Diversifying The Right Way: A Framework for Calculating the Marginal Efficiency of Your Marketing Channels
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An effective channel diversification strategy starts with grounding your thinking in marginal efficiency — not average efficiency. Here's how to do that.
Is Your Marketing ROI Real? A Brief History of Scanners and Sales
When brands cut prospecting to chase ROAS, they stop replenishing future demand – and history illustrates what happens next.
How to Tie a Super Bowl Ad to Business Outcomes
The Haus playbook for measuring tentpole brand campaigns
MTA vs. MMM: Choosing Between Multi-Touch Attribution and Marketing Mix Modeling
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Let's unpack the differences between multi-touch attribution (MTA) and marketing mix modeling (MMM) and when each approach comes in handy for marketers.
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 — and it's the backbone of Haus’ Causal MMM.
Marketing Measurement: The Fundamentals
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Learn the fundamentals of marketing measurement — from ROAS and MMM to incrementality testing — and discover how to measure true campaign impact.
Introducing Causal MMM
Meet Causal MMM: A marketing mix model that inspires trust, provides clarity, and drives smart marketing investments.
What's The Difference Between Test-Calibrated MMM and Causal MMM?
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Sometimes used interchangeably, it’s worth clearly distinguishing between these two approaches and what they accomplish.
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.