Measuring Impact from Day One: How to Measure Incrementality Without Historical Data
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See how Haus ColdStart uses comparable KPIs to test the incrementality of new products, markets, and channels that lack historical data.
Fast, Confident, and Wrong: The Risk of Noisy Incrementality Tests
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We simulated a year of marketing decisions 36 million times. Accuracy protected the business. Volume didn't.
High Demand, Higher Stakes: Measurement During Peak Season
In this guide, we outline a better way to plan, test, and measure marketing during peak demand periods.
How Film Studios and Streamers Measure Marketing ROI
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We analyzed dozens of incrementality experiments to learn how leading studios and streaming platforms use testing to answer the questions that matter most.
Is AppLovin More Than a Hype Channel?
AppLovin is proving it can drive efficient DTC growth — now the question is how durable that performance is as the channel matures.
Can An AI Agent Make Budget Decisions You’d Bet Your Business On?
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Marketers have long made billion-dollar budget calls on incomplete data. Architect is built to change that.
Why Enterprise Marketing Teams Stay Stuck on Bad Data (And How the Good Ones Get Out)
Most enterprise teams know their marketing data isn't good enough. Haus Enterprise Measurement Strategist Kevin Keeley knows a thing or two about where the best ones start.