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Measurement

Attention metrics

Attention metrics estimate how much people actually noticed or engaged with an ad, using signals like time in view, screen share, interaction and eye-tracking panels, beyond simple viewability.

The short answer, from the AdTech Sumo glossary

Viewability says an ad could have been seen. Attention metrics try to estimate whether it was. The idea is simple: an ad that fills most of the screen for eight seconds while the user is interacting is probably worth more than a small banner in the corner that was technically in view for one second.

Vendors build attention scores from signals such as time in view, the share of the screen the ad occupies, ad clutter, sound on or off, scrolling speed, interaction, and whether the video was playing. Many calibrate their models with eye-tracking or facial-coding panels in which volunteers are observed looking at ads, then apply the model to live campaign data.

Attention metrics are useful for comparing placements and formats, and for exposing low-value inventory such as cluttered made-for-advertising sites pages. The caveat is standardisation: definitions differ between vendors, and IAB and MRC have been working on guidance for how attention should be measured and disclosed. Treat scores as directional unless you understand the method.

Think of it like this

If viewability is proof that a poster was on the wall, attention is noticing whether people actually stopped to read it.

An example

A car brand in South Korea compares two video placements with similar viewability; attention data shows one averages 7 seconds of active viewing and the other 1.5 seconds, so it shifts budget to the first.

Related terms

Sources: MRC standards and guidelines, IAB guidelines