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When Does Retargeting Work? Information Specificity in Online Advertising

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TLDR
In this article, the authors use data from a field experiment conducted by an online travel firm to examine whether dynamic retargeted ads are more effective than simply showing generic brand ads.
Abstract
Firms can now offer personalized recommendations to consumers who return to their website, using consumers' previous browsing history on that website. In addition, online advertising has greatly improved in its use of external browsing data to target Internet ads. Dynamic retargeting integrates these two advances by using information from the browsing history on the firm's website to improve advertising content on external websites. When surfing the Internet, consumers who previously viewed products on the firm's website are shown ads with images of those same products. To examine whether this is more effective than simply showing generic brand ads, the authors use data from a field experiment conducted by an online travel firm. Surprisingly, the data suggest that dynamic retargeted ads are, on average, less effective than their generic equivalents. However, when consumers exhibit browsing behavior that suggests their product preferences have evolved (e.g., visiting review websites), dynamic retargeted ad...

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Citations
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Journal ArticleDOI

Does Corporate Reputation Matter? Role of Social Media in Consumer Intention to Purchase Innovative Food Product

TL;DR: In this paper, the authors investigate the relationship between corporate reputation and intention towards food innovation along with the other components of TPB model with an extension of social media engagement and find that social media has a significant role to play in creating intention to purchase innovative food products.
Proceedings Article

Generating consumer insights from big data clickstream information and the link with transaction-related shopping behavior

TL;DR: This work proposes a new and interdisciplinary method to identify goals of consumers and develop an online shopping typology and uses k-means clustering and non-parametric analysis of variance tests to categorize search patterns as Buying, Searching, Browsing or Bouncing.
Journal ArticleDOI

Experience Effect in the Impact of Free Trial Promotions

TL;DR: This data indicates that the use of free samples across individuals with varying levels of usage has yet to be systematically examined, and the models used to estimate these effects are likely to beconservative.
Book ChapterDOI

Künstliche Intelligenz und potenzielle Anwendungsfelder im Marketing

TL;DR: Kunstliche Intelligenz (KI) is ein Trend, welcher derzeit fur kontroverse Diskussionen sorgt as discussed by the authors, and furchten Menschen mogliche Folgen einer fehlgeleiteten Superintelligenz nach dem Beispiel von bekannten Filmen.
Journal ArticleDOI

Field Experiments in Marketing

TL;DR: In this article, the authors explore what this means for marketing researchers, and the subtleties of designing field experiments for research, and give guidelines for interpretation and describe the potential advantages and disadvantages of this methodology for classic areas of marketing.
References
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Book ChapterDOI

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Journal ArticleDOI

Amazon's Mechanical Turk A New Source of Inexpensive, Yet High-Quality, Data?

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Journal ArticleDOI

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Journal Article

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TL;DR: This work compares three common approaches to solving the recommendation problem: traditional collaborative filtering, cluster models, and search-based methods, and their algorithm, which is called item-to-item collaborative filtering.
Journal ArticleDOI

Marketing in Hypermedia Computer-Mediated Environments: Conceptual Foundations

TL;DR: The authors address the role of marketing in hypermedia computer-mediated environments by considering hypermedia CMEs to be large-scale (i.e., national or global) networked enviro...
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