Integral Ad Science Ties Ad Results to Attention Measurement

(Image credit: Integral Ad Science)

Integral Ad Science said it is making a new attention measurement product, dubbed Quality Attention, available to global marketers.

Quality Attention ties campaign results to media quality using eye tracking and machine learning.

“Attention measurement must inform actions that drive superior results for advertisers,” IAS chief commercial officer Yannis Dosios said. ”Our Quality Attention offering is purpose-built to help brands and agencies navigate through media clutter to seamlessly understand how media visibility, the ad environment and customer interaction impact campaign performance. According to our research, brands that focus on driving higher IAS attention scores achieve up to a 130% lift in conversion rates leading to a better return on their investment.”

Also Read: IAS Launches CTV Quality Measurement With Iris.TV

IAS last year announced it was working with Lumen Research — which uses biometric measurement — to determine how much attention digital advertisements generate.

One early IAS client to use the new attention metrics is health care company Sanofi.

“We know that ad clutter is not only a frustrating consumer experience, but it also correlates with attention and carbon footprint: less ad clutter equals more attention and less carbon,” Sanofi CHC global digital media lead Anna Kechekmadze said. “Our partnership with IAS on Quality Attention is giving us insight into how attention plays a role in reducing ad fatigue, getting better inventory quality and improving media KPIs.”

IAS said Quality Attention provides global advertisers with an advanced machine learning model, proven performance and brand results and a unification of media quality with human attention.

“We are excited about the evolution of our partnership with IAS and how we are offering advertisers a transparent and more accurate picture of attention,” Lumen Research CEO Mike Follett said. “By bringing our cutting-edge eye-tracking data to IAS’s attention model, advertisers have access to the most robust predictive attention models at scale.”

Jon has been business editor of Broadcasting+Cable since 2010. He focuses on revenue-generating activities, including advertising and distribution, as well as executive intrigue and merger and acquisition activity. Just about any story is fair game, if a dollar sign can make its way into the article. Before B+C, Jon covered the industry for TVWeek, Cable World, Electronic Media, Advertising Age and The New York Post. A native New Yorker, Jon is hiding in plain sight in the suburbs of Chicago.