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Analytics & Data Science

Oracle Data Cloud Tackles Audience Quality

  • CMO BRIEF

$48 billion was spent on digital display advertising in the US in 2018. That’s up 5 percent from just a few years ago. Unfortunately, most advertisers are unaware of the need to focus on audience quality. Without doing so, consumers can be overwhelmed with messages or encounter irrelevant ones. They become annoyed or frustrated, resulting in missed opportunities and wasted resources.

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How Biometrics Can Capture Attention to TV Ads

  • Steven Bellman, Magda Nenycz-Thiel, Rachel Kennedy, and Nicole Hartnett—all at the Ehrenberg-Bass Institute for Marketing Science, University of South Australia; Duane Varan, MediaScience
  • JOURNAL OF ADVERTISING RESEARCH

What’s the best way to measure attention to TV ads when specific creative devices, like animals and voiceover, are used? In this study, three key biometrics—eye movements, sweating, and heart rate—responded differently to attention-getting tactics and to levels of consumer attention, but heart rate uniquely helped identify ineffective ads. 

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Will the TV Upfronts Survive?

  • SALON SERIES

How long will TV networks’ annual efforts to attract ad dollars, the “Upfronts,” continue to reign as the most important revenue-generating events of the year? Learn what agency and TV and measurement company executives shared about changes in Upfront marketplace effectiveness and how they predicted buying behavior will evolve.

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Reducing Time to Insight Through AI

  • Ben Royce, Head of Performance Data Science, Global Agency, Google.
  • Based on the ARF 11/8/18 Leadership Lab

Where is Google focusing its AI efforts in advertising? What learnings have emerged from their work? Find out what Ben Royce, Head of Performance Data Science, Global Agency, at Google shared on these topics.

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Academic Principles Add Consistency to Neuro Research

  • Thomas Zoëga Ramsøy
  • JOURNAL OF ADVERTISING RESEARCH

A recurring criticism of neuromarketing research is that the methods involved suffer from inconsistencies which can make results unreliable. This author offers a potential solution: a framework grounded in academic principles that practitioners and scholars can build on to not necessarily reinvent the wheel, but improve consistency and validation.

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ARF: How to Improve Digital Targets

The ARF has announced two new efforts to tackle data quality questions:

Data Labeling Initiative – with the ANA’s Data Marketing & Analytics division, the IAB Tech Lab, and the Coalition for Innovative Media Measurement (CIMM).

Data Validation Initiative – independently conducting research to determine whether surveys can be used to measure the accuracy of those targets.