMM is a new product from Haus founded on incrementality experiments. Coming 2025.

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

Haus incrementality testing doesn’t rely on pixels, PII, or other data that may be vulnerable to privacy regulations.