Unexpected ads—like pop-ups and floaters—affect people’s attention and attitudes differently, depending on their location, the degree of unexpectedness and the user’s task level, new research has found. The study’s findings offer fresh evidence toward helping advertisers and website service providers design attention-grabbing ads.
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At the ARF’s Insights Studio on Navigating the Road to Cross-Platform Measurement, Nielsen provided details about Nielsen ONE, and how this solution enables marketers to gain visibility into total video consumption regardless of platform or device. The panel discussed the challenges of cross-platform measurement, including the decreasing reliance on cookies and the importance of consumer privacy and consent.
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Today, advertisers have the power to control media scheduling and increase the frequency of individual-level display-advertising exposures. But is it always a good idea to draw consumer’s attention this way? The popularity of ad-blocking software suggests not.
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Many studies have compared advertising effectiveness online and in print. Where that research has fallen short is in comparing the ways people divide their visual attention, specifically when using different devices and media. Here’s how a team of academics and practitioners took a neuroscientific approach to measured that response using biometrics.
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Synergy benefits in cross-media advertising are well-known. Much less is understood about the combined effects of television and online media on individual-level buying behaviors. A study involving the purchase cycle in China found that TV ads were more effective after prior online exposure in driving purchases, but not vice-versa.
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What has changed in the last year about U.S. consumers’ time spent on digital devices, the data they are willing to share, their understanding of websites’ privacy policies, and their trust levels? The ARF 2nd Annual Privacy Study answers these questions overall and for a number of population segments.
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Which segment base can help marketers accurately predict online shopping behaviors? This study used data from a German online apparel retailer to create a model that showed much more differentiated click-through behaviors resulting from segmenting by fashion and online-shopping attitudes, than by value-based segmentation.
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Most digital video ads are viewed soundlessly because either the user mutes them, or sound does not play automatically. As video advertising production accelerates, this study found that video ads created for “sound on” are less effective when viewed silently—and offers four strategies for creating successful digital video ads in soundless environments.