Targets & Segments

Causality Study Challenges TV Advertising-to-Sales Data Analysis


Establishing causality in the TV advertising-to-sales relationship, ideally, is studied through randomized trials, which match respondents to exposure and non-exposure groups. Given the difficulties of such experiments, analysis of observational data, alternatively, can reveal links between ad campaigns and sales. But new research shows how failure to control for variants can produce misleading signals to advertisers.

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The Shopping Revolution — What’s Next? (Event Summary)


At SHOPPERxSCIENCE 2021, experts presented a framework to use to create a competitive retail environment. Attendees heard the latest research and insights to effectively maneuver the changing shopping landscape. Enjoy this brief recap of the event – including the latest research and insights to keep your business and brand successful.

Key takeaways, the full event video, and presentations are available for ARF members:

If you are interested in becoming a corporate member, please contact New-Member-Info@thearf.org.


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Building Brand Loyalty with Today’s Audience –The Pivotal Role of Representation (Event Summary)


The fourth installment of the ARF Cultural Effectiveness Council’s virtual event series focused on why representation is important. This event provided insights on culture, values and identification that need to be considered in order to achieve meaningful representation of the 21st century US population in advertising. This includes communities that are often overlooked–those within the broader ethnic, LGBTQIA and disabled communities. Editor’s Note: The full summary is available to members only.

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Apple IDFA & Google FLoC: How Tracking Changes Will Impact You (Event Summary)


Earlier this year, Google announced they plan to stop individual ad tracking. Apple is also altering the landscape of the advertising ecosystem with its iOS 14 IDFA (Identifier for Advertisers) update. Ad targeting, personalization, measurement and fraud detection are predicted to be negatively impacted and the implications — and potential revenue loss — for brands, ad networks, publishers are huge.

At this Insights Studio: Member Broadcast, OptiMine, Havas Media and CIMM discussed exactly how Google and Apple’s changes will impact you and why they matter, how brands should think about future-proofing their advertising measurement in an environment of increased data privacy and strategies for future success.


Matt Voda — CEO, OptiMine
Sargi Mann  — EVP, Digital Strategy, Havas Media
Moderator: Jane Clarke  — CEO, Managing Director, CIMM

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Prior Information & Consumer Search: Evidence from Eye-Tracking

  • Marketing Science Institute

Consumers increasingly make purchase decisions based on online product reviews and rankings. Meanwhile, advertising is often designed to inform about a product or service’s benefits. Within both of these scenarios, consumers learn how to dovetail new understandings into what they already know about a brand, product or service. In this study, researchers looked to quantify the impact prior information (e.g. information obtained from past purchases or use) on consumer search and purchase decisions.

Inside the Journal of Advertising Research — Sixes, A.I. and Media Metrics (Event Summary)


At this Insights Studio, a global panel synthesized their work published in the Journal of Advertising Research on creative strategies for six-second video ads, radio ad-avoidance measures, facial coding analysis of ad sharing, and TV ad effectiveness. Creative trends, generational differences (e.g. Gen Z vs. older audiences) and the power of advertising preferences were among talking points in the concluding Q&A.

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How Facial Expressions Can Predict Ad Sharing

  • Daniel McDuff, Microsoft Research; Jonah Berger, Wharton School of the University of Pennsylvania -- JOURNAL OF ADVERTISING RESEARCH

Why do some ads get shared more than others on social media? This study used facial coding algorithms to quantify the facial expressions of thousands of individuals in response to video ads. The findings help advertisers predict how different emotions influence sharing, and provide a deeper understanding of the complexities between emotion and transmission.

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