Haus Platform
News, launches, and deep dives from the Haus platform.
Causal Intelligence, Explained: How AI Powers Incrementality Testing at Haus
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Haus is built on AI and machine learning that strengthens the speed, accuracy, and reliability of incrementality tests.
Causal Intelligence: How AI Works in Haus

Haus' AI-driven platform unleashes scientific rigor, reduces manual errors, and makes complex analytics accessible and actionable for every marketer.
Why Identification Matters: Changing How We Think About MMM
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Identification is all about teasing out real causal relationships between tactics and outcomes â and it's the backbone of Hausâ Causal MMM.
GeoFences: Precise Geographic Control for Marketing Experiments
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GeoFences enable you to exclude markets from your test that arenât relevant to your business â helping you focus more deeply on the ones that are.
Run Cleaner, More Accurate Holdout Tests with Haus Commuting Zones
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Based on open source mobility data collected from mobile phone GPS data, Haus Commuting Zones minimize spillover and improve test accuracy.
Haus Launches Fixed Geo Tests to Measure Billboards, Regional, and OOH Activations
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Hausâ exclusive Fixed Geo Tests enable marketers to rigorously measure campaigns that are traditionally difficult to quantify.
Beyond the Buzzwords: Why Transparency Matters in Incrementality Testing
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Brands need to have complete information to make responsible decisions like their company depends on it.
Matched Market Tests Don't Cut It: Why Haus Uses Synthetic Control in Incrementality Experiments
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Hausâ synthetic control produces results that are 4x more precise than those produced by matched market tests.
2025: The Year of Privacy-Durable Marketing Measurement
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Haus incrementality testing doesnât rely on pixels, PII, or other data that may be vulnerable to privacy regulations.

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