IAS Quality Attention scoring faces scrutiny over MRC accreditation and outcomes

The shift from post-bid diagnosis to pre-bid optimization signals that attention metrics are becoming a core bidding logic rather than just a reporting metric. However, the lack of MRC accreditation for IAS creates a significant risk for buyers who must rely on proprietary vendor models that combine measurement, optimization, and reporting within a single stack. As competitors like DoubleVerify secure independent audits and Google integrates Adelaide scores into DV360, the industry faces a fragmentation of non-comparable metrics. Watch for whether IAS pursues formal MRC accreditation for its attention model to counter growing skepticism regarding the correlation between these scores and actual business outcomes.

Integral Ad Science faces intensifying competition in the attention measurement space from both established verification vendors and specialist startups. DoubleVerify has positioned its DV Authentic Attention product as an MRC-accredited alternative, and in early 2025 the company announced that its attention metric had received MRC accreditation for display and video, making it the first major verification platform to achieve that status for an attention-based measurement. That accreditation gap gives DoubleVerify a structural advantage when agencies require independently audited metrics for campaign reporting. Meanwhile, Adelaide, the Australian-born attention specialist, has expanded its footprint in programmatic buying. Google integrated Adelaide attention scores into Display & Video 360 in 2024, allowing advertisers to optimize bids using attention data directly within the platform. That integration represents a significant distribution win for a specialist vendor and places Adelaide scores in front of the same buyers who might otherwise rely on IAS Quality Attention.

The business case for attention metrics is being tested through large-scale advertiser commitments. Publicis Media partnered with Lumen Research in 2024 to embed attention data across its global planning and buying workflows, signaling that holding-company scale adoption is moving beyond pilot programs. On the advertiser side, Stellantis has used attention-based optimization to reduce cost-per-attention across digital campaigns, providing one of the few public case studies linking attention scores to efficiency gains. However, the lack of a universal standard means these results are not directly comparable across vendors, a concern that the Media Rating Council has acknowledged. The MRC issued updated guidance in 2024 outlining requirements for attention measurement accreditation, establishing that vendors must demonstrate methodological transparency, independent auditing, and clear definitions of what their scores represent before receiving accreditation. IAS has not yet submitted its Quality Attention model for that review process.

Independent research continues to question whether attention scores reliably predict campaign outcomes. Kantar published a study in late 2024 finding that attention metrics from different vendors showed low correlation with each other, raising concerns about the lack of interoperability in a market where multiple proprietary models compete for the same budgets. The study tested attention scores from IAS, DoubleVerify, and Adelaide against the same set of campaigns and found that vendor rankings of creative effectiveness diverged significantly. That fragmentation underscores why MRC accreditation matters: without a shared methodological baseline, advertisers cannot determine which attention signal best predicts their specific KPIs. Srishti Gupta, who leads IAS product strategy for attention measurement, acknowledged in a 2025 interview that the company is working toward greater transparency in its model inputs, though no timeline for MRC submission has been publicly confirmed.