While Randomized Controlled Trials (RCTs) are ideal for advertising measurement, it is not always feasible to conduct one. Until advertising platforms are willing to provide more information about how they deliver targeted ads or implement auctions, alternative observational methods are unlikely to reliably estimate causal effects. That includes utilizing newer machine learning techniques.
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The ARF hosted its annual audience measurement conference, AUDIENCExSCIENCE 2022, on April 12-14, 2022. The industry’s biggest names and brightest minds took part in spirited discussions and shared their latest work on the industry’s most pressing issues, such as the transition to a multi-currency market, measurement and media predictions and generational marketing. Keynotes were presented by author and professor at King’s College London, Bobby Duffy, CEO-Producer-Pundit, Evan Shapiro, and Paramount executives, John Halley and Colleen Fahey Rush.
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Which is more efficient when it comes to advantageous decision outcomes, marketing-mix metrics or financial metrics? Researchers in this award-winning MSI working paper investigated this question, basing their research on a behavioral framework and statistical model. On average, according to their sample, marketing-mix metrics are more effective than financial. Even so, managers seem more eager to use financial metrics, possibly, because they are easier to understand across the organization.
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On March 16, 2022, the ARF Cultural Effectiveness Council hosted a discussion on bias in the algorithms and models used by organizations, particularly those in advertising and marketing, to make selection or recommendation decisions. Speakers from Publicis Media, Twitter, Wunderman Thompson, Cassandra, and the University of Southern California shed light on why this issue arises, what its effects can be and how to contend with it. The session was moderated by Council Co-Chair Janelle James of Ipsos.
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