IDEAS home Printed from https://ideas.repec.org/a/eee/joinma/v30y2015icp34-45.html
   My bibliography  Save this article

Mobile Advertising: An Empirical Study of Temporal and Spatial Differences in Search Behavior and Advertising Response

Author

Listed:
  • Goh, Khim-Yong
  • Chu, Junhong
  • Wu, Jing

Abstract

Using clickstream panel data from an automobile ad campaign conducted on a mobile platform, we investigate the relevance of mobile advertising, the interrelationships between ad content, information search behavior, and advertising response. Temporally, we compare mobile users' search behavior and advertising response before and during a focal campaign event of an automobile show. Spatially, we examine their search behavior and advertising response in relation to their proximity to the show's location. Estimation results from individual-user random effects binary Logit and Poisson count models show that users' responses to mobile advertising are related to the depth and breadth of search and the ad content. While informative and persuasive ad content exhibits differential non-linear effects on the depth and breadth of search, they have similar effects on advertising response. Interestingly, spatial and temporal proximity of mobile ad campaigns may not lead to increased relevance of mobile campaigns; it depends on the type of ad content and the type of measure used to assess relevance.

Suggested Citation

  • Goh, Khim-Yong & Chu, Junhong & Wu, Jing, 2015. "Mobile Advertising: An Empirical Study of Temporal and Spatial Differences in Search Behavior and Advertising Response," Journal of Interactive Marketing, Elsevier, vol. 30(C), pages 34-45.
  • Handle: RePEc:eee:joinma:v:30:y:2015:i:c:p:34-45
    DOI: 10.1016/j.intmar.2014.12.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1094996814000681
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.intmar.2014.12.002?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Eric J. Johnson & Wendy W. Moe & Peter S. Fader & Steven Bellman & Gerald L. Lohse, 2004. "On the Depth and Dynamics of Online Search Behavior," Management Science, INFORMS, vol. 50(3), pages 299-308, March.
    2. Punj, Girish N & Staelin, Richard, 1983. "A Model of Consumer Information Search Behavior for New Automobiles," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 9(4), pages 366-380, March.
    3. Avi Goldfarb & Catherine Tucker, 2011. "Online Display Advertising: Targeting and Obtrusiveness," Marketing Science, INFORMS, vol. 30(3), pages 389-404, 05-06.
    4. Mandel, Naomi & Johnson, Eric J, 2002. "When Web Pages Influence Choice: Effects of Visual Primes on Experts and Novices," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 29(2), pages 235-245, September.
    5. Brucks, Merrie, 1985. "The Effects of Product Class Knowledge on Information Search Behavior," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 12(1), pages 1-16, June.
    6. Avi Goldfarb & Catherine Tucker, 2011. "Rejoinder--Implications of "Online Display Advertising: Targeting and Obtrusiveness"," Marketing Science, INFORMS, vol. 30(3), pages 413-415, 05-06.
    7. Kulkarni, Gauri & Ratchford, Brian T. & Kannan, P.K., 2012. "The Impact of Online and Offline Information Sources on Automobile Choice Behavior," Journal of Interactive Marketing, Elsevier, vol. 26(3), pages 167-175.
    8. Erik Brynjolfsson & Michael D. Smith, 2000. "Frictionless Commerce? A Comparison of Internet and Conventional Retailers," Management Science, INFORMS, vol. 46(4), pages 563-585, April.
    9. Petty, Richard E & Cacioppo, John T & Schumann, David, 1983. "Central and Peripheral Routes to Advertising Effectiveness: The Moderating Role of Involvement," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 10(2), pages 135-146, September.
    10. Patrali Chatterjee & Donna L. Hoffman & Thomas P. Novak, 2003. "Modeling the Clickstream: Implications for Web-Based Advertising Efforts," Marketing Science, INFORMS, vol. 22(4), pages 520-541, May.
    11. Robert J. Meyer, 1982. "A Descriptive Model of Consumer Information Search Behavior," Marketing Science, INFORMS, vol. 1(1), pages 93-121.
    12. Wendy W. Moe & Peter S. Fader, 2004. "Dynamic Conversion Behavior at E-Commerce Sites," Management Science, INFORMS, vol. 50(3), pages 326-335, March.
