The effects of mobile targeting

Xueming Luo, Michelle Andrews, Zheng Fang, Chee Wei Phang

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

Abstract

Mobile technologies enable marketers to target consumers by time and location. This study builds on a large-scale randomized experiment of SMS sent to 12,265 mobile users. Per the contextual marketing theory, we hypothesize how different combinations of mobile targeting determine consumer responses. We identify that temporal targeting and geographical targeting individually increase sales purchases. Surprisingly, the sales effects of employing these two strategies simultaneously are not straightforward. When targeting proximal mobile users, our findings reveal a negative sales-lead time relationship; sending same-day mobile promotions yields an increase in the odds of consumer purchases by 76% compared to sending them two-day prior. However, when targeting non-proximal mobile users, there is an inverted-U, curvilinear relationship. Sending one-day prior SMSs yields an increase in the odds of consumer purchases by 9.5 times compared to same-day SMSs, and an increase in the odds of consumer purchases by 71% compared to two-day prior SMSs.

Original languageEnglish
Title of host publicationInternational Conference on Information Systems (ICIS 2013)
Subtitle of host publicationReshaping Society Through Information Systems Design
Pages3863-3881
Number of pages19
Publication statusPublished - 2013
Externally publishedYes
EventInternational Conference on Information Systems, ICIS 2013 - Milan, Italy
Duration: 15 Dec 201318 Dec 2013

Publication series

NameInternational Conference on Information Systems (ICIS 2013): Reshaping Society Through Information Systems Design
Volume5

Conference

ConferenceInternational Conference on Information Systems, ICIS 2013
Country/TerritoryItaly
CityMilan
Period15/12/1318/12/13

Keywords

  • Mobile commerce
  • Mobile targeting
  • Randomized field experiment

ASJC Scopus subject areas

  • Computer Science Applications
  • Statistics, Probability and Uncertainty
  • Applied Mathematics
  • Library and Information Sciences

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