THE LAST WORD: Tuesday
Stephen DiMarco (Tubular Labs) moderated this discussion on the second day of the conference with the anchor commentators who shared their perspectives on what they heard and what it means.
Stephen DiMarco (Tubular Labs) moderated this discussion on the second day of the conference with the anchor commentators who shared their perspectives on what they heard and what it means.
An impressive body of work is building in attention measurement. The three winning-papers sessions preceding this panel revealed a work in progress with shared goals as well as differences in approaches. Moderator Earl Taylor of the ARF’s MSI division asked the speakers about their views on barriers to the process, and opportunities for further improving attention measures.
Tristan Webster and Kenneth Wilbur showcased their most recent collaborative work examining attention and frequency in advertising: the impact of multiple exposures on people’s attention to TV ads. They applied CTV data which TVision has collected natively in the field to provide insight into the long-examined question, “Is there an optimal frequency for TV ads?”, but more granularly: “What is happening in the media environment while viewers see ads, and how does that affect their attention?”
Realeyes uses software solutions for measuring human attentional and emotional response to advertising. Max Kalehoff explained the importance of attention measurement as a gauge of brand performance. He urged companies, particularly those with latent sales, to incorporate it into their business models.
Three core factors driving/limiting targeting are privacy, devices (IDFA), and at browser level (third party cookies). There are two broad trends in marketers’ response: 1) recreate identities or improve contextual targeting. Initiative suggests their attempt to recreate identity is balanced by their respect for privacy. Initiative is trying to maintain journey based engagement through technology.
As consumer concerns about privacy are growing and legislators are responding by introducing legal restrictions, marketers are focusing on contextual targeting (instead of cookies) to make their advertising more effective. Research by Integral Ad Science (IAS) has shown that the growth of contextual targeting is not only being embraced by marketers, but also welcomed by consumers: they prefer ads that match the content they are viewing – which makes them more relevant to them.
Jane Clarke (CIMM) followed up with each of this session’s presenters on the goals and data points of their discrete studies. The following are edited highlights from the discussions.
The academic study at the heart of this presentation compared 13 hierarchy-of-effects (HoE) advertising models to determine which model matters the most, what moderators are most prominent, and what factors and sequence are most important in driving sales. Understanding the sequence of effects is most important for advertisers and marketers as they build their campaigns.
Kara Manatt (Magna) and Heather O’Shea (Snap) presented research that compared :06 second and :15 second ad lengths across three video platforms – Snap, video aggregators, and full episode players (FEPs) – to determine the optimum ad length for an effective ad strategy.
In testing the same :06 and :15 ads for the same four brands, the study factored in the characteristics of each platform – pre-roll/mid-roll, skippable and non-skippable, and device – as it tracked 7,500+ panelists’ viewing behaviors for brand awareness, brand perception, and purchase intent.
Lumen Research and TVision came together with Ebiquity to study differences in the way advertising generates visual attention across varied media and how much it costs to buy that attention. By combining their individual datasets – Lumen’s visual attention to digital advertising on desktop and smartphones, TVision’s TV attention data, and Ebiquity’s cost data – the researchers devised a new currency, the aCPM, a proxy metric representing the cost per thousand seconds of attention.