IDEAS home Printed from https://ideas.repec.org/a/eee/jouret/v91y2015i3p390-409.html
   My bibliography  Save this article

The Importance of Trust for Personalized Online Advertising

Author

Listed:
  • Bleier, Alexander
  • Eisenbeiss, Maik

Abstract

With the amount of online advertising on a steady rise, generic ads noticeably lose effectiveness. In order to break through the clutter, retailers employ a method called retargeting to tailor their advertisements to individual consumers based on inferred interests and preferences. However, while personalization should generally make ads more appealing, the authors use field data to show that the effectiveness of retargeting considerably hinges on consumers’ trust in a respective retailer. To uncover the underlying mechanisms of this phenomenon, they investigate how trust moderates the impact of ad personalization on consumers’ internal and external responses in the lab. They propose a two-dimensional conceptualization of ad personalization: First, a banner's personalization depth defines how closely the ad reflects a consumer's interests. Second, its personalization breadth determines how completely the banner reflects these interests. The lab results show that more trusted retailers can increase the perceived usefulness of their ads through a combination of high depth and narrow breadth of personalization without eliciting increased reactance or privacy concerns. On the other hand, for less trusted retailers, banners with higher depth are not perceived more useful, but instead trigger increased reactance and privacy concerns, regardless of their personalization breadth. These effects directly translate into consumers’ click-through intentions so that retailers should adjust their personalization strategies accordingly in order to increase the effectiveness of their online advertising.

