How is the loss of digital identifiers reshaping advertising research? This guide, by the ARF Analytics Council, offers advertising researchers a deep dive into the privacy-first landscape, covering regulatory impacts, measurement challenges and practical identity solutions—from synthetic IDs to advanced modeling—to enable successful targeting and attribution in a fragmented ecosystem.
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One technique that offers a treasure trove of insights into consumer behavior is “web scraping.” Although worthwhile, using it to gather data requires a specific, methodological approach. Otherwise, validity is threatened. This MSI working paper addresses how researchers should go about web scraping in order to ensure design transparency, analytic reproducibility, analytic robustness, replicability and generalizability of effects.
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Retail media networks (RMNs) are rapidly becoming one of the largest and fastest-growing ad verticals in the U.S., offering personalized ads across retailers’ ecosystems. These networks also provide brands with targeted ads and higher conversion rates, while retailers gain new revenue streams and enhanced shopping experiences.
Despite staggering growth, RMNs face many challenges as they continue to grow globally, including a lack of standardization across networks, measurement difficulties, rising costs and complexity. Agencies face additional issues, such as teams lacking the necessary expertise to help clients navigate RMNs.
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On June 25, OptiMine dove into the specifics of Google’s privacy changes and revealed how these changes will impact the marketing and measurement landscape. Traditional forms of measurement will no longer be viable as privacy-driven data loss continues to diminish accuracy, coverage and reliability. Attendees gained applicable strategies on how their brands can adapt before it’s too late.
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