Journal of Advertising Research

Striking the Right Balance in AI-Personalized Advertising

  • JOURNAL OF ADVERTISING RESEARCH

Generative AI is opening new possibilities for hyper-personalized advertising, including the ability to create AI-generated faces that closely resemble individual consumers. But how similar is too similar? This Journal of Advertising Research study finds that while moderate facial resemblance can improve advertising effectiveness, excessive similarity may backfire. The research introduces a new framework for measuring facial similarity and identifies an optimal personalization threshold that maximizes purchase intentions while avoiding consumer discomfort and resistance.

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The Co-Viewing Advantage: Maximizing Attention Across TV Platforms

  • JOURNAL OF ADVERTISING RESEARCH

Watching television is often a shared experience, but how does co-viewing affect audience attention? An analysis of nearly 25 billion seconds of TV viewing data reveals that watching with others decreases attention to advertisements while increasing attention to programming. The effects vary by platform, with linear TV outperforming CTV in sustaining attention during co-viewing situations. The study also finds that longer co-viewing sessions strengthen engagement, while longer ads can undermine attention. These findings offer important guidance for advertisers, content creators and media planners seeking to maximize audience engagement in an increasingly fragmented television landscape.

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Do People Around the World React to Advertising in the Same Way? This Study Investigates

  • JOURNAL OF ADVERTISING RESEARCH

Can facial expressions reliably reveal emotional responses to advertising across cultures? A new study published in the Journal of Advertising Research suggests the answer is yes. Drawing on a massive global database of more than 70,000 advertising studies and nearly 3.8 million frames of viewer facial responses, the authors found remarkably consistent facial expression patterns across 12 world regions. The study provides evidence that certain expressions linked to happiness, disgust, surprise and awe appear universally in response to advertising and entertainment content—supporting the use of automated facial coding as a valuable tool in global advertising research and creative testing.

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Mapping the Virtual Influence Ecosystem

  • JOURNAL OF ADVERTISING RESEARCH

As brands increasingly experiment with virtual influencers, new research, published in the Journal of Advertising Research, offers one of the most comprehensive examinations of the virtual influencer landscape to date. Through a systematic review of 117 academic articles, the authors introduce a formal “virtual influencer ecosystem” framework that maps the relationships among creators, brands, consumers, AI technologies and social platforms. The study explores how authenticity, credibility, autonomy, emotional connection and consumer unease shape audience responses to virtual influencers—and what these dynamics mean for marketers navigating the future of AI-driven influence.

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Why Virtual Influencers Struggle to Drive Engagement

  • ARF
  • JOURNAL OF ADVERTISING RESEARCH

New research reveals that virtual influencers, despite their growing popularity and flexibility, are less effective than human influencers in driving engagement and brand outcomes. The reason lies in consumer psychology: people perceive virtual influencers as less deserving of success, which reduces feelings of envy—an emotion that typically drives social media engagement. However, this disadvantage can be mitigated when virtual influencers are paired with futuristic, technology-focused brands, where their artificial nature feels more congruent.

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How Deepfake Ads Shape Consumer Response

  • ARF
  • JOURNAL OF ADVERTISING RESEARCH

New research reveals that virtual influencers, despite their growing popularity and flexibility, are less effective than human influencers in driving engagement and brand outcomes. The reason lies in consumer psychology: people perceive virtual influencers as less deserving of success, which reduces feelings of envy—an emotion that typically drives social media engagement. However, this disadvantage can be mitigated when virtual influencers are paired with futuristic, technology-focused brands, where their artificial nature feels more congruent.

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  • Article

66 Years of Advertising Research

This study demonstrates the potential of certain neurological measures—in particular, biometrics—to identify television advertisements that successfully lead to sales. The researchers, who represent academia and industry, used direct measures of what they believe matters most to marketers: in-market sales response (from single-source data).

Key Takeaways:

  • Biometrics have the potential to help advertisers understand how sales-successful advertisements work, yet there is no silver-bullet measure to gauge effectiveness
  • The ultimate goal of brand advertisements is to sell; therefore, testing tools must be validated against sales or other relevant behavioral measures
  • Advertisers should establish in advance the desired audience response from any advertisement (e.g. laughter or attention to the brand) and use evidence-supported measures and analysis to ensure the desired response is achieved
  • Key biometrics and objective coding seem useful under defined conditions, whereas traditional survey measures offer no additional value


To access this paper in its entirety, please go to thearf.org website and follow these 3 steps:

  • Login to your myARF
  • Click on "Journal of Advertising Research" on the left hand side menu
  • Locate the article (in italics below) in the search field on the page

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  • Article

An Analysis of the Audience of a Digital Subscription Magazine

This study demonstrates the potential of certain neurological measures—in particular, biometrics—to identify television advertisements that successfully lead to sales. The researchers, who represent academia and industry, used direct measures of what they believe matters most to marketers: in-market sales response (from single-source data).

Key Takeaways:

  • Biometrics have the potential to help advertisers understand how sales-successful advertisements work, yet there is no silver-bullet measure to gauge effectiveness
  • The ultimate goal of brand advertisements is to sell; therefore, testing tools must be validated against sales or other relevant behavioral measures
  • Advertisers should establish in advance the desired audience response from any advertisement (e.g. laughter or attention to the brand) and use evidence-supported measures and analysis to ensure the desired response is achieved
  • Key biometrics and objective coding seem useful under defined conditions, whereas traditional survey measures offer no additional value


To access this paper in its entirety, please go to thearf.org website and follow these 3 steps:

  • Login to your myARF
  • Click on "Journal of Advertising Research" on the left hand side menu
  • Locate the article (in italics below) in the search field on the page

Member Only Access