$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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Earlier this year, Google announced they plan to stop individual ad tracking. Apple is also altering the landscape of the advertising ecosystem with its iOS 14 IDFA (Identifier for Advertisers) update. Ad targeting, personalization, measurement and fraud detection are predicted to be negatively impacted and the implications — and potential revenue loss — for brands, ad networks, publishers are huge.
At this Insights Studio: Member Broadcast, OptiMine, Havas Media and CIMM discussed exactly how Google and Apple’s changes will impact you and why they matter, how brands should think about future-proofing their advertising measurement in an environment of increased data privacy and strategies for future success.
Speakers:
Matt Voda — CEO, OptiMine
Sargi Mann — EVP, Digital Strategy, Havas Media
Moderator: Jane Clarke — CEO, Managing Director, CIMM
ARF research initiatives tackle the industry’s most pressing questions. So where can you find this year’s itinerary? Announcing the 2021 research agenda. Projects include: assessing whether brand loyalty is still the norm, examining privacy issues—including those related to COVID, exploring changes in organizations’ research and analytics functions, investigating the sharing of streaming service passwords and how viewers use the apps, recording and evaluating how brands handled 2020 and the impact of those decisions, and much, much more.
This event was suggested by the ARF’s LA Media Research Council in the aftermath of the poor performance of last November’s election polls. Council members felt that the discussions about polling could impact trust in consumer and media research and that we should explore what research suppliers are doing to implement Best Practices.
Research Quality has always been a key issue for the ARF. Most recently, an ARF event about the November polls found that while some issues are unique to political polling, many impact all survey research, for example, obtaining representative samples while response rates are declining, validity of responses, and predicting behavior and attitude trends.
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The ARF and Sequent Partners paired to present the Attribution & Analytics Accelerator©, a rigorous four-day forum focused exclusively on attribution, marketing mix models and the science of marketing performance measurement. The boldest and brightest minds took the stage to share the latest industry innovations – real case studies were supplemented with in-depth discussions led by moderators who knew what to ask. The Accelerator featured high-profile experts and marketers on the front lines who debated new solutions and addressed unmet technical needs.
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Surveys are a necessary tool for exploring consumer behavior, attitudes and intentions. They provide valuable data to help make informed business decisions. However, quality matters and ignoring best practices impacts the validity and reliability of findings, which might make the data unusable.
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Cross-platform media measurement has never been more crucial. Fortunately, industry experts met recently at the 10th Annual CIMM Cross-Platform Video Measurement & Data Summit to discuss recent advancements across the industry, and what needs to be done to arrive at solutions. CIMM CEO and Managing Director Jane Clarke opened this year’s virtual event by outlining the organization’s vision for developing more effective cross-media measurement. She revealed the “building blocks” to such an endeavor: TV census-like data, digital census data, cross-media or “Linked” panels and ID resolution. Clarke also outlined the state of measurement as it stands now.
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Establishing causality in the TV advertising-to-sales relationship, ideally, is studied through randomized trials, which match respondents to exposure and non-exposure groups. Given the difficulties of such experiments, analysis of observational data, alternatively, can reveal links between ad campaigns and sales. But new research shows how failure to control for variants can produce misleading signals to advertisers.
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