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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On August 21, experts from Meta and the Kellogg School of Management at Northwestern University shared practical steps to achieve better measurement in an era of evolving data availability. Attendees walked away with new practical approaches for understanding marketing impact – whether they have access to robust experimentation.
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On July 16th, 2024 the ARF Cross Platform Measurement Council’s Attribution Working Group hosted this highly informative showcase on full funnel measurement. The event featured detailed case studies presented by leading measurement providers Optimine, TransUnion, and Data Poem, which had been selected by the Working Group from a pool of responses to a RFI that they had developed. Each demonstrated innovative approaches to cross-channel performance measurement and the benefits of these approaches. The event concluded with a panel discussion moderated by Kate Weymer, Director, Data Science at Microsoft, which provided further insights into the value of evaluating both short-term and long-term effects of media on outcomes and the impact of third-party cookie deprecation on their approaches.
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This study explores how divergent delivery in A-B testing affects the accuracy of online advertising experiments. It highlights the role of algorithmic targeting and user heterogeneity in confounding test results, offering guidance for marketers to improve their experimental designs.
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On June 26, Sequent Partners, with their panoramic perspective on the most important developments in marketing analytics, analyzed the most disruptive and revolutionary analytic applications and techniques impacting our world. Plus, attendees got a sneak peek of the themes featured in this year’s upcoming Marketing Analytics Accelerator.
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This study explores the potential of generative AI, specifically large language models (LLMs) and multimodal models (LMMs), to revolutionize generational study within consumer research. It examines how these advanced AI tools can enhance various stages of the research process, from idea generation to reporting.
Privacy regulations have served as the impetus for a renewed interest in contextual targeting. To be effective, an ad must be related to its context but different enough to stand out. This working paper from the Marketing Science Institute (MSI) at the ARF presents a comprehensive model leveraging eye-tracking data and XGBoost algorithms to forecast the effectiveness of ad placements in real time.
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Current existing methods used to calculate reach and frequency of a campaign or media schedule are known to have deficiencies in measuring cross-device ad exposure. Restrictions to protect digital privacy complicate cross-platform exposure measurement even further. Multiple global research organizations have turned to a concept known as “virtual people,” to overcome these limitations in order to produce aggregate reach and frequency estimates. This report by the ARF Analytics Council provides a foundational overview of VIDs for a broad audience, providing ARF members with a stronger understanding of this vital topic.
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