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Adelaide's data is based on the analysis of more than 11 million monthly placements (representing over 173 billion impressions) across more than 1000 global campaigns. An average of 380,000 domains a month and 18 industries were measured as part of this analysis. Data was collected and analyzed quarterly by processing any exposure data that describes a placement, generating as precise a rating as possible based on the granularity of the data supplied. Adelaide's AU models are routinely trained using outcome data, including but not limited to, upper-funnel awareness and purchase data for reliably predictive outcomes through the funnel and across campaigns.

Updated: Q4 2025

Adelaide

Data represents activity among Adelaide clients, broader industry metrics may vary. The Attention Metric (AU) is a relative score that allows for an apples-to-apples comparison of media quality across sites, placements, platforms, and channels. For example, in Q2 2024, YouTube ads were three times more likely to effectively capture attention and generate impactful outcomes than native ads.

Updated: Q4 2025

Adelaide

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