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Do I Have Your Attention? Banner Blindness Tactics, Roadblock Ads and Influencer Cues

Do I Have Your Attention? Banner Blindness Tactics, Roadblock Ads and Influencer Cues

  • Inside the Journal of Advertising Research

At this Insights Studio, speakers on four different continents presented their work published in the JAR, with common themes of attention and frequency. Two presentations focused on banner blindness tactics: one compared the effectiveness of personalization and extreme creative strategies, while the other showed how unexpected ads like pop-ups and floaters drive attention and shape attitudes. A study on roadblock advertising tackled the question: Is this attention-getting tactic worth the substantial cost? And lastly: effects of influencer disclosures over time within a framework of consumer skepticism. A lively Q&A discussion explored the roles of attention and inattention in creative and media, contextual nuances, frequency effects of roadblock advertising and influencer disclosures, differences in attention factors across cultures, and the need for more research overall in the area of attention.

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Leading with Inclusive Insights

Leading with Inclusive Insights

  • ARF CULTURAL EFFECTIVENESS COUNCIL

On November 1, 2022, the ARF Cultural Effectiveness Council hosted a discussion on ways that brands have gained an edge by focusing their insights and subsequent marketing on traditionally under-represented communities.  Speakers from General Mills, Vevo, and muliti-cultural agency Alma shed light on the kinds of research they find helpful in uncovering valuable inclusive insights and the potential rewards of this strategy.  They cited examples of those insights and discussed the societal trends that underlie them. The session was moderated by Council Co-Chair Janelle James of Ipsos.

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Making Inclusive Advertising Effective

  • Posted: October 20, 2022

Ads that highlight under-represented groups and their experiences can have broad appeal and be highly effective. However, they can backfire – even among the group the ad is focused on – if they fall into the “sadness trap”. 

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A Different Perspective on “Diversity”

  • Posted: October 20, 2022

While most marketers’ attention is focused on Gen Z and increasing diversity in ad creative, depictions of older adults are rarely part of that diversity. A new study concludes that bias in advertising prevents many brands from motivating a large, affluent consumer group.

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CultureConnect Podcast Series: Episode #4: Contending with Algorithmic Bias

  • Posted: September 28, 2022

May 5, 2022 — Episode #4: Contending with Algorithmic Bias, a conversation with, Janelle James, SVP, Ipsos IUU (Council Co-Chair), Kalinda Ukanwa, Assistant Professor of Marketing at USC’s Marshall School of Business. Amanda Bower, Machine Learning Researcher at Twitter. Hui Wang, VP/Director of Global Data Intelligence – Analytics Service, at Publicis Media. Kathy Sheehan, Senior Vice President at Cassandra. Ilinca Barsan, Data Science Director at Wunderman Thompson.

We’re increasingly dependent on algorithms in a variety of areas. This has led to problems with algorithmic bias, in which statistical and econometric models or a programmed set of instructions systematically treats members of some groups differently than others. This can be due to the unconscious biases of engineers who build the models, biases in the data they are trained on, biases inherent in the models themselves or algorithms’ treatment of human attributes as single, isolated components rather than intersectional identities. We look at the ways in which models, programs, and algorithms in the media, marketing, and advertising industries can unintentionally favor majority populations and ignore or even discriminate against minority segments and how to overcome this problem.

CultureConnect Podcast Series: Episode #5: Contending with Algorithmic Bias pt 2

  • Posted: September 28, 2022

June 17, 2022 — Episode #5: Contending with Algorithmic Bias pt 2 , A conversation with, Kalinda Ukanwa, an Assistant Professor of Marketing at USC’s Marshall School of Business. Amanda Bower, a machine learning researcher at Twitter.

Technology is an essential part of our everyday life. We rely on it to help us navigate our finance, employment, housing, health care and purchases, among other things. But, perhaps unknowingly, we may be impacted by algorithmic bias, in which systematic repeatable errors in AI treat members of some groups differently than others. In part two of our look at algorithmic bias, we delve further into what consumers and companies can do about it.

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