# haus.io

> AI-optimized mirror of haus.io containing 50 pages totalling 53,622 words of clean markdown content, structured data, and semantic HTML. Original source: https://haus.io. Last updated: 2026-08-04T08:52:45.452Z.

Each page is available as HTML (with JSON-LD structured data) and Markdown (text-only, ideal for LLMs and RAG).

## Homepage

- [Haus | AI-Powered Causal Marketing](/content/site-root.html): Make smarter enterprise marketing investments with Haus’ AI-powered causal marketing platform and expert guidance. (450 words)

## Articles & Blog Posts

- [Customer stories | Haus](/content/customers/index.html): Learn how Haus has empowered existing customers to understand how marketing activities impact their business, and hear perspectives from our team of world experts. (495 words)
- [Haus Branding Guidelines](/content/brand/index.html): Download Haus brand assets including logos, color palettes, and typography guidelines. Access SVG and PNG files for proper brand implementation. (272 words)
- [Open Haus Podcast](/content/open-haus/index.html): Learn how Haus has empowered existing customers to understand how marketing activities impact their business, and hear perspectives from our team of world experts. (724 words)
- [Haus Incrementality Experiments | Incrementality Testing for Paid Marketing](/content/experiments/index.html): Configure regional test & control experiments and measure incrementality through a self-serve platform. Learn more. (622 words)
- [Understanding Google Ads incrementality testing | Haus](/content/article/google-ads-incrementality-testing/index.html): Incrementality testing measures the true causal impact of Google Ads by comparing results when campaigns run versus when they don't, revealing actual business lift beyond attribution correlations. Discover implementation strategies, testing methodologies, data requirements, and optimization techniques to transform marketing from faith-based to evidence-based decision making. (1,835 words)
- [FAQs](/content/faqs/index.html): Learn how Haus has empowered existing customers to understand how marketing activities impact their business, and hear perspectives from our team of world experts. (1,233 words)
- [Haus Growth Lab LA 2026](/content/growth-lab-la/index.html): Jump into the conversation at the Haus Growth Lab, where the world’s leading growth marketers measure what matters and find the perfect mixture to grow their business. (374 words)
- [Haus Growth Lab NY 2026](/content/growth-lab-ny/index.html): Jump into the conversation at the Haus Growth Lab, where the world’s leading growth marketers measure what matters and find the perfect mixture to grow their business. (343 words)
- [How Mejuri Discovered What Was Really Driving Sales](/content/case-studies/how-mejuri-discovered-what-was-really-driving-sales.html) (631 words)
- [Agencies](/content/agencies/index.html) (577 words)
- [Careers](/content/careers/index.html): Haus Analytics Jobs (819 words)
- [10 Experiments | Haus](/content/pages/10experiments/index.html): Configure regional test & control experiments and measure incrementality through a self-serve platform. Learn more. (288 words)
- [Incrementality Impact Analysis | Haus](/content/pages/incrementalityimpactanalysis/index.html): Configure regional test & control experiments and measure incrementality through a self-serve platform. Learn more. (277 words)
- [Understanding Meta incrementality testing | Haus](/content/article/meta-incrementality-testing/index.html): Discover how Meta incrementality testing uses controlled experiments to measure the true causal impact of your advertising, revealing which conversions were genuinely driven by your ads versus those that would have happened organically. Includes implementation strategies, sample size requirements, and optimization techniques. (1,839 words)
- [Haus Incrementality Testing](/content/use-cases/incrementality/index.html): Measure the incremental impact of a channel or tactic with a two or three cell experiment, using a control group to establish causation. (317 words)
- [Jobs](/content/careers/jobs/index.html): Haus Analytics Jobs (179 words)
- [Haus Diminishing Marginal Return Testing](/content/use-cases/optimal-spend-level/index.html): Run multi-cell experiments with Haus to draw your marginal return curve and identify the optimal spend level for each marketing channel. (422 words)
- [Causal MMM](/content/causal-mmm/index.html): Causal MMM is the first marketing mix modeling you can trust because it's grounded in the most reliable source of truth: incrementality experiments. (362 words)
- [Haus New Channel Launch Testing](/content/use-cases/new-channel-launch/index.html): Maxed out in your key channels and need to diversify your media mix? Test new channels quickly to understand which ones can deliver ROI for your business. (463 words)
- [Haus Amazon and Retail](/content/use-cases/amazon-and-retail/index.html): Haus integrates with all your sales channels to report total lift across all sales channels for every experiment you run. (505 words)
- [Holidays and Promotions](/content/use-cases/holidays-and-promotions/index.html): Haus integrates with all your sales channels to report total lift across all sales channels for every experiment you run. (458 words)
- [Haus Media Mix Optimization](/content/use-cases/media-mix-optimization/index.html): Haus enables flexible a/b tests across platforms and measurement across your key sales channels. (386 words)
- [Zach Epstein | Haus](/content/people/zach-epstein/index.html) (244 words)
- [Haus Employee Referral Page](/content/referrals/employee-referral/index.html) (177 words)
