Advertising Creative

Find the latest and most impactful research on advertising creative here. All the research listed comes from the ARF or one of its subsidiaries: The Journal of Advertising Research (JAR), the Marketing Science Institute (MSI) or the Coalition for Innovative Media Measurement (CIMM). Feel free to bookmark this page, as it will be updated periodically.
When AI Meets Representation: The Consumer Reality of Synthetic Diversity

When AI Meets Representation: The Consumer Reality of Synthetic Diversity

  • ARF; MSI

As brands increasingly use AI-generated people in advertising, a new MSI Working Paper explores how consumers respond when those synthetic models are used to increase racial representation. Across multiple experiments, the research finds that disclosure of AI-generated Black models can reduce brand evaluations by weakening perceptions of authenticity and commitment to diversity initiatives, while similar effects do not emerge for White models. The findings offer important guidance for marketers seeking to balance technological innovation with meaningful representation.

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Striking the Right Balance in AI-Personalized Advertising

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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Beyond the Recommendation: How Prompt Language Changes How AI Frames Your Brand

Beyond the Recommendation: How Prompt Language Changes How AI Frames Your Brand

  • Psychology of Gen AI
  • ARF; MSI

Generative AI tools are not just recommending products—they are shaping how consumers perceive them. This latest issue in the Psychology of Gen AI series, the third phase of the seventh study on AI product recommendations, examines how small changes in prompt wording alter the explanations AI systems generate around the same brand. Using ChatGPT descriptions of Arm & Hammer Advance White toothpaste across multiple, shopping-related prompts, the study reveals how AI recommendations construct different product narratives, emphasize different benefits and even introduce different caveats depending on the consumer’s wording of their question.

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Winning the First Few Seconds: Understanding Gen Z Attention in Modern Video Landscapes

Winning the First Few Seconds: Understanding Gen Z Attention in Modern Video Landscapes

  • ARF ORIGINAL RESEARCH

As marketers invest more heavily in short-form and social video platforms, understanding how Gen Z allocates attention has become increasingly important. This literature review examines what current research reveals about Gen Z’s attention across social feeds, short-form video, creator content, streaming and emerging formats. The evidence suggests that Gen Z attention is not necessarily shorter, but faster, more selective and highly dependent on platform context, creative execution and brand familiarity.

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

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

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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Finding Your Brand’s AI Niche: How Prompt Nuance Shapes Product Recommendations

Finding Your Brand’s AI Niche: How Prompt Nuance Shapes Product Recommendations

  • Psychology of Gen AI
  • ARF; MSI

As generative AI becomes a key part of how consumers discover and evaluate products, a new question emerges for marketers: how can they ensure their brands show up in AI-driven recommendations? This ARF and MSI experiment, the second phase of the seventh study in the Psychology of Gen AI series, reveals that even small changes in prompt wording can significantly influence which brands appear—helping non-market dominant brands carve out visibility by aligning with specific product attributes rather than competing broadly for “best” status.

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Rethinking Influencers: A Behavioral Framework for the Creator Economy

Rethinking Influencers: A Behavioral Framework for the Creator Economy

  • ARF

Turns out there isn’t just one type of influencer. Some are content creators, while others focus more on self-presentation. Which type best represents your brand? This MSI working paper introduces a new behavioral framework that can help you decide. It’s for classifying influencers based on communication style and shows how content focus and self-focus shape engagement, reach and marketing effectiveness.

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Big vs. Small Influencers: Matching Follower Size to Message Strategy

Big vs. Small Influencers: Matching Follower Size to Message Strategy

  • ARF
  • JOURNAL OF ADVERTISING RESEARCH

Should brands partner with influencers who have massive followings—or smaller, more niche audiences? New research shows that the answer depends on how the message is delivered. Using construal level theory, the study finds that follower size signals psychological “social distance,” which shapes how consumers process influencer content. Smaller influencers are most persuasive when brand information is explicit and shared on their own channels, while mega-influencers perform better when branding is subtle or when content appears on brand-owned channels. The results suggest that aligning influencer follower size with message diagnosticity can significantly improve campaign effectiveness.

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Designing for Fit: How Model and Product Size Influence Consumer Evaluations

Designing for Fit: How Model and Product Size Influence Consumer Evaluations

  • ARF
  • JOURNAL OF ADVERTISING RESEARCH

Advertisers frequently feature both products and human models in print and digital campaigns—but how large each element appears relative to the other can significantly influence consumer responses. This Journal of Advertising Research study shows that the effectiveness of this visual design choice depends on product type. Across a field experiment and multiple online studies, the researchers find that hedonic products perform better when the model is larger than the product, while utilitarian products benefit when the product itself is larger than the model. The reason: these pairings create greater conceptual fluency for consumers, making the advertisement feel more cognitively “right” and leading to stronger product evaluations and purchase intentions.

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