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Journal ArticleDOI

Using Internet Behavior to Deliver Relevant Television Commercials

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TLDR
In this article, a proof-of-concept experiment illustrates how Internet behavior can identify relevant television commercials that increase ad-effectiveness by raising attention and ad exposure by using web browsing behavior to make inferences about current ad relevance.
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This article is published in Journal of Interactive Marketing.The article was published on 2013-05-01. It has received 25 citations till now. The article focuses on the topics: Behavioral targeting & The Internet.

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Citations
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Buying Groceries in Brick and Click Stores: Category Allocation Decisions and the Moderating Effect of Online Buying Experience

TL;DR: In this paper, the authors provide a comprehensive analysis of the impact of category characteristics on the allocation pattern of multichannel grocery shoppers and find that category allocation decisions are affected not only by marketing mix differences between the online and offline channels, but also by intrinsic category characteristics like perceived purchase risk and shopping convenience.
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Consumer Neuroscience-Based Metrics Predict Recall, Liking and Viewing Rates in Online Advertising.

TL;DR: A significant correlation between neuroscience metrics and self-reported of ad effectiveness and the direct number of views on the YouTube channel is suggested, highlighting the validity of neuromarketing-based techniques for predicting the success of advertising responses.
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Online behavioral advertising: An integrative review

TL;DR: In this paper, the authors discuss the rapid proliferation in the algorithm-driven online tracking and profiling infrastructure, and the increasing business potential of online behavioral advertising, due to the increasing popularity of online advertising.
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Understanding programmatic TV advertising

TL;DR: In this paper, the authors describe how television is undergoing tremendous technological developments, which will enable marketers to direct commercial messages to more specific audiences at the individual and/or household level.
References
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Journal ArticleDOI

G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences

TL;DR: G*Power 3 provides improved effect size calculators and graphic options, supports both distribution-based and design-based input modes, and offers all types of power analyses in which users might be interested.
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Statistical Principles in Experimental Design

TL;DR: This chapter discusses design and analysis of single-Factor Experiments: Completely Randomized Design and Factorial Experiments in which Some of the Interactions are Confounded.
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Looking at pictures: affective, facial, visceral, and behavioral reactions

TL;DR: Responsibility specificity, particularly facial expressiveness, supported the view that specific affects have unique patterns of reactivity, and consistency of the dimensional relationships between evaluative judgments and physiological response emphasizes that emotion is fundamentally organized by these motivational parameters.
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The predictive validity of multiple-item versus single-item measures of the same constructs

TL;DR: The authors compared the predictive validity of single-item and multiple-item measures of attitude toward the ad (AAd) and attitude towards the brand (ABrand), which are two of the most widely measured constructs in marketing.
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