- [Vibe x Haus: Measure Streaming TV Incrementality](/content/pages/vibe-demo/index.html): Haus enables brands to objectively measure the incremental business impact of streaming TV advertising efforts. (43 words)
- [2026 Marketing Decision Confidence Index](/content/pages/2026-marketing-decision-confidence-index/index.html) (314 words)
- [Master Marketing Measurement with Incrementality | Haus](/content/pages/master-marketing-measurement-with-incrementality/index.html) (235 words)
- [Haus Customer Referral Page](/content/referrals/customer-referral/index.html) (177 words)
- [Olivia Kory | Haus](/content/people/olivia-kory/index.html) (315 words)
- [Open Haus Live x Shoptalk | What Incrementality Tests Reveal About YouTube](/content/pages/open-haus-live-x-shoptalk/index.html): Join Haus’ Reggie Panaligan and Google’s Egan Brinkman at Shoptalk's Techtalks Stage on March 26 at 11:40am PT to review all things incrementality, YouTube, and more. This session will be recorded and shared. (162 words)
- [2025 State of Growth Marketing in DTC + Ecommerce | Haus](/content/pages/2025-state-of-growth-marketing-in-dtc-ecommerce/index.html) (200 words)
- [Joe Wyer | Haus](/content/people/joe-wyer/index.html) (125 words)
- [Incrementality School | Haus](/content/incrementality-school/index.html): Learn the basics of experiment-driven marketing measurement. (5,599 words)
- [Causal MMM | Haus](/content/pages/causal-mmm/index.html) (61 words)
- [Incrementality 101 | Haus](/content/incrementality-101/index.html): Learn the foundations of incrementality experiments. (7,277 words)
- [Gillian Heltai | Haus](/content/people/gillian-heltai/index.html) (122 words)
- [How long should I run an incrementality test for?](/content/blog/how-long-should-you-run-an-incrementality-test-for/index.html): How long should you run an incrementality test to get trustworthy, statistically robust results? Learn key timing rules, sample size needs, and tradeoffs. (2,352 words)
- [Diversifying The Right Way: A Framework for Calculating the Marginal Efficiency of Your Marketing Channels](/content/blog/diversifying-the-right-way-a-framework-for-calculating-the-marginal-efficiency-of-your-marketing-channels.html): An effective channel diversification strategy starts with grounding your thinking in marginal efficiency — not average efficiency. Here's how to do that. (1,040 words)
- [Meta is changing its attribution settings. Here’s what you need to know.](/content/blog/meta-is-changing-its-attribution-settings-heres-what-you-need-to-know.html): Meta is overhauling its attribution settings, including a new Incremental Attribution option. Here’s what's changing and how to test what works for your brand. (1,330 words)
- [Geo Experiments: The Fundamentals](/content/blog/geo-experiments-the-fundamentals/index.html): Explore geo experiments from all angles — what they are, why they matter, and how you can use them to measure incremental impact. (1,774 words)
- [Why Meta's “Engaged Views” Is a Distraction, Not a Solution](/content/blog/meta-rolls-out-engaged-views-metric-why-its-another-distraction-not-a-solution.html): While additional data can be useful, we must question whether this new rollout is truly a solution or merely another diversion. (518 words)
- [The Meta Report: Lessons from 640 Haus Incrementality Experiments](/content/blog/the-meta-report-lessons-from-640-haus-incrementality-experiments.html): An exclusive Haus analysis show Meta is incremental in most cases — but is the platform's move toward automation improving incremental efficiency? (3,810 words)
- [Is Meta's Incremental Attribution Outperforming Standard Attribution? What the Data Shows](/content/blog/is-metas-incremental-attribution-outperforming-standard-attribution-what-the-data-shows.html): Does Meta's Incremental Attribution outperform Standard Attribution? New Haus data from 2026 shows a reversal from 2025 — see the full breakdown by brand type and time period. (1,397 words)
- [The Incrementality Blog by Haus](/content/blog/index.html): Learn how Haus has empowered existing customers to understand how marketing activities impact their business, and hear perspectives from our team of world experts. (3,966 words)
- [Why Incrementality? (And How to Start Testing)](/content/blog/why-incrementality-and-how-to-start-testing/index.html): In our recent Open Haus AMA, we were asked why incrementality has become such a buzzword in marketing. (1,953 words)
- [When Is Branded Search Worth the Investment?](/content/blog/when-is-branded-search-worth-the-investment/index.html): Lessons from a large-scale analysis of real-world, branded search incrementality experiments (2,702 words)
- [PMAX Campaign Experiments: Including vs. Excluding Branded Search Terms](/content/blog/pmax-experiments-including-excluding-branded-search-terms.html): Insights from Haus marketing incrementality experiments reveal the real-world impacts of including or excluding branded search terms from PMAX campaigns. (1,316 words)
- [Marketing Attribution: The Fundamentals](/content/blog/marketing-attribution-the-fundamentals/index.html): Discover what marketing attribution is, how it works, its pros and cons in 2025, and why incrementality testing provides a more precise measure of ROI. (2,355 words)

## About Pages

- [We are Haus | Made for Marketers, Built by Scientists](/content/about/index.html): We are on a mission to democratize access to world-class causal inference tools, empowering businesses to make data-driven decisions rooted in science. (187 words)

## Resources

- [Full Page Index](/index.html): Browse all cached pages with rich metadata
- [About This Cache](/about.html): Methodology, technical details, and usage guidelines
- [XML Sitemap](/sitemap.xml): Machine-readable sitemap for crawler discovery
- [Robots.txt](/robots.txt): Crawler directives