Interracial Images in Advertising
A JAR “Digital First” paper explores the impact of interracial images in advertising on consumer responses. Read more »
A JAR “Digital First” paper explores the impact of interracial images in advertising on consumer responses. Read more »
A major new study from DoubleVerify (DV) reports both progress and ongoing problems in digital advertising. Viewability rates are improving while the number of ad fraud schemes uncovered by DV spiked up 70% in 2021.
Random controlled experiments for A/B testing help improve things like a company's marketing or customer service. However, individually optimizing interventions may not always capture interactions across the entire purchase decision journey. To optimize interventions more holistically, use a Bayesian reinforcement learning model. It can integrate multiple historical experiments, which can improve both current impact as well as future learning.
Member Only AccessPete Doe (Xandr) and Caroline Horner (605) provided a case study of their partnership that derived results from alternative currency measurement with buy and sell side perspectives. Xandr’s nimble workflow method enabled 605’s shift from advanced targeting to a very specific, custom-built, “persuadable” target audience with a range between 2 to 10x increase in outcomes.
Member Only AccessThese presenters were all true believers in the value of attention.
Member Only AccessDatagraphs capture how people work, play, learn, socialize, transact, travel and any other activity that can be associated with commerce.
A two-day ARF event focused on new insights into changes in shopping behaviors and retailer strategies.
Changes in privacy legislation, the deprecation of the third-party cookie, and new rules on Google and Apple platforms have set the stage for the impending data disruption in the advertising industry, as outlined in IAB’s State of Data 2022 report and OptiMine’s overview on Google Topics. Both presentations and the subsequent panel discussion in this Insights Studio session emphasized the unavoidable impact the loss of individual tracking will have on measurement and attribution and urged marketers to act quickly to prepare for the effects on revenues.
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