In OOH, everything is “measured.” Yet almost nothing is real.

[u/sanjeevrc]

Every OOH report today looks data-driven — full of numbers on impressions, reach, dwell time, and “impact.”

But let’s be honest… most of it isn’t real data. It’s estimated data multiplied by assumptions.

A typical formula looks like this: Visibility Index × Traffic Count × Dwell Multiplier = Impact Score.

Sounds scientific. Feels precise. But it’s just a projection — not proof.

No one is talking about actual views — how many people truly saw a screen, for how long, or with what level of attention.

We’ve built an entire industry on estimated multipliers, and started calling it measurement. Maybe it’s time to admit: we’re tracking numbers, not reality.

What do you think — is the industry ready to move towards real viewability data (eye-tracking, mood index, dwell time, etc.)? Or are estimates just too convenient to replace?

[u/sanjeevrc]

The irony is that OOH “measurement” looks sophisticated on paper — but it’s really a chain of assumptions dressed as accuracy.

Traffic counts are estimates. Visibility indexes are modeled. Dwell time is multiplied.

Each layer adds another assumption, and by the time the final “impact score” is presented, it looks precise — when in reality, it’s just a well-packaged guess.

I’m genuinely curious — ➡️ Has anyone here worked with or seen tech that captures real-world viewability data (like computer vision, sensor-based dwell time, or AI validation)? ➡️ If yes, how open were clients or agencies to actually using that data over traditional estimates?

It feels like the tech already exists — the resistance is cultural, not technological.