Where can you get real-world attention data for ad creatives?
Sneh Dhruv · Updated
You can get real-world attention data for ad creatives directly from publishers like Trillboards, where you read measured attention, dwell and exposure, published with sample sizes and data windows. This reporting reveals a 2.6× dwell spread between creatives on the same screen and day, against chance, showing exactly which artwork holds focus longest.
The numbers
| Measure | Figure | Sample | Data window |
|---|---|---|---|
| Seconds a passenger faced the board, per camera-judged legible pass | 1.40 | 846,637 judged passes | Jun 28 – Sep 25, 2026 |
| Share of camera-judged legible passes with at least one second facing the board | 28.1% | 846,637 judged passes | Jun 28 – Sep 25, 2026 |
| Creatives in the creative library | 225,203 | 225,203 creatives | Oct 13, 2026 |
| Median legible seconds per legible billboard pass | 6.4 | 14,904,064 legible passes | Jul 13 – Oct 10, 2026 |
The Shift from Modeled Impressions to Direct Observation
For decades, out-of-home advertising relied on location traffic counts and modeled impressions to evaluate campaign success. Industry standards from the Media Rating Council and Geopath apply visibility adjustment models to estimate physical screen exposure based on vehicle and pedestrian volume. These traffic counts tell you how many people passed a location, but they leave a gap when you need to know if anyone actually looked at your artwork. A buyer might purchase a high-traffic highway placement, only to realize later that commuters pass too quickly to read the message.
The Interactive Advertising Bureau and the Media Rating Council outline five distinct methodologies for measuring attention, including data-signal modeling, eye tracking, neurological observation, and panel surveys. For out-of-home media, the measurement ladder progresses from raw location traffic to a likelihood to see metric. While a likelihood to see metric improves upon raw circulation, it still relies on probability. Direct measurement replaces that probability with hard evidence. Buyers must audit their reporting dashboards to identify which campaigns still rely entirely on probability models.
Today, measurement leads look past mobile panels and modeled impressions to secure real-world attention data. Direct observation methods capture exact focus metrics for every play. When you pull this data, you see exactly how audiences react to the screen. Reporting shows 1.40 seconds facing the board per legible pass, giving your creative team a precise baseline for how much time they have to deliver their message. You transition from hoping an audience saw an ad to knowing exactly how long they held their gaze on it. Request direct observation reports from vendors and compare them against historical traffic models to spot discrepancies in value.
How Independent Vendors Measure Focus
The ecosystem for attention measurement divides into predictive modeling and direct observation. Predictive vendors like Adelaide and xpln.ai generate proxy-signal attention scores based on historical placement quality. These platforms assign a scaled score to inventory, predicting attention rather than measuring it live. Basic proxy-signal attention scores frequently come bundled into major demand-side platforms at no extra cost. Use these proxy scores as a preliminary filter during the planning phase to weed out historically poor placements before committing budget.
Direct observation vendors take a different approach. Companies like Lumen Research and Amplified Intelligence utilize opted-in human panels and eye-tracking technology to measure actual focus. When you apply direct observation to street-level inventory, the data reveals clear engagement patterns. Measurement logs confirm that 28.1% of camera-judged legible passes had a passenger facing the board for at least one second. You use these concrete figures to justify media spend and prove that your placements capture genuine human interest.
Set up a pilot program to test these direct observation tools by selecting a core group of urban panels. Deploy an eye-tracking measurement study over a four-week period to gather baseline data. Once data flows in, cross-reference exact focus times with sales lift. This step allows you to prove to stakeholders that paying a premium for highly viewed screens translates directly into stronger brand recall and better return on ad spend.
Evaluating Creative Performance in the Wild
Access to real-world attention data transforms how you test and optimize ad creatives. Consider a consumer banking brand launching a new checking account campaign. The media buyer runs three different promotional messages across the same city block. If the buyer relies on mobile-panel estimates, all three creatives show identical performance because the same number of devices passed the screen. This outdated approach obscures the true impact of design choices.
