Haus envisions a future where every business, regardless of size, wields the power of scientific rigor in their marketing decisions through accessible, world-class causal inference tools. We are driven by the conviction that marketing effectiveness must be measured with precision and transparency, empowering brands to channel resources toward genuine growth and impact.
At the core of Haus is a fusion of advanced causal analytics, automation, and privacy-forward methodologies designed for a rapidly evolving digital landscape. By democratizing sophisticated measurement capabilities historically reserved for elite global players, we enable a new era of data-driven marketing that thrives on experimental science rather than mere correlation.
Our mission is to redefine marketing intelligence, equipping decision makers with actionable insights grounded in rigorous experimentation and statistical innovation. In doing so, we are shaping a future where marketing investments are optimized with confidence, creativity, and scientific integrity, unlocking unprecedented value for brands and consumers alike.
Our Review
When we first encountered Haus, we were immediately struck by how they're tackling one of marketing's biggest challenges: proving what actually works. In a world where correlations are often mistaken for causation, Haus brings scientific rigor to marketing measurement – and does it with impressive style.
A Netflix-Grade Solution for Everyone
What caught our attention is how Haus democratizes the sophisticated measurement tools previously exclusive to tech giants. The platform essentially gives any brand access to the same caliber of marketing science that Netflix and Amazon use internally. That's a game-changer for smaller brands trying to compete in today's digital landscape.
Smart Science Made Simple
We're particularly impressed by how Haus makes complex concepts accessible. Their suite of tools – from Geo Lift experiments to Causal MMM – automates the heavy lifting of scientific measurement. The interface manages to present sophisticated data in ways that don't require a PhD to understand.
Perfect Timing for Privacy Changes
With third-party cookies crumbling and privacy regulations tightening, Haus's approach feels especially relevant. Their privacy-centric design and focus on aggregate data rather than individual tracking positions them perfectly for marketing's privacy-first future.
Who It's Best For
From what we've seen, Haus shines brightest for brands spending enough on marketing to care about optimization but who can't afford to build in-house data science teams. Their case studies with companies like ThredUp and Dr. Squatch show impressive results in helping brands understand which half of their marketing budget is actually working.
While the platform isn't cheap, the potential ROI from better spending decisions makes it a compelling investment for growing brands serious about measurement. If you're tired of relying on last-click attribution and looking for true causation in your marketing efforts, Haus delivers the goods.
Features
Geo Lift: On-demand geographic incrementality experiments
Causal MMM (Media Mix Modeling): Causal experiment-informed media planning
Causal Attribution: Daily incremental impact reporting
Synthetic Controls & Stratified Sampling: Advanced statistical techniques for unbiased causal inference
Automated setup and intuitive visualizations for non-technical users
FAQs
Ploy was founded in 2024.
Haus is the causal marketing platform top businesses trust to optimize billions in ad spend worldwide. With support from PhD economists, data scientists, and growth experts, Haus’ AI-driven technology translates complex marketing measurement into clear action and outcomes, enabling brands like Dyson, Wayfair, Sonos, Fanduel, SharkNinja, and Intuit to optimize spend, accelerate growth, and make smarter marketing decisions at scale. Haus was named a LinkedIn Top Startup in 2024 and 2025 and has been featured in outlets like AdExchanger, Axios, Business Insider, Marketing Brew, and Wall Street Journal.
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