AI is transforming how organizations generate insights and forecast outcomes, but questions remain about reliability and the need for human oversight. On September 14-15 in NYC, industry and academic leaders gathered to discuss integrating AI into analytics workflows and maintaining transparency.
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Getting noticed is only the beginning. As consumers discover brands through search engines, social platforms, creators, retail environments and AI-powered tools, visibility alone no longer guarantees relevance or consideration. In her latest article for The Advertising Club of New York, Tracy Adams, PhD, Senior Director of Research & Insights at the ARF, examines how the changing discovery landscape is reshaping the relationship between brands and consumers. Drawing on recent ARF and industry research, she explores why recognition, relevance, credibility and trust are increasingly important to turning brand exposure into meaningful consumer engagement.
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AI-optimized, omnichannel campaigns are changing how media are planned, activated and measured. Drawing on in-depth interviews with advertisers and providers, the ARF Cross-Platform Measurement Council’s Attribution Working Group examined omnichannel campaign tools such as Google Performance Max and Meta Advantage+, exploring their potential to simplify execution, optimize across channels and improve performance. Their research also identified important tradeoffs, including transparency, testing capabilities and ongoing measurement and governance challenges.
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Generative AI is becoming an active participant in the purchase journey, helping consumers compare products, interpret information and select among alternatives. Based on a survey of 500 adults who use AI at least weekly and have used it for shopping or product research, the latest report in the ARF and MSI Psych of Gen AI series examines how much of the decision process consumers are willing to delegate, where they still insist on control and what their growing reliance on AI means for marketers.
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Generative AI is changing how advertising creative is developed—but not by replacing human creativity. Drawing on interviews with industry leaders and a broad review of emerging research, this ARF Creative Council white paper examines how AI is being used across the creative process, from briefing and ideation to personalization and optimization. It explores where AI delivers the greatest value today, the risks organizations continue to navigate and why human judgment remains central to producing distinctive, effective advertising.
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As consumers add AI-powered search engines to their information routines, their behavior changes with the platform and purpose of the search. An observational study of 848 real-world searches found that traditional search still dominated while AI-powered search was used more often for advice-seeking, drew substantially longer queries and produced fewer outbound clicks. The findings suggest that advertisers may need to rethink long-tail keyword strategies, website optimization and ad models as search behavior becomes divided across traditional and generative platforms.
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