qualitative

The State of Retail Media Networks & Consumer Behavior

The State of Retail Media Networks & Consumer Behavior

  • Shopper 2025

On May 21, the industry’s top minds gathered in Chicago for a look at the future of retail, media, and consumer behavior and dove into the rapidly evolving role of Retail Media Networks (RMNs). Attendees gained actionable insights on the opportunities and challenges that RMNs present. Leading experts led discussions on optimizing RMN investments, navigating sales attribution complexities, adopting an "omni-normal" approach to connect with shoppers across all touchpoints, harnessing AI for brands and consumers, and more.

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Learn About the Benefits, Limitations and Dangers of Using LLMs in Advertising Research

Learn About the Benefits, Limitations and Dangers of Using LLMs in Advertising Research

  • By ARF
  • Knowledge at Hand

This report offers an abridged version of the cumulative 2025 AI handbook, exploring the benefits, limitations and dangers of generative AI models when employed in various tasks associated with marketing and advertising research. This report sums up the insights from several experiments where ARF researchers tested AI's capabilities in survey design, sentiment analysis, coding open-ended responses, language translation and addressing AI risks.

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OTT 2024: Today's Dynamic Media Landscape -- What's Next?

OTT 2024: Today's Dynamic Media Landscape -- What's Next?

Attendees joined us on October 23 for our annual OTT conference, offering the latest research on shifts in the TV and video landscape, viewer behavior, and cross-platform measurement. Industry experts discussed trends in viewing habits, advertising innovations, and predictions for 2025. Attendees also had the opportunity to participate in discussions and network with industry peers over breakfast, lunch, and the cocktail reception.

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AI for Data Analysis in Marketing and Advertising

AI for Data Analysis in Marketing and Advertising

Attendees joined ARF in NYC for two workshops – a morning session tailored for professionals without a background in coding, and an afternoon session for data scientists, analysts, engineers, and other data science professionals – that highlighted how to utilize LLMs to analyze example datasets. Additionally, attendees had the chance to participate in real-time AI tool demonstrations.

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