Retail Media Networks (RMNs) have emerged as one of the fastest-growing advertising channels in the U.S., transforming how brands reach and engage consumers. Leveraging first-party data, RMNs enable targeted, measurable campaigns across retailers’ ecosystems, opening a unique blend of performance-driven and brand-building opportunities. Learn about this emerging channel, including the commonalities and differences in how they are being used between advertisers and agencies, in this deep dive into RMNs.
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Can sanitized AI tools truly capture the nuance required for advertising and brand research? Is a less restrained one more likely to produce skewed results? This comparative deep dive, from ARF and MSI explores how two popular large language models—ChatGPT-4o and Grok 3—respond when prompted with complex topics. The findings highlight how content moderation affects not only tone and specificity, but the very boundaries of inquiry. For advertising researchers navigating sensitive brand perception topics, understanding these model tradeoffs is essential.
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The streaming landscape has never been more abundant—or more overwhelming. With over 1.7 million shows and movies across global platforms and 1,600+ FAST channels, audiences are inundated with choice. This ARF Knowledge at Hand report explores how fragmentation, option fatigue and algorithmic shortcomings affect content discovery and what media organizations are doing to reduce discovery friction and retain (even grow) engagement.
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