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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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Insight is power: Understanding the terms of the consumer-firm data exchange

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Free Shipping Promotions and Product Returns

TL;DR: In this article, the authors studied the influence of free shipping promotions on consumers' purchases, return behavior, and firm profit, and found that free shipping can influence consumers' return behavior and return behavior.
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Behaviorally targeted location-based mobile marketing

TL;DR: Zhang et al. as mentioned in this paper suggest that location-based mobile marketing efficacy depends on its potential to minimize consumer reactance, which can be achieved by effectively combining location targeting (in-store vs. out-store), behavioral targeting (based on consumers’ product category involvement [PCI]), and the type of promotion offered (price vs. non-price promotion).
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The female gaze: Content composition and slot position in personalized banner ads, and how they influence visual attention in online shoppers

TL;DR: In this paper, the authors analyzed the interaction effects of ad slot position (content relevance, top-center or right sidebar slot on portal site) and content composition (image-text ratio, discount information, use of models) on relevant eye movement data.
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Advertising to Early Trend Propagators: Evidence from Twitter

TL;DR: Throughout both field tests, it is consistently found that early propagators of trends are less responsive to advertising than consumers who embrace trends later.
References
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Book ChapterDOI

Regression Models and Life-Tables

TL;DR: The analysis of censored failure times is considered in this paper, where the hazard function is taken to be a function of the explanatory variables and unknown regression coefficients multiplied by an arbitrary and unknown function of time.
Journal ArticleDOI

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

TL;DR: Findings indicate that MTurk can be used to obtain high-quality data inexpensively and rapidly and the data obtained are at least as reliable as those obtained via traditional methods.
Journal ArticleDOI

Interaction terms in logit and probit models

TL;DR: In this article, the authors present the correct way to estimate the magnitude and standard errors of the interaction effect in nonlinear models, which is the same way as in this paper.
Journal Article

Industry Report: Amazon.com Recommendations: Item-to-Item Collaborative Filtering.

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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