The metric that arrived too late

Attention metrics arrived with a compelling argument. They also arrived too late. The advertising industry has already moved on, and agencies and clients would be better served accepting that than defending a metric the market has quietly moved past.

The promise was real

For decades, the industry operated on a comfortable fiction: that machine-reported impressions and views were a reliable proxy for impact. Counting eyeballs became a business unto itself. Impressions, reach and frequency, views, cost per thousand, the vocabulary of media buying is at its core a vocabulary of volume. What mattered was how much media was delivered and at what cost, not what it did when it arrived. Effectiveness was taken for granted.

Attention measurement challenged that orthodoxy directly. Drawing on eye-tracking panels to model where audiences actually looked, across platforms, placements and formats, it offered something more honest than a count: a measure of whether the advertisement genuinely landed. Attention, its advocates argued, is the first genuine consumer response to advertising, the link between delivery and effect. 

The logic is sound. A cohort of global advertisers experimented. Agencies incorporated attention scores into planning conversations. An entire cottage industry emerged. But enthusiasm never crossed into commitment, and there is now a clear reason why. 

Attention is still half-baked 

The caution from the industry is not unreasonable. Attention measurement, as it currently exists, has brought new knowledge but is only a promising first draft. 

Representation remains uneven across geographies. Differentiation in perspective by audience segments and categories is not available. 

Attention is uni-dimensional and long-form content is inherently advantaged by how attention is currently scored, failing to account for the innate nature of consumption and the role of different platforms. 

The longitudinal data needed to integrate attention scores into market-mix models at scale does not yet exist in sufficient volume. So the narrative for attention, from correlation to causality beyond what legacy metrics provide, is missing. 

Most importantly, the framework for how attention should be used in planning has not yet solidified, limiting its usefulness as a tool for total-plan decisions. 

In its current form, attention is at best an incremental metric to impressions and views. For it to become anything more requires plugging these gaps, demanding substantial time and investment from advertisers. A luxury that requires patience the market does not have, especially when there is an alternative already taking hold. 

Advertisers have tasted blood 

While attention was building its case, the client accountability agenda moved decisively elsewhere. The erosion of digital signals through data privacy regulation destabilised attribution modelling, and advertisers looked further down the funnel for solid ground. What they found there changed everything. 

Incrementality testing and market-mix modelling became dramatically more accessible, partly through AI driving down their cost. A CFO who can now see a modelled line between media spend and sales has little appetite for a metric positioned one step closer to the screen. Advertisers have experienced what it feels like to connect media directly to revenue. That changes what they will accept as a substitute. 

This is not a gap that attention can close. It is a different question entirely. 

The market has spoken 

The three stakeholders who determine whether any metric survives are clients, agencies and media platforms. Right now none of them are pulling in attention’s direction as the primary metric. 

Clients have moved to outcome-based accountability. They are not interested in adding a new media KPI when they now have tools that connect spend to sales. Yes, they are testing attention but are not ready to give up on the last-mile measures. 

Platforms have little incentive to advocate for a metric that at best grades their inventory into attentive and non-attentive slots without helping them extract more value. Some enterprising attention-platform collaborations are taking shape, but the momentum is yet not enough to change the trajectory. 

And agencies, however much they might argue that attention sits within their domain of accountability, cannot champion a metric that clients do not want and platforms will not trade on.  

Without buy-in from all three, attention has no path to becoming a genuine currency. It will remain a line in the post-campaign report, a line whose absence most marketers will not miss. 

Where the energy should go 

The more productive conversation is about building out what the market is actually moving toward: robust, scalable media-to-sales response modelling. 

This is where clients are already investing, where the C-suite is already engaged, and where the evidence base is growing fastest.

 Platforms are responding to the market trend and investing in open-source modelling capabilities to have a play in conversations around effectiveness. The modelling solutions are providing training and sponsoring projects to recruit agencies and clients.    

For agencies, attention is the ideal metric as it is closest to activation. Media-to-sales modelling is the harder road for agencies since it brings variables outside the agency’s control into the accountability frame.  

But the sales effect is the conversation clients want to have, and the industry’s energy is better spent building the tools, data infrastructure and planning frameworks that make that modelling more reliable, more granular and more actionable. 

What next for attention 

Attention is a better metric than what it is trying to replace. But, that is no longer a compelling comparison.  

Some may still invest in attention as an intermediate measure to optimise media deployment and as an adjective of media activity. But attention, however well measured, leaves the business-impact question unanswered. Attention arrived late. 

Premjeet Sodhi is Global Analytics Lead at WPP Media, based in New York, where he builds measurement systems connecting media to business outcomes. The article reflects his personal point of view on the subject.