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Do YouTube Ads Perform? Lessons From 190 Incrementality Tests
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An exclusive Haus analysis shows YouTube often delivers powerful new customer acquisition and retail halo effects that traditional metrics miss.
Google Announces Plan to Migrate Video Action Campaigns to Demand Gen
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The news leaves advertisers swimming in uncertainty — which is why it’s so important to test before the change.
The Haus Viewpoint

We are building Haus to democratize access to world-class decision science tools.
All blog articles
Do YouTube Ads Perform? Lessons From 190 Incrementality Tests
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An exclusive Haus analysis shows YouTube often delivers powerful new customer acquisition and retail halo effects that traditional metrics miss.
Getting Started with Causal MMM
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Causal MMM isn’t rooted in historical correlational data – it’s rooted in causal reality.
A First Look at Causal MMM
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Causal MMM is a new product from Haus founded on incrementality experiments. Coming 2025.
Would You Bet Your Budget on That? The Case for Honest Marketing Measurement

Acknowledging uncertainty enables brands to make better, more profitable decisions.
Incrementality: The Fundamentals
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Let's explore incrementality from every angle — what it is, what you can test, and what you need to get started.
Getting Started with Incrementality Testing

As the customer journey grows more complex, incrementality testing helps you determine the true, causal impact of your marketing.
Matched Market Tests Don't Cut It: Why Haus Uses Synthetic Control in Incrementality Experiments
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Haus’ synthetic control produces results that are 4x more precise than those produced by matched market tests.
Incrementality School, E6: How to Foster a Culture of Incrementality Experimentation
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Having the right measurement toolkit for your business is only meaningful insofar as your team’s ability to use that tool.
Geo-Level Data Now Available for Amazon Vendor Central Brands
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Vendor Central sellers – brands that sell *to* Amazon – can now use Haus to measure omnichannel incrementality.
How Does Traditional Marketing Mix Modeling (MMM) Work?

Traditional marketing mix modeling (MMM) often relies on linear regression to illustrate correlation, not causation.
2025: The Year of Privacy-Durable Marketing Measurement
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Haus incrementality testing doesn’t rely on pixels, PII, or other data that may be vulnerable to privacy regulations.
Meta Shares New Conversion Restrictions for Health and Wellness Brands
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Developing story: Starting in January 2025, some health and wellness brands may not be able to measure lower-funnel conversion events on Meta.
Incrementality School, E5: Randomized Control Experiments, Conversion Lift Testing, and Natural Experiments
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Sure, the title's a mouthful – but attributing changes in data (ex: ‘my KPI went up') to certain factors (ex: ‘we increased ad spend’) is hard to do well.
Incrementality Testing: How To Choose The Right Platform

Whether you’re actively evaluating incrementality platforms or simply curious to learn more, consider this checklist your first stop.
Incrementality School, E4: Who Needs Incrementality Testing?

As brands' marketing strategies grow in complexity, incrementality testing becomes increasingly consequential.
Incrementality School, E3: How Do Brands Measure Incrementality?

Traditional MTAs and MMMs won't measure incrementality – but geo experiments reveal clear cause, effect, and value.
Incrementality School, E2: What Can You Incrementality Test?

Haus’ Customer Marketing Lead Maddie Dault and Success Team Lead Nick Doren dive into what you can incrementality test – and why now's the time.
Incrementality School, E1: What is Incrementality?

To kick off our new Incrementality School series, three Haus incrementality experts weigh in describing a very fundamental concept.
Inside the Offsite: Why Haus?
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“If [econometrics] is the field, if this is the stuff you love working on, there’s nowhere better to be,” says Haus economist Phil Erickson.
Haus Named One of LinkedIn's Top Startups
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A note from Zach Epstein, Haus CEO.
Google Announces Plan to Migrate Video Action Campaigns to Demand Gen
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The news leaves advertisers swimming in uncertainty — which is why it’s so important to test before the change.
Conversion Lag Insights: How Haus Tests Can Help Optimize Q4 Budgets
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Post-treatment windows offer a unique glimpse into the lingering impacts of advertising campaigns after they’ve concluded.
PMAX Experiments Revealed: Including vs. Excluding Branded Search Terms

We analyzed experiments from leading brands to understand the incremental impacts of including vs. excluding branded terms in PMAX campaigns.
CommerceNext Session Recap: How Newton Baby Uses Incrementality Experiments to Maximize ROI

“We ran the test of cutting spend pretty significantly and it turns out a lot of that spend was not incremental,” says Aaron Zagha, Newton Baby CMO.
Introducing Causal Attribution: Your New Daily Incrementality Solution

Causal Attribution syncs your ad platform data with your experiment results to provide a daily read on which channels drive growth.
Haus Announces $20M Raise Led by 01 Advisors

With this additional support, Haus is well-positioned to deepen our causal inference capabilities and announce a new product: Causal Attribution.
3 Ways to Perfect Your Prime Day Marketing Strategy

Think Amazon ads are the only effective marketing channel for Prime Day? Think again.
Maximize Your Q4 Growth With 4 High-Impact, Low-Risk Tests

Not testing during your busy season may be costing you more than you think.
Why Maturing Direct to Consumer Brands Need to Run Incrementality Tests

The media strategy that gets DTC brands from zero to one does not get them from one to ten.
5 Signs It’s Time to Invest in Incrementality

5 common signs that indicate it is definitely time to start investing in incrementality.
$17M Series A, Led by Insight Partners

Haus raises $17M Series A led by Insight Partners to build the future of growth intelligence.
Why Meta's “Engaged Views” Is a Distraction, Not a Solution

While additional data can be useful, we must question whether this new rollout is truly a solution or merely another diversion.
Why You Need a 3rd Party Incrementality Partner

Are you stuck wondering if you should be using 3rd party incrementality studies, ad platform lift studies, or trying to design your own? Find out here.
iOS 17 Feels Like iOS 14 All Over Again. What It Means for Growth Marketing…And Does It Matter Anymore?

A single press release vaguely confirmed that Apple will continue its assault on user level attribution. Here, I unpack what I think it means for growth marketing.
How Automation Is Transforming Growth Marketing

As platforms force more automation, the role of the media buyer is evolving. Read on to learn what to expect and what levers are left to pull.
Statistical Significance Is Costing You Money

It is profitable to ignore statistical significance when making marketing investments.
The Secret to Comparing Marketing Performance Across Channels

While incrementality is better than relying on attribution alone, comparing them as-is is challenging. Thankfully, there’s a better way to get an unbiased data point regardless of the channel.
Your Attribution Model Is Precise but Not Accurate - Here’s Why

Learn which common marketing measurement tactics are accurate, precise, neither or both.
How to Use Causal Targeting to Save Money on Promotions

Leverage causal targeting to execute promotions that are actually incremental for your business.
Are Promotions Growing Your Business or Losing You Money?

Promotions, despite their potential power and ubiquity, are actually hard to execute well.
User-Level Attribution Is Out. Geo-Testing Is the Future.

Geotesting is a near-universal approach for measuring the incremental effects of marketing across both upper and lower funnel tactics.
The Haus Viewpoint

We are building Haus to democratize access to world-class decision science tools.