Attention metrics represent a shift in how advertisers evaluate campaign performance. While viewability metrics confirm that an ad had the opportunity to be seen, attention metrics measure whether consumers actually noticed and absorbed the message. The Interactive Advertising Bureau (IAB) and Media Rating Council (MRC) released standardized Attention Measurement Guidelines in November 2025, providing advertisers with a framework to evaluate and compare attention measurement offerings across vendors for the first time.

This FAQ explains what attention metrics are, why they matter now, and how advertisers can use them to improve media performance beyond viewability.

What are attention metrics in advertising?

Attention metrics quantify whether consumers notice and engage with advertisements, going beyond traditional viewability standards that only measure whether an ad was technically visible. These metrics assess how long a viewer looks at an ad, what actions they take during exposure, and how they respond cognitively or emotionally.

Attention metrics can be collected across digital channels including display, social media, connected TV (CTV), audio, and digital out-of-home. Advertisers use three primary input types: biometric data (eye tracking, heart rate), survey data from panels, and contextual signals (scroll speed, cursor placement, dwell time), according to EMARKETER's Attention Metrics Ecosystem 2024 report. The resulting data helps advertisers gauge media quality, minimize waste, and predict campaign outcomes.

What is the difference between attention metrics and viewability?

Viewability measures whether an ad had the opportunity to be seen. Under MRC standards, a display ad is viewable if at least 50% of its pixels are visible for one continuous second, or two seconds in the case of video ads. Attention metrics go further by assessing whether a consumer actually noticed and absorbed the message.

Research from Lumen indicates that only 30% of viewable digital ads are actually looked at, meaning 70% of ad spend goes to impressions that technically render but capture no real attention. This gap explains why advertisers increasingly treat viewability as a "gateway" metric and attention as a "performance" metric. Together, they answer two distinct questions: was the ad placed in a valid environment, and did it succeed in capturing the audience's interest?

Why are advertisers shifting from viewability to attention metrics?

Several factors are driving this transition:

• Viewability's limitations. Viewability establishes only that an ad was displayed, not that it resonated. High viewability scores do not guarantee business outcomes.
• Less dependence on identity-based tracking. Attention metrics offer a way to evaluate performance without relying on third-party cookies or device IDs.
• Outcome correlation. Attention metrics correlate with business results. High-attention ads drive a 130% lift in conversions and reduce cost per action by 51%, per Adlook research.
• Industry momentum. 47% of US buy-side decision-makers expected their organizations to focus more on attention metrics in 2025, according to IAB data.

How are attention metrics measured?

Attention measurement relies on four primary methodologies, according to the IAB/MRC Attention Measurement Guidelines:

• Data signal-based measurement. Tracks contextual signals like time-in-view, scroll depth, audibility, click interactions, and screen orientation. These signals can be collected at scale in real time through JavaScript tags or software development kits.
• Visual and audio tracking. Uses eye-tracking technology and facial coding to determine whether viewers looked at an ad and for how long. Often sourced from consenting panel participants.
• Physiological and neurological observation. Measures biometric responses including heart rate and neural activity to assess emotional engagement. Requires specialized equipment and controlled environments.
• Panel or survey-based methods. Gathers self-reported attention data through focus groups and brand lift surveys measuring awareness, consideration, and sentiment.

Most attention providers combine human-centered data (biometric, survey) with impression-centered data (contextual signals) to create predictive models.

What are the challenges of using attention metrics?

Despite growing adoption, attention metrics present specific obstacles:

• Methodological complexity. Each provider uses different input signals and weighting models, making it difficult to compare results across vendors, according to EMARKETER.
• Limited cross-media coverage. Attention signals vary by channel. Eye tracking works for video and display but not audio. CTV requires different measurement approaches than mobile.
• Implementation cost. Measuring attention requires investment in technology or third-party partnerships. Biometric data collection, in particular, demands specialized equipment and consenting panels.
• Environment restrictions. Access to attention data can be limited in walled gardens, smart TVs, and podcast environments where traditional tracking methods do not apply.

Advertisers are advised not to over-optimize for attention as an end goal. Attention correlates with outcomes but is not an outcome itself.

Is there an industry standard for attention metrics?

Yes. The IAB and MRC released finalized Attention Measurement Guidelines in November 2025, establishing the industry's first standardized framework for attention measurement, per the IAB.

The guidelines, developed with input from over 200 experts across brands, agencies, publishers, and measurement companies, define methodological requirements for four measurement approaches: data signals, visual tracking, physiological observation, and survey-based methods. They establish transparency and disclosure requirements along with validation and auditing standards for MRC accreditation.

DoubleVerify holds the only MRC-accredited attention methodology as of late 2025. Integral Ad Science has initiated an MRC audit for its Quality Attention product, per EMARKETER. The CIMM/IAB Attention Measurement Playbook, also released in November 2025, provides practical implementation guidance for marketers operationalizing attention metrics.

How should marketers evaluate attention measurement vendors in 2026?

Due diligence should address four areas:

1. Methodology fit. Determine which input signals (biometric, contextual, survey) align with your channels and campaign objectives. CTV saw the highest attention levels in Q3 2024, double online video effectiveness, per Adelaide data cited by EMARKETER.
2. Accreditation status. Prioritize vendors with MRC accreditation or those undergoing audit. The IAB/MRC guidelines provide a framework for evaluating methodology transparency.
3. Integration capabilities. Assess whether attention data can flow into existing measurement stacks, DSPs, or media mix models. Many vendors offer pre-bid segments, private marketplaces, or custom bidding algorithms.
4. Use case alignment. Define priority applications. Planning tools and media buying offer high impact with easier implementation. Media mix modeling (MMM) integration delivers long-term strategic value but requires more resources.

Use the IAB Attention Task Force's RFI questions to standardize vendor evaluation across methodology, product capabilities, and pricing.

We prepared this article with the assistance of generative AI tools and stand behind its accuracy, quality, and originality.

EMARKETER forecast data was current at publication and may have changed. EMARKETER clients have access to up-to-date forecast data. To explore EMARKETER solutions, click here.