What Real Campaign Data Analysis by mFilterIt Reveals About Viewability and Attention Metrics
Many advertisers still believe ‘if an ad is viewable, it means the user actually saw it.’
But that’s not the case anymore. Impressions and viewability still dominate reporting, but they don’t reflect whether audiences actually watched or engaged with an ad. That is why the digital marketing industry and advertisers have now started shifted their focus towards a more reliable metric – attention measurement.
The recent campaign analysis conducted by our experts shows this major shift: attention metrics reveal intent and creative effectiveness in a way traditional KPIs simply can’t.
How Are Attention Metrics Better than Viewability?
Unlike viewability, attention is measured based on multiple signals and human behaviour patterns, not one parameter. The parameters include time-in-view analysis, completion rate, drop-offs, mute rate, picture-in-picture behaviour, etc. These signals are processed using an ML-driven model to estimate likelihood of genuine attention given by a user to an ad.
This multi-signal view creates a far more accurate representation of user intent. It uncovers whether the audience accepted the experience, tolerated it, or tried to avoid it. And as seen in our recent campaign, these behavioral indicators can completely change how creative formats are evaluated.
Two formats. Same brand. Yet drastically different attention outcomes. Here’s what the data really revealed.
What We Observed in Format-Level Analysis: Understanding Audience Engagement Behaviour with Attention Metrics
We analyzed audience interactions across two non-skippable video formats – 15 seconds and 25 seconds, to understand how runtime influences attention quality. Both formats were served to similar targeting sets across comparable inventory, ensuring the behavioural differences were meaningful.
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