Television, the predominant advertisingmedium, is being transformed by the microtargetingcapabilitiesof set-topboxes (STBs).Byprocuring impressionsat the STB level (often denoted “programmatic television”), advertisers can now lower per-exposure costs and/or reach viewers most responsive to advertising creatives. Accordingly, this study uses a proprietary, household-level, singlesource data set...

The increasing popularity of social media has significantly changed user behavior and companies’ possibilities to engage in personalized advertising (targeted advertising based on user’s personal characteristics and preferences). Accordingly, there is a growing interest in the subject for business and scientific research. While the body of literature about social media grows in general, it surp...

This paper investigated the relationship between ethnic language in online and offline advertising and perceptions of advertiser cultural sensitivity. An experiment was conducted among bilingual Arabic/English speakers. In offline advertising, bilingual or Arabic-only ads were seen as more culturally sensitive than English-only ads. In online advertising, no overall differences in this percepti...

In online advertising, our aim is to match the advertisers with the most relevant users to optimize the campaign performance. In the pursuit of achieving this goal, multiple data sources provided by the advertisers or third-party data providers are utilized to choose the set of users according to the advertisers’ targeting criteria. In this paper, we present a framework that can be applied to a...

The healthy development of the Internet largely depends on the online advertisement which provides the financial support to the Internet. Click fraud, however, poses serious threat to the Internet ecosystem. It not only brings harm to the advertisers, but also damages the mutual trust between advertiser and ad agency. Click fraud prediction is a typical big data application in that we normally ...

This paper analyzes advertising incentives and strategies in specialized markets, where consumers’ decisions are dictated by experts. By analyzing the market stealing and market expanding aspects of advertising, this study shows that in a sub-game perfect equilibrium only some (and not all) firms may choose to advertise to consumers. From the welfare perspective, consumer advertising is sociall...

We consider the problem of adaptive targeting for real-time bidding for internet advertisement. This problem involves making fast decisions on whether to show a given ad to a particular user. For demand partners, these decisions are based on information extracted from big data sets containing records of previous impressions, clicks and subsequent purchases. We discuss several criteria which all...

The increasing availability of individual-level data has raised the standards for measurability and accountability in digital advertising. Using a massive individual-level data set, our paper captures the effectiveness of display advertising across a wide range of consumer behaviors. Two unique features of our data set that distinguish this paper from prior work are: (i) the information on the ...

Many studies focused on detecting and measuring the security and privacy risks associated with the integration of advertising libraries in mobile apps. These studies consistently demonstrate the abuses of existing ad libraries. However, to fully assess the risks of an app that uses an advertising library, we need to take into account not only the current behaviors but all of the allowed behavio...

Although there is much practical interest in Web advertising as a component of marketing on the Internet, there is little theory or evidence about how it works in the context of Web content. This paper reports a laboratory experiment that examines the impact of advertising format (less or more intrusive), medium (print or Web) and Web content structure (linear or non-linear) on a broad range of...