Let's Talk

What We're Seeing

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 14, 2026
Read this post →
Why Does Attribution Suck So Much?
Geographic Intelligence

Where Your Ads Stop Working: Finding the Dead Zones

Your media is running everywhere. But in some zip codes, nobody responds. Those Dead Zones are where spend stops producing and opportunity starts.

Brian Handrigan March 25, 2026
Geographic Intelligence

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

Most incrementality tests measure nationally and hope for the best. Here's what changes at the DMA level with real geographic precision.

Brian Handrigan March 11, 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 25, 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 11, 2026
The Science of Influence

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

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

Brian Handrigan January 28, 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 14, 2026
The Science of Influence

Why We're Building the IDE at NEXT90

Two people. Two decades. Two sides of the table. One conclusion: measurement should represent reality, not justify decisions. Why we built the IDE.

Brian Handrigan & Randy Cairns January 7, 2026