Live attention data breaks that tie. You upload multiple designs and watch how the physical world reacts to each one. The system logs every interaction, adding to the 225,203 creatives in the library. Your analytics dashboard shows exactly which headline or color palette stops pedestrians and holds their focus. You identify the winning creative within days and shift budget to the artwork that actually commands attention, eliminating guesswork from your out-of-home strategy.
To execute this effectively, establish a strict testing protocol. First, launch your campaign with a minimum of three distinct visual variations. Ensure one creative features a bold lifestyle image, another focuses on typography, and the third highlights a promotion. Monitor the live attention logs daily. If the typography-led design captures a significantly longer average gaze, immediately pause the underperforming variations. By reallocating budget to the winning design mid-campaign, you maximize the overall impact of your spend and guarantee your message resonates with the street-level audience.
Pricing and Activating Attention Metrics
Acquiring attention data requires navigating specialized pricing models. Direct platform licenses for extensive eye-tracking datasets typically cost $25,000 to over $100,000 annually. For transactional buying, the industry uses Attentive CPM, which measures the cost per one thousand seconds of human focus, or Price-per-Attention-Second. These models align your costs directly with the attention your creatives generate. Negotiate these terms upfront, asking vendors for a trial period using Attentive CPM to prove efficiency before committing to an annual license.
You activate these metrics across programmatic platforms and buying suites like Broadsign, Vistar Media, or AdQuick. According to benchmarks from the Out of Home Advertising Association of America and MAGNA, programmatic digital out-of-home is projected to command 43 percent of national spend. As more budgets flow into automated channels, the demand for verifiable attention data grows. Configure your demand-side platform settings to bid higher on inventory that historically delivers longer focus times.
When you buy through these channels, you factor in the physical realities of the placement. Data shows 6.4 seconds legible, the median per legible billboard pass. You use this metric to ensure your creative fits the environment, matching short, punchy copy to fast-moving highway boards and saving complex narratives for pedestrian-heavy transit shelters. Mandate a strict word count limit for any placement with a low median read time. If a board offers only a few seconds of visibility, restrict your creative team to five words or fewer to guarantee comprehension.
Sources
Related on Trillboards
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- Every measurement and data answer
- Published CPM floors for every audience
- Every audience we sell
- Screens and audiences by city
Plan this on Trillboards
Attention, dwell and exposure are measured and published with their sample sizes and data windows. Developers build on the OpenAPI reference, and advertisers sign up here. Plan it on live inventory to see the screens, weekly views and effective CPM for the audience you pick.
Frequently asked questions
- What is Attentive CPM in out-of-home advertising?
- Attentive CPM calculates the cost of one thousand seconds of verified human focus on your ad. Media buyers use this metric to compare the true value of different placements. It shifts the conversation from how many people walked by to how much actual engagement your budget secured.
- How do you test multiple billboard designs at once?
- You run an A/B test by rotating different artwork on the same digital screens throughout the day. By measuring the exact dwell time and gaze duration for each play, you identify which design captures the most interest. You then allocate your remaining budget to the winning concept.
- Can you buy out-of-home media based on attention scores?
- Yes, you can filter and bid on inventory using predictive attention scores through major demand-side platforms. These integrations let you set minimum thresholds for placement quality. Your campaigns automatically prioritize screens that historically deliver higher engagement, ensuring your message reaches an attentive audience.
- Why do buyers prefer direct observation over predictive models?
- Direct observation provides concrete proof that someone looked at your specific ad play. Predictive models offer a probability based on past performance and environmental factors. Buyers choose direct measurement when they need absolute certainty to validate their creative strategy and justify their media investments to clients.
- How does screen location impact creative performance?
- A screen positioned at eye level in a waiting area naturally generates longer viewing times than a high-altitude highway board. You must tailor your artwork to the physical context. Complex messages require environments that naturally support extended viewing, while roadside placements demand instant visual impact.
Plan it
Open the planner in the planner to see the screens, the weekly views and the price before you book, or browse the audience catalogue.