During Part 2 of our Insights Studio on Privacy experts from Neustar, Sallie Mae and the ARF examined what privacy changes mean for marketers. They discussed the importance of a mutually agreed upon value exchange between the consumer and the brand and the implications of the changing privacy frameworks for the targeting and measurement of advertising. Although there are challenges related to consumer privacy, regulatory issues and measurement, the panelists were optimistic about the potential for resolution.
View Part I here.
Today, it is more common than ever for consumers to access media and make decisions on the go. Marketers need to know how being in a state of mobility affects them in order to reach them with the right message at the right time. This study helps shed a little light on how such mobility itself may influence consumer thinking and behavior.
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Today, there is much discussion and debate on the definition of attention, how to measure it properly and whether we should be measuring it at all, or if inattention instead should be what we assess. Plus, is the highest form of attention always desired, or do we want low levels of attention for certain kinds of ads, such as emotional ones for TV? As a result of all these questions, the ARF has announced the Attention Validation Project. Its goals are to help define attention, evaluate the methods available to us and what their rightful application is, whether it be analyzing advertising creative or the media environment.
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Over the last dozen years, marketers have seen numerous analytical models surface to help guide data driven decision-making. Yet, many remain unsure of how trustworthy such models are. That’s why the Attribution Working Group of the ARF Cross-Platform Measurement Council put together this guidebook to help arm all stakeholders with a basic understanding of marketing performance model validation issues. This paper includes a set of considerations and questions that encourage and facilitate dialog between end clients and model providers about the performance of marketing performance models.
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