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. Completion Rate Revealed Early Fatigue 15s format: 95.05% completion 25s format: 84.31% completion The longer format triggered noticeably higher drop-offs, suggesting that even a small increase in duration can introduce friction. Mute & PIP Exposed Active Disengagement Mute rates: 15s format → 3.38% 25s format → 4.52% PIP rates: 15s format → 4.14% 25s format → 5.46% Both indicators rose significantly for the 25-second version. These behaviours aren’t accidental; they are user choices to reduce exposure, showing clear discomfort with the longer ad runtime. Final Analysis 15s format attention score: 90.15% 25s format attention score: 79.65% When all signals were combined, the 15-second creative clearly showed stronger intent, lower disruption, and higher-quality engagement. Know more about how mFilterIt attention metrics tool differs from competitors. What This Means: How Advertisers Can Improve Ad Engagement Using Attention Metrics The behavioural signals from this campaign clearly show what audiences accept and avoid. By focusing on attention metrics, brands can shape smarter creative decisions and optimize media planning for real engagement, ensuring every rupee spent earns genuine consumer attention. Here’s how: Creative Video Strategy: Build Ad Campaigns People Stay With The campaign highlights clearly demonstrate that audience attention is not guaranteed; it must be earned through thoughtful creative choices. Key implications: Shorter formats respect user choices and reduce cognitive ad fatigue. Creative storytelling should prioritise clarity and impact within tighter runtime limits. Low mute/PIP levels indicate the ad was accepted rather than avoided. Attention metrics data replaces guesswork with evidence, helping brands choose formats that not only convey their message but keep viewers engaged. Media Efficiency: Focus on Attention Metrics, Not Just Viewability Ad engagement is no longer determined by cost per impression but by cost per high-attention impression. The campaign findings suggest: High viewability doesn’t guarantee valuable ad exposure. Formats with higher attention scores should receive higher budget allocation. Advertisers should prioritise placements that reduce disruptive behaviours (mute, PIP). Optimizing campaigns based on attention metrics allows brands to maximize real engagement and improve overall campaign performance, not just reported visibility. How Attention Ad Measurement Enhances Fraud Detection Signals Attention metrics offer value beyond creative and planning insights; they strengthen ad fraud detection. Fraudulent traffic can mimic traditional metrics like impressions and viewability, but it cannot replicate the natural variability of human attention. Bots do not: Display inconsistent completion patterns Trigger realistic mute or PIP behaviour Show behavioural fluctuations across formats When attention signals appear unnaturally uniform or abnormally perfect, they help identify suspicious activity that standard fraud filters may not catch. This creates a powerful layer of quality assurance by merging traffic validation with engagement behaviour, ensuring advertisers pay only for impressions that reach real, attentive users. Also know why attention metrics matter for marketers to eliminate MFA sites. Conclusion: Drive Ad Effectiveness with Attention Metrics We go beyond viewability to offer a detailed analysis of behavioural signals that reveal how audiences truly interact with your ads. Attention metrics uncover the difference between an impression that’s merely delivered and one that’s genuinely absorbed. By understanding real user behaviour using ad fraud detection tool, brands can optimize creative choices, refine media planning, and eliminate wasted spend with far greater precision. When attention becomes the foundation of measurement, campaigns become sharper, more efficient, and more aligned with what today’s audiences actually respond to. Want to ensure that your ads are only seen by humans and not bots? Connect with our mFilterIt experts to create a high-performing campaign by evaluating your impressions quality and ensure that your ads are only seen by humans.