Suggested Citation

  • Bleier, Alexander & Eisenbeiss, Maik, 2015. "The Importance of Trust for Personalized Online Advertising," Journal of Retailing, Elsevier, vol. 91(3), pages 390-409.
  • Handle: RePEc:eee:jouret:v:91:y:2015:i:3:p:390-409
    DOI: 10.1016/j.jretai.2015.04.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0022435915000263
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jretai.2015.04.001?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. Clee, Mona A & Wicklund, Robert A, 1980. "Consumer Behavior and Psychological Reactance," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 6(4), pages 389-405, March.
    2. Bharat Anand & Ron Shachar, 2009. "Targeted advertising as a signal," Quantitative Marketing and Economics (QME), Springer, vol. 7(3), pages 237-266, September.
    3. Robert J. Fisher & Laurette Dub, 2005. "Gender Differences in Responses to Emotional Advertising: A Social Desirability Perspective," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 31(4), pages 850-858, March.
    4. Avi Goldfarb & Catherine Tucker, 2011. "Online Display Advertising: Targeting and Obtrusiveness," Marketing Science, INFORMS, vol. 30(3), pages 389-404, 05-06.
    5. Kar Yan Tam & Shuk Ying Ho, 2005. "Web Personalization as a Persuasion Strategy: An Elaboration Likelihood Model Perspective," Information Systems Research, INFORMS, vol. 16(3), pages 271-291, September.
    6. 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.
    7. 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.
    8. Olivero, Nadia & Lunt, Peter, 2004. "Privacy versus willingness to disclose in e-commerce exchanges: The effect of risk awareness on the relative role of trust and control," Journal of Economic Psychology, Elsevier, vol. 25(2), pages 243-262, April.
    9. B. P. S. Murthi & Sumit Sarkar, 2003. "The Role of the Management Sciences in Research on Personalization," Management Science, INFORMS, vol. 49(10), pages 1344-1362, October.
    10. Alexander Bleier & Maik Eisenbeiss, 2015. "Personalized Online Advertising Effectiveness: The Interplay of What, When, and Where," Marketing Science, INFORMS, vol. 34(5), pages 669-688, September.
    11. Albert Satorra & Peter Bentler, 2001. "A scaled difference chi-square test statistic for moment structure analysis," Psychometrika, Springer;The Psychometric Society, vol. 66(4), pages 507-514, December.
    12. Aguirre, Elizabeth & Mahr, Dominik & Grewal, Dhruv & de Ruyter, Ko & Wetzels, Martin, 2015. "Unraveling the Personalization Paradox: The Effect of Information Collection and Trust-Building Strategies on Online Advertisement Effectiveness," Journal of Retailing, Elsevier, vol. 91(1), pages 34-49.
    13. Mitra, Anusree & Lynch, John G, Jr, 1995. "Toward a Reconciliation of Market Power and Information Theories of Advertising Effects on Price Elasticity," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 21(4), pages 644-659, March.
    14. Gefen, David, 2000. "E-commerce: the role of familiarity and trust," Omega, Elsevier, vol. 28(6), pages 725-737, December.
    15. Jodlbauer, Barbara & Jonas, Eva, 2011. "Forecasting clients’ reactions: How does the perception of strategic behavior influence the acceptance of advice?," International Journal of Forecasting, Elsevier, vol. 27(1), pages 121-133.
    16. Ran Kivetz, 2005. "Promotion Reactance: The Role of Effort-Reward Congruity," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 31(4), pages 725-736, March.
    17. Kim, Kyongseok & Kim, Jooyoung, 2011. "Third-party Privacy Certification as an Online Advertising Strategy: An Investigation of the Factors Affecting the Relationship between Third-party Certification and Initial Trust," Journal of Interactive Marketing, Elsevier, vol. 25(3), pages 145-158.
    18. Jodlbauer, Barbara & Jonas, Eva, 2011. "Forecasting clients' reactions: How does the perception of strategic behavior influence the acceptance of advice?," International Journal of Forecasting, Elsevier, vol. 27(1), pages 121-133, January.
    19. Tiffany White & Debra Zahay & Helge Thorbjørnsen & Sharon Shavitt, 2008. "Getting too personal: Reactance to highly personalized email solicitations," Marketing Letters, Springer, vol. 19(1), pages 39-50, March.
    20. Michael Braun & Wendy W. Moe, 2013. "Online Display Advertising: Modeling the Effects of Multiple Creatives and Individual Impression Histories," Marketing Science, INFORMS, vol. 32(5), pages 753-767, September.
    21. D. Harrison McKnight & Vivek Choudhury & Charles Kacmar, 2002. "Developing and Validating Trust Measures for e-Commerce: An Integrative Typology," Information Systems Research, INFORMS, vol. 13(3), pages 334-359, September.
    22. Thomas Kramer & Ryall Carroll, 2009. "The effect of incidental out-of-stock options on preferences," Marketing Letters, Springer, vol. 20(2), pages 197-208, June.
    23. Tamara Dinev & Paul Hart, 2006. "An Extended Privacy Calculus Model for E-Commerce Transactions," Information Systems Research, INFORMS, vol. 17(1), pages 61-80, March.
    24. Jenny Doorn & Janny Hoekstra, 2013. "Customization of online advertising: The role of intrusiveness," Marketing Letters, Springer, vol. 24(4), pages 339-351, December.
    25. Urban, Glen L. & Amyx, Cinda & Lorenzon, Antonio, 2009. "Online Trust: State of the Art, New Frontiers, and Research Potential," Journal of Interactive Marketing, Elsevier, vol. 23(2), pages 179-190.
    26. Steenkamp, Jan-Benedict E M & Baumgartner, Hans, 1998. "Assessing Measurement Invariance in Cross-National Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 25(1), pages 78-90, June.
    27. Naresh K. Malhotra & Sung S. Kim & James Agarwal, 2004. "Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model," Information Systems Research, INFORMS, vol. 15(4), pages 336-355, December.
    28. Gavan J. Fitzsimons & Donald R. Lehmann, 2004. "Reactance to Recommendations: When Unsolicited Advice Yields Contrary Responses," Marketing Science, INFORMS, vol. 23(1), pages 82-94, September.
    29. Chernev, Alexander, 2003. "When More Is Less and Less Is More: The Role of Ideal Point Availability and Assortment in Consumer Choice," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 30(2), pages 170-183, September.
    30. Gerald Häubl & Valerie Trifts, 2000. "Consumer Decision Making in Online Shopping Environments: The Effects of Interactive Decision Aids," Marketing Science, INFORMS, vol. 19(1), pages 4-21, May.
    31. Tucker, Catherine E., 2012. "The economics of advertising and privacy," International Journal of Industrial Organization, Elsevier, vol. 30(3), pages 326-329.
    Full references (including those not matched with items on IDEAS)

    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. Bleier, Alexander & Goldfarb, Avi & Tucker, Catherine, 2020. "Consumer privacy and the future of data-based innovation and marketing," International Journal of Research in Marketing, Elsevier, vol. 37(3), pages 466-480.
    2. Aguirre, Elizabeth & Mahr, Dominik & Grewal, Dhruv & de Ruyter, Ko & Wetzels, Martin, 2015. "Unraveling the Personalization Paradox: The Effect of Information Collection and Trust-Building Strategies on Online Advertisement Effectiveness," Journal of Retailing, Elsevier, vol. 91(1), pages 34-49.
    3. Beke, Frank T. & Eggers, Felix & Verhoef, Peter C. & Wieringa, Jaap E., 2022. "Consumers’ privacy calculus: The PRICAL index development and validation," International Journal of Research in Marketing, Elsevier, vol. 39(1), pages 20-41.
    4. Jan Krämer & Daniel Schnurr & Michael Wohlfarth, 2019. "Winners, Losers, and Facebook: The Role of Social Logins in the Online Advertising Ecosystem," Management Science, INFORMS, vol. 65(4), pages 1678-1699, April.
    5. Krafft, Manfred & Arden, Christine M. & Verhoef, Peter C., 2017. "Permission Marketing and Privacy Concerns — Why Do Customers (Not) Grant Permissions?," Journal of Interactive Marketing, Elsevier, vol. 39(C), pages 39-54.
    6. Kurt P. Munz & Minah H. Jung & Adam L. Alter, 2020. "Name Similarity Encourages Generosity: A Field Experiment in Email Personalization," Marketing Science, INFORMS, vol. 39(6), pages 1071-1091, November.
    7. Potoglou, Dimitris & Palacios, Juan & Feijoo, Claudio & Gómez Barroso, Jose-Luis, 2015. "The supply of personal information: A study on the determinants of information provision in e-commerce scenarios," 26th European Regional ITS Conference, Madrid 2015 127174, International Telecommunications Society (ITS).
    8. David A. Schweidel & Yakov Bart & J. Jeffrey Inman & Andrew T. Stephen & Barak Libai & Michelle Andrews & Ana Babić Rosario & Inyoung Chae & Zoey Chen & Daniella Kupor & Chiara Longoni & Felipe Thomaz, 2022. "How consumer digital signals are reshaping the customer journey," Journal of the Academy of Marketing Science, Springer, vol. 50(6), pages 1257-1276, November.
    9. Potoglou, Dimitris & Palacios, Juan-Francisco & Feijóo, Claudio, 2015. "An integrated latent variable and choice model to explore the role of privacy concern on stated behavioural intentions in e-commerce," Journal of choice modelling, Elsevier, vol. 17(C), pages 10-27.
    10. Trampe, Debra & Konuş, Umut & Verhoef, Peter C., 2014. "Customer Responses to Channel Migration Strategies Toward the E-channel," Journal of Interactive Marketing, Elsevier, vol. 28(4), pages 257-270.
    11. Tucker, Catherine E., 2012. "The economics of advertising and privacy," International Journal of Industrial Organization, Elsevier, vol. 30(3), pages 326-329.
    12. Kelly D. Martin & Patrick E. Murphy, 2017. "The role of data privacy in marketing," Journal of the Academy of Marketing Science, Springer, vol. 45(2), pages 135-155, March.
    13. Ni Huang & Probal Mojumder & Tianshu Sun & Jinchi Lv & Joseph M. Golden, 2021. "Not Registered? Please Sign Up First: A Randomized Field Experiment on the Ex Ante Registration Request," Information Systems Research, INFORMS, vol. 32(3), pages 914-931, September.
    14. K. Sudhir & Seung Yoon Lee & Subroto Roy, 2021. "Lookalike Targeting on Others' Journeys: Brand Versus Performance Marketing," Cowles Foundation Discussion Papers 2302, Cowles Foundation for Research in Economics, Yale University.
    15. 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.
    16. Pizzi, Gabriele & Scarpi, Daniele & Pantano, Eleonora, 2021. "Artificial intelligence and the new forms of interaction: Who has the control when interacting with a chatbot?," Journal of Business Research, Elsevier, vol. 129(C), pages 878-890.
    17. Martin, Kirsten, 2018. "The penalty for privacy violations: How privacy violations impact trust online," Journal of Business Research, Elsevier, vol. 82(C), pages 103-116.
    18. Stefan F. Bernritter & Paul E. Ketelaar & Francesca Sotgiu, 2021. "Behaviorally targeted location-based mobile marketing," Journal of the Academy of Marketing Science, Springer, vol. 49(4), pages 677-702, July.
    19. Schreiner, Timo & Rese, Alexandra & Baier, Daniel, 2019. "Multichannel personalization: Identifying consumer preferences for product recommendations in advertisements across different media channels," Journal of Retailing and Consumer Services, Elsevier, vol. 48(C), pages 87-99.
    20. Fast, Victoria & Sachs, Nikolai & Schnurr, Daniel, 2021. "Privacy Decision-Making in Digital Markets: Eliciting Individuals' Preferences for Transparency," 23rd ITS Biennial Conference, Online Conference / Gothenburg 2021. Digital societies and industrial transformations: Policies, markets, and technologies in a post-Covid world 238020, International Telecommunications Society (ITS).

    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:jouret:v:91:y:2015:i:3:p:390-409. 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-retailing .

    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.