Amazon DSP Integrates Adelaide's Attention Metrics for Pre-Bid Targeting
Amazon's demand-side platform now lets advertisers apply Adelaide's attention-based scores before placing bids, giving retail media buyers a new lever for optimizing campaign quality.
Amazon's demand-side platform now lets advertisers apply Adelaide's attention-based scores before placing bids, giving retail media buyers a new lever for optimizing campaign quality.
What the Integration Does
Amazon DSP has added support for Adelaide's pre-bid attention targeting, enabling advertisers to filter inventory based on Adelaide's AU (Attention Unit) scores before a bid is submitted. The scores are designed to predict the likelihood that a given ad placement will actually capture a viewer's attention, drawing on signals such as placement position, creative format, and historical engagement patterns.
Rather than optimizing purely on cost-per-impression or click-through proxies after the fact, buyers can now exclude lower-quality placements from auction consideration entirely — a meaningful shift in how quality is defined at the point of purchase.
Implications for Retail Media Advertisers
For brands running campaigns across Amazon's retail media ecosystem, the addition introduces a quality floor that sits upstream of the standard bidding logic. Retail media budgets have historically been judged on lower-funnel metrics such as return on ad spend and attributed sales, but growing investment in upper-funnel and brand awareness formats on Amazon's owned-and-operated properties has created demand for more nuanced quality signals.
Adelaide has been expanding its retail media partnerships over the past two years, and an integration at the DSP level — rather than a post-campaign measurement layer — marks a step toward making attention a real-time decisioning variable rather than a reporting footnote.
Why It Matters
As retail media networks compete to attract larger brand budgets, the ability to demonstrate and guarantee placement quality becomes a key differentiator. Pre-bid attention filtering gives advertisers more control over where dollars land, which could increase confidence in committing incremental spend to Amazon DSP. It also signals a broader industry direction: third-party attention measurement moving from a reporting tool into an active component of programmatic infrastructure.
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