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xpln.ai launches predictive metric for pre-campaign attention planning

6 hours ago
By AI, Created 12:00 UTC, Jul 07, 2026, AGP -

xpln.ai has launched Ideal Attention Time, a metric designed to tell advertisers how much attention a creative needs before a campaign goes live. The company says the tool helps brands match creative requirements with media placements across YouTube, social, CTV and the open web.

Why it matters: - xpln.ai is trying to close a planning gap in advertising: media buyers can measure attention in placements, but often cannot tell whether a creative gets enough attention to work. - The company says campaigns evaluated with the Ideal Attention Time framework found that 75% of impressions do not generate enough attention for audiences to connect the advertised product with the brand. - That suggests a meaningful share of ad spend may be going to environments that cannot fully deliver the message.

What happened: - xpln.ai announced Ideal Attention Time, a predictive attention metric that estimates how much attention a creative needs before media investment begins. - CEO and co-founder Fabien Magalon said the tool is meant to connect creative needs with the attention levels different platforms can provide. - The launch is aimed at advertisers planning campaigns across YouTube, social platforms, connected TV and the open web.

The details: - Ideal Attention Time is built on xpln.ai’s proprietary attention intelligence technology. - The metric estimates the minimum attention needed for audiences to recognize a brand, identify a product and understand a message. - The system analyzes every frame of a video creative. - xpln.ai says the analysis looks at about fifty visual, audio and contextual signals, including brand presence, product visibility, text, faces, movement and call-to-action elements. - Those signals are calibrated against two years of human attention data from more than 20,000 panelists. - The model is applied to the specific dynamics of each media environment, including YouTube, social platforms, connected TV and the open web. - xpln.ai says the metric returns results in minutes, unlike traditional creative testing that relies on panel recruitment and longer turnaround times. - The company says advertisers can use the tool to determine creative attention needs before launch, assess whether media environments can deliver that level, align creative objectives with media planning, optimize toward attention thresholds and evaluate video assets across major platforms. - AXA Global Media Lead Marine Gissy said Ideal Attention Time gave the company a clearer view of what its creatives require across platforms and can help guide placement planning or in-flight optimization. - xpln.ai says it is trusted by brands and agencies including Danone, Coca-Cola, Samsung, Volkswagen, Hermès, Publicis, Havas, OMD, Dentsu, GroupM and The Trade Desk. - The company says it helps marketers measure, understand and optimize attention across media channels. - xpln.ai included a LinkedIn page in its announcement: company profile.

Between the lines: - The product pushes attention measurement earlier in the campaign process, shifting the question from whether a placement can attract eyes to whether the creative can do anything meaningful with them. - That could make creative and media planning more tightly linked, especially for brands trying to compare assets across platforms with very different attention patterns. - The 75% impression figure is a strong warning signal, but it comes from xpln.ai’s own framework, so advertisers will likely want to test the metric against their own performance data.

What's next: - xpln.ai is positioning Ideal Attention Time as a planning tool for marketers who want to set attention thresholds before launch and optimize delivery while campaigns are running. - The company appears to be betting that faster, pre-campaign creative diagnosis will become a standard input in media planning. - The next test is whether advertisers adopt the metric as a decision-making layer, not just a diagnostic readout.

Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.

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