The Most Valuable Media Signal Isn’t Clicks or Views — It’s Where You Live

For all the talk about audience targeting in the streaming era, one truth is hiding in plain sight: all media is becoming localized media.
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It doesn’t matter if the buy is on a national broadcast, a major CTV app, or a social video platform — the real value comes from how precisely you can match a message to the environment where it’s seen.

Location has always been a proxy for relevance. Now it’s the most common targeting signal in digital campaigns, with 87% of marketers relying on it (source: Lawless Research). The difference today is that “localized” doesn’t just mean the city — it means the neighborhood, the block, the household.

‍Proximity Is the New Primetime

‍Proximity targeting has been around for years, but the rise of CTV has pushed it from niche tactic to mainstream growth driver.

The same program can run on millions of screens, but the ads that follow it can be entirely different depending on the viewer’s physical context.

What does that look like?

• Starbucks targeting ZIP codes where urban store traffic is lagging, boosting sales only in the handful of markets that need a lift.
• An auto dealership serving ads to households within a 25-mile radius, but only in neighborhoods with a high percentage of families — maximizing SUV sales potential.
• A grocery chain showing fresh-produce spots exclusively to households near stores carrying the seasonal product, while skipping every store that doesn’t have it.

In each case, the creative might be identical. The media spend isn’t. Proximity ensures impressions aren’t wasted on audiences who can’t — or won’t — act.

‍The AI + Identity Equation

‍AI can spot patterns in streaming behavior, foot traffic, and purchase history. Identity can tell you exactly which household those patterns belong to.

The magic — and the risk — happens when you put them together:

• AI without identity is incomplete. It can’t connect its insights to a specific, addressable audience.
• Identity without AI is stagnant. It can’t adapt to changing market conditions in real time.
• Identity fed raw into AI is dangerous. Without privacy controls, data can leak into models you don’t own, creating compliance headaches and eroding trust.

Bottom Line

The next wave of targeted advertising will be built on AI and identity inside privacy-safe boundaries — where location and proximity aren’t just a tactic, they’re the foundation of the plan.

➡️ Impressions show reach

➡️ Clicks and views show attention

➡️ Where someone lives shows relevance

🚀 And in a CTV-first world, relevance is the difference-maker

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Jason Manningham is Blockgraph's CEO and Co-Founder.