    13. Anindya Ghose & Sang Pil Han, 2011. "An Empirical Analysis of User Content Generation and Usage Behavior on the Mobile Internet," Management Science, INFORMS, vol. 57(9), pages 1671-1691, September.
    14. Moorthy, Sridhar & Ratchford, Brian T & Talukdar, Debabrata, 1997. "Consumer Information Search Revisited: Theory and Empirical Analysis," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 23(4), pages 263-277, March.
    15. Alan L. Montgomery & Shibo Li & Kannan Srinivasan & John C. Liechty, 2004. "Modeling Online Browsing and Path Analysis Using Clickstream Data," Marketing Science, INFORMS, vol. 23(4), pages 579-595, November.
    16. Randall Lewis & David Reiley, 2011. "Does Retail Advertising Work? Measuring the Effects of Advertising on Sales via a Controlled Experiment on Yahoo!," Working Paper series, University of East Anglia, Centre for Competition Policy (CCP) 2011-09, Centre for Competition Policy, University of East Anglia, Norwich, UK..
    17. Hollis, Nigel, 2005. "Ten Years of Learning on How Online Advertising Builds Brands," Journal of Advertising Research, Cambridge University Press, vol. 45(2), pages 255-268, June.
    18. Peter J. Danaher, 2007. "Modeling Page Views Across Multiple Websites with an Application to Internet Reach and Frequency Prediction," Marketing Science, INFORMS, vol. 26(3), pages 422-437, 05-06.
    19. Ackerberg, Daniel A, 2001. "Empirically Distinguishing Informative and Prestige Effects of Advertising," RAND Journal of Economics, The RAND Corporation, vol. 32(2), pages 316-333, Summer.
    20. Janiszewski, Chris, 1998. "The Influence of Display Characteristics on Visual Exploratory Search Behavior," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 25(3), pages 290-301, December.
    21. Sha Yang & Anindya Ghose, 2010. "Analyzing the Relationship Between Organic and Sponsored Search Advertising: Positive, Negative, or Zero Interdependence?," Marketing Science, INFORMS, vol. 29(4), pages 602-623, 07-08.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kim, Mingyung & Kim, Jeeyeon & Choi, Jeonghye & Trivedi, Minakshi, 2017. "Mobile Shopping Through Applications: Understanding Application Possession and Mobile Purchase," Journal of Interactive Marketing, Elsevier, vol. 39(C), pages 55-68.
    2. Ying Kai Liao & Chih Ying Wu & Giang Nu To Truong & Yen Thi Do, 2022. "The Roles of Service Recovery and Perceived Justice on Post-Recovery Satisfaction in M-Commerce," Sustainability, MDPI, vol. 14(22), pages 1-20, November.
    3. Brusch, Ines & Rappel, Nina, 2020. "Exploring the acceptance of instant shopping – An empirical analysis of the determinants of user intention," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).
    4. Iyer, Pramod & Davari, Arezoo & Mukherjee, Amaradri, 2018. "Investigating the effectiveness of retailers’ mobile applications in determining customer satisfaction and repatronage intentions? A congruency perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 44(C), pages 235-243.
    5. Fuentes, Christian & Bäckström, Kristina & Svingstedt, Anette, 2017. "Smartphones and the reconfiguration of retailscapes: Stores, shopping, and digitalization," Journal of Retailing and Consumer Services, Elsevier, vol. 39(C), pages 270-278.
    6. Mulier, Lana & Slabbinck, Hendrik & Vermeir, Iris, 2021. "This Way Up: The Effectiveness of Mobile Vertical Video Marketing," Journal of Interactive Marketing, Elsevier, vol. 55(C), pages 1-15.
    7. Fuentes, Christian & Svingstedt, Anette, 2017. "Mobile phones and the practice of shopping: A study of how young adults use smartphones to shop," Journal of Retailing and Consumer Services, Elsevier, vol. 38(C), pages 137-146.
    8. Mondal, Jalaluddin & Chakrabarti, Somnath, 2021. "Insights and anatomy of brand experience in app-based retailing (eRBX): Critical play of physical evidence and enjoyment," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bucklin, Randolph E. & Sismeiro, Catarina, 2009. "Click Here for Internet Insight: Advances in Clickstream Data Analysis in Marketing," Journal of Interactive Marketing, Elsevier, vol. 23(1), pages 35-48.
    2. Prabuddha De & Yu (Jeffrey) Hu & Mohammad S. Rahman, 2010. "Technology Usage and Online Sales: An Empirical Study," Management Science, INFORMS, vol. 56(11), pages 1930-1945, November.
    3. Kireyev, Pavel & Pauwels, Koen & Gupta, Sunil, 2016. "Do display ads influence search? Attribution and dynamics in online advertising," International Journal of Research in Marketing, Elsevier, vol. 33(3), pages 475-490.
    4. Amy Wenxuan Ding & Shibo Li & Patrali Chatterjee, 2015. "Learning User Real-Time Intent for Optimal Dynamic Web Page Transformation," Information Systems Research, INFORMS, vol. 26(2), pages 339-359, June.
    5. Park, Chang Hee, 2017. "Online Purchase Paths and Conversion Dynamics across Multiple Websites," Journal of Retailing, Elsevier, vol. 93(3), pages 253-265.
    6. Kannan, P.K. & Li, Hongshuang “Alice”, 2017. "Digital marketing: A framework, review and research agenda," International Journal of Research in Marketing, Elsevier, vol. 34(1), pages 22-45.
    7. Pallant, Jason I. & Danaher, Peter J. & Sands, Sean J. & Danaher, Tracey S., 2017. "An empirical analysis of factors that influence retail website visit types," Journal of Retailing and Consumer Services, Elsevier, vol. 39(C), pages 62-70.
    8. Nathan M. Fong, 2017. "How Targeting Affects Customer Search: A Field Experiment," Management Science, INFORMS, vol. 63(7), pages 2353-2364, July.
    9. Oliver Rutz & Randolph Bucklin, 2012. "Does banner advertising affect browsing for brands? clickstream choice model says yes, for some," Quantitative Marketing and Economics (QME), Springer, vol. 10(2), pages 231-257, June.
    10. Paramveer S. Dhillon & Sinan Aral, 2021. "Modeling Dynamic User Interests: A Neural Matrix Factorization Approach," Marketing Science, INFORMS, vol. 40(6), pages 1059-1080, November.
    11. Saeed Tajdini, 2023. "The effects of internet search intensity for products on companies’ stock returns: a competitive intelligence perspective," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(3), pages 352-365, September.
    12. Schröder, Nadine & Falke, Andreas & Hruschka, Harald & Reutterer, Thomas, 2019. "Analyzing the Browsing Basket: A Latent Interests-Based Segmentation Tool," Journal of Interactive Marketing, Elsevier, vol. 47(C), pages 181-197.
    13. Frank J. van Rijnsoever & Martin J. Dijst & Carolina Castaldi, 2009. "Involvement and use of multiple search channels in the automobile purchase process," Innovation Studies Utrecht (ISU) working paper series 09-06, Utrecht University, Department of Innovation Studies, revised Apr 2009.
    14. Weijia Dai & Hyunjin Kim & Michael Luca, 2016. "Which Firms Gain from Digital Advertising? Evidence from a Field Experiment," Harvard Business School Working Papers 17-025, Harvard Business School, revised Jan 2023.
    15. Chunhua Wu, 2015. "Matching Value and Market Design in Online Advertising Networks: An Empirical Analysis," Marketing Science, INFORMS, vol. 34(6), pages 906-921, November.
    16. Anindya Ghose & Avi Goldfarb & Sang Pil Han, 2013. "How Is the Mobile Internet Different? Search Costs and Local Activities," Information Systems Research, INFORMS, vol. 24(3), pages 613-631, September.
    17. Yanwen Wang & Chunhua Wu & Ting Zhu, 2019. "Mobile Hailing Technology and Taxi Driving Behaviors," Marketing Science, INFORMS, vol. 38(5), pages 734-755, September.
    18. Bayer, Emanuel & Srinivasan, Shuba & Riedl, Edward J. & Skiera, Bernd, 2020. "The impact of online display advertising and paid search advertising relative to offline advertising on firm performance and firm value," International Journal of Research in Marketing, Elsevier, vol. 37(4), pages 789-804.
    19. Sameer Mehta & Milind Dawande & Ganesh Janakiraman & Vijay Mookerjee, 2020. "Sustaining a Good Impression: Mechanisms for Selling Partitioned Impressions at Ad Exchanges," Information Systems Research, INFORMS, vol. 31(1), pages 126-147, March.
    20. Avi Goldfarb, 2014. "What is Different About Online Advertising?," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 44(2), pages 115-129, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:joinma:v:30:y:2015:i:c:p:34-45. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-interactive-marketing/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.