6,276 research outputs found

    Inefficiencies in Digital Advertising Markets

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    Digital advertising markets are growing and attracting increased scrutiny. This article explores four market inefficiencies that remain poorly understood: ad effect measurement, frictions between and within advertising channel members, ad blocking, and ad fraud. Although these topics are not unique to digital advertising, each manifests in unique ways in markets for digital ads. The authors identify relevant findings in the academic literature, recent developments in practice, and promising topics for future research

    Spartan Daily, August 28, 2007

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    Volume 129, Issue 2https://scholarworks.sjsu.edu/spartandaily/10374/thumbnail.jp

    Interactive Food and Beverage Marketing: Targeting Children and Youth in the Digital Age

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    Looks at the practices of food and beverage industry marketers in reaching youth via digital videos, cell phones, interactive games and social networking sites. Recommends imposing governmental regulations on marketing to children and adolescents

    The Santa Clara, 2019-02-07

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    https://scholarcommons.scu.edu/tsc/1085/thumbnail.jp

    v. 82, issue 12, February 12, 2015

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    Advertising as a Reminder:Evidence from the Dutch State Lottery

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    We use high frequency data on TV and radio advertising together with data on online sales for lottery tickets to measure the short run effects of advertising. We find them to be strong and to last for up to about 4 hours. They are the bigger the less time there is until the draw. We develop the argument that this finding is consistent with the idea that advertisements remind consumers to buy a ticket and that consumers value this. Then, we point out that in terms of timing the interests of the firm and the consumers are aligned: consumers wish to be reminded in a way that makes them most likely to consider buying a lottery ticket. We present direct evidence that this does not only affect the timing of purchases, but leads to market expansion. Then, we develop a tractable dynamic structural model of consumer behavior, estimate the parameters of this model and simulate the effects of a number of counterfactual dynamic advertising strategies. We find that relative to the actual schedule it would be valued by the consumers and profitable for the firm to spread advertising less over time and move it to the last days before the draw
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