Trade-Offs in Online Advertising: Advertising Effectiveness and Annoyance Dynamics Across the Purchase Funnel
Vilma Todri (),
Anindya Ghose () and
Param Vir Singh ()
Additional contact information
Vilma Todri: Department of Information Systems and Operations Management, Emory University, Atlanta, Georgia 30322;
Anindya Ghose: Department of Information, Operations, and Management Sciences, New York University, New York, New York 10012;
Param Vir Singh: Department of Business Technologies, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213
Information Systems Research, 2020, vol. 31, issue 1, 102-125
Abstract:
Digital advertisers often harness technology-enabled advertising-scheduling strategies, such as ad repetition at the individual consumer level, in order to improve advertising effectiveness. However, such strategies might elicit annoyance in consumers as indicated by anecdotal evidence, such as the popularity of ad-blocking technologies. Our study captures this trade-off between effective and annoying display advertising. We propose a hidden Markov model that allows us to investigate both the enduring impact of display advertising on consumers’ purchase decisions and the potential of persistent display advertising to stimulate annoyance in consumers. Additionally, we study the structural dynamics of these advertising effects by allowing them to be contingent on the latent state of the funnel path in which each consumer resides. Our findings demonstrate that a tension exists between generating interest and triggering annoyance in consumers; whereas display advertising has an enduring impact on transitioning consumers further down the purchase funnel, persistent display advertising exposures beyond a frequency threshold can have an adverse effect by increasing the chances that consumers will be annoyed. Investigating the dynamics of these annoyance effects, we reveal that consumers who reside in different stages of the purchase funnel exhibit considerably different tolerance for annoyance stimulation. Our findings also reveal that the format of display advertisements and the level of diversification of ad creatives as well as consumer demographics moderate consumers’ thresholds for annoyance elicitation. For instance, advertisers can reduce annoyance elicitation as a result of frequent display advertising exposures when they use static rather than animated display ads as well as when they diversify the display ad creatives shown to consumers. Our paper contributes to the literature on digital advertising and consumer annoyance and has significant managerial implications for the online advertising ecosystem.
Keywords: consumer annoyance; dynamic models; hidden Markov models; digital advertising; ad repetition; purchase funnel (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)
Downloads: (external link)
https://doi.org/10.1287/isre.2019.0877 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:inm:orisre:v:31:y:2020:i:1:p:102-125
Access Statistics for this article
More articles in Information Systems Research from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().