IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v116y2020icp245-257.html
   My bibliography  Save this article

Customized advertising: Allowing consumers to directly tailor messages leads to better outcomes for the brand

Author

Listed:
  • Douglas Olsen, G.
  • Pracejus, John W.

Abstract

A number of different methods have been used to enhance the level of message relevance to the viewer based on past behavior (e.g., retargeting), and/or specific information about the shopper (e.g., microtargeting). Sometimes consumers see ads created by other consumers. In all of these cases the ads are something that happens “to” the viewer. While the extent to which data is overtly or covertly collected may influence consumer preferences for the content shown, they are still recipients of what an algorithm decides would be best for them to see. This paper is the first to experimentally examine customized advertising, where individuals customize specific message elements, in some cases in perceived collaboration with others, varying the level of ad customization. We take our classification of “customization” from Arora et al. (2008) who define it as the degree to which a modification in a marketing mix element is proactively generated by the customer as opposed to the firm. With customized advertising, the ad is something that happens “with” the viewer. We find that as customization increases, so too does: strength of the perceived customer relationship with the company; sense of task engagement; perceptions of company trust/integrity; and, attitude toward the ad. Experiment 1 demonstrates that when overlap is high, customized advertising is superior to a random version of the ad. Experiment 2 extends this into a social media context, where participants believed they were socially co-creating the ad with others. Those who believed they socially co-created the ad demonstrated higher values on all key dependent variables. Study 3 indicates that for the individually generated ads, the effect of level of overlap between what is desired and what is received is mediated by perceived efficacy, suggesting that the process of creation is important to the effects observed, to the extent that the process yields outcomes.

Suggested Citation

  • Douglas Olsen, G. & Pracejus, John W., 2020. "Customized advertising: Allowing consumers to directly tailor messages leads to better outcomes for the brand," Journal of Business Research, Elsevier, vol. 116(C), pages 245-257.
  • Handle: RePEc:eee:jbrese:v:116:y:2020:i:c:p:245-257
    DOI: 10.1016/j.jbusres.2020.04.054
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0148296320302812
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jbusres.2020.04.054?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. Constance Elise Porter & Naveen Donthu, 2008. "Cultivating Trust and Harvesting Value in Virtual Communities," Management Science, INFORMS, vol. 54(1), pages 113-128, January.
    2. Ashley, Christy & Noble, Stephanie M. & Donthu, Naveen & Lemon, Katherine N., 2011. "Why customers won't relate: Obstacles to relationship marketing engagement," Journal of Business Research, Elsevier, vol. 64(7), pages 749-756, July.
    3. 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.
    4. Kumar Rakesh Ranjan & Stuart Read, 2016. "Value co-creation: concept and measurement," Journal of the Academy of Marketing Science, Springer, vol. 44(3), pages 290-315, May.
    5. 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.
    6. Labrecque, Lauren I. & vor dem Esche, Jonas & Mathwick, Charla & Novak, Thomas P. & Hofacker, Charles F., 2013. "Consumer Power: Evolution in the Digital Age," Journal of Interactive Marketing, Elsevier, vol. 27(4), pages 257-269.
    7. 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.
    8. Barry L. Bayus, 2013. "Crowdsourcing New Product Ideas over Time: An Analysis of the Dell IdeaStorm Community," Management Science, INFORMS, vol. 59(1), pages 226-244, June.
    9. Ertimur, Burçak & Gilly, Mary C., 2012. "So Whaddya Think? Consumers Create Ads and Other Consumers Critique Them," Journal of Interactive Marketing, Elsevier, vol. 26(3), pages 115-130.
    10. Neeraj Arora & Xavier Dreze & Anindya Ghose & James Hess & Raghuram Iyengar & Bing Jing & Yogesh Joshi & V. Kumar & Nicholas Lurie & Scott Neslin & S. Sajeesh & Meng Su & Niladri Syam & Jacquelyn Thom, 2008. "Putting one-to-one marketing to work: Personalization, customization, and choice," Marketing Letters, Springer, vol. 19(3), pages 305-321, December.
    11. Anita Pansari & V. Kumar, 2017. "Customer engagement: the construct, antecedents, and consequences," Journal of the Academy of Marketing Science, Springer, vol. 45(3), pages 294