Rosa Almarza Del Campo’s Post

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Global Client Director at Illuma | Digital&Tech Transformation | Programmatic Advertising | University Lecturer | Ex P&G

If you want to understand what are Attention metrics, how they are calculated , and how they influence campaign results, read below ⬇ 🔹 What are Attention Metrics? Attention metrics (or AU- Attention Unit), measure the probability that a media placement will capture and retain viewer attention. Unlike traditional metrics, AU is derived from a machine-learning model that processes full-funnel outcome data, exposure data, and eye-tracking data. This comprehensive approach provides a nuanced measure of media quality. 🔹 How are Attention Metrics Calculated? -Exposure Data: Tracks how often an ad is served and its duration in the viewer's viewport. -Eye-Tracking Data: Measures where and for how long a viewer’s gaze lingers on the ad. -Full-Funnel Outcomes: Integrates data on consumer actions such as brand awareness, recall, and conversions. 🔹 Influence on Campaign Success Attention metrics have proven to be more predictive of advertising success than traditional metrics. Key findings include: -Higher Conversions: High-AU media placements drive significantly higher conversion rates. For instance, high-AU placements can lead to up to 398% better performance in sales conversions for OLV media compared to baseline placements . -Enhanced Brand Metrics: Media with higher AU scores have shown to improve unaided awareness by 53%, familiarity by 53%, and purchase intent by 108% . -Cost Efficiency: High-quality media can also reduce costs. For example, shifting to high-AU placements can result in a 69% lower cost per conversion #DigitalMarketing #AttentionMetrics #MediaOptimization

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