MediaSense Audit: Validating the Predictive Power of AU

In a market full of metrics, trust matters. That’s why Adelaide asked MediaSense, a leading global media advisory firm, to conduct an independent audit of the methodology behind our attention-based media quality metric, AU.

MediaSense’s review confirms what we’ve seen across hundreds of campaigns: AU is a transparent, outcome-driven, and statistically sound signal of media quality, giving advertisers and publishers a trusted way to guide investment decisions.

Key Findings From the Audit

1. AU’s methodology is outcome-driven. 
   AU scores are effectively designed to serve as strong proxies for a placement’s likelihood of driving brand outcomes, including Aided Awareness, Familiarity, Intent, and Recall.
2. The AU Curve Methodology is transparent and reproducible.
   By successfully reconstructing AU curves using aggregated data inputs, MediaSense confirmed that AU is not a black box. Its statistical foundation is traceable, repeatable, and built to support reliable media quality measurement.
3. Higher AU scores correlate with better campaign performance.
   The audit found that AU’s predictive value holds across multiple KPIs and channels, supporting its use as an optimization signal. 

MediaSense’s review confirms what we’ve  seen across hundreds of campaigns: AU is a transparent, outcome-driven, and statistically sound signal of media quality, giving advertisers and publishers a trusted way to guide investment decisions.