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Perspectives from inside the data.

The Science of Influence

Why Does Attribution Suck So Much?

The numbers don't add up. The models assume physics that can't happen. And everybody's too busy fighting over credit to ask what actually happened.

Brian Handrigan January 13, 2026
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Why Does Attribution Suck So Much?
Geographic Intelligence

Where Your Ads Stop Working: Finding the Dead Zones

Your media is running in every market. But in some zip codes, nobody's responding. Those gaps — Dead Zones — are where your spend stops producing and your opportunity starts.

Brian Handrigan March 24, 2026
Geographic Intelligence

TV Incrementality at the DMA Level: What Geo-Based Lift Actually Looks Like

Everyone's talking about incrementality testing. But most approaches measure at the national level and hope for the best. Here's what happens when you measure at the DMA level — with real geographic precision.

Brian Handrigan March 10, 2026
Full Funnel

Your Google Ads Algorithm Is Only as Smart as the Data You Feed It

Most advertisers send Google a pixel fire. Google optimizes for pixel fires. If you want it to optimize for revenue, you have to feed it revenue.

Brian Handrigan February 24, 2026
Full Funnel

The Full Journey: TV Ad → Google Search → Website → Phone Call → Revenue

Google doesn't motivate a search. It enables it. The journey starts somewhere else — a TV ad, a radio spot, a billboard. Here's how to trace the entire chain.

Brian Handrigan February 10, 2026
The Science of Influence

The Measurement Problem Isn't AI — It's Physics

Everyone's racing to fix advertising measurement with AI. But the models themselves assume something physically impossible: that humans respond to TV ads in zero seconds.

Brian Handrigan January 27, 2026
The Science of Influence

Why Does Attribution Suck So Much?

The numbers don't add up. The models assume physics that can't happen. And everybody's too busy fighting over credit to ask what actually happened.

Brian Handrigan January 13, 2026