For enterprise marketing leaders, Haus is a causal measurement platform that runs incrementality experiments and marketing mix models, then uses an AI agent to recommend and execute budget shifts across channels.
Presence & Market Position
Tracked · below panel floor — earned mentions are accruing toward the next scored window.
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Haus works to occupy the role of causal-measurement authority for enterprise marketing leaders — running incrementality experiments and marketing mix models as an alternative to platform-reported attribution, then extending that read into action through an AI layer that recommends and executes budget shifts across channels. It pitches CMOs and growth teams economics-trained methodology instead of dashboard reporting, aimed at defending spend decisions with causal evidence rather than platform credit. Open conversation about the company centers on its incrementality-testing approach and its move from measurement into automated execution, discussed mainly inside enterprise marketing-science circles rather than broad practitioner chatter — a footprint still early relative to its enterprise customer base.
Influ2
Factors.ai
GRIN
Lifesight
MeasuredIntuit, FanDuel, Dyson, Wayfair, Sonos, SharkNinja, Whoop, Grubhub, Oura, AG1
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Business Profile
Haus was founded in San Francisco in 2021 by a former Google product manager and data scientist, building geo-experiment measurement into a broader causal-measurement platform. It has raised venture funding from investors including Insight Partners and 01 Advisors, funding an expansion from incrementality testing and marketing mix modeling into Architect, an AI agent that acts on the causal findings. The company emphasizes methodology built by PhD economists and counts enterprise brands such as Intuit, FanDuel, Dyson and Wayfair as customers, positioning itself as the science-backed alternative to platform-reported attribution as it scales its enterprise footprint.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Haus has built its AI layer directly into the measurement product: Architect is an agent that reads the causal data, flags risks and opportunities, runs what-if scenarios, and returns budget recommendations, extending toward direct execution of spend shifts across channels. No public API, MCP, SDK, or CLI documentation is on file, so the agent surface today is the product's own interface rather than an integration point for outside agents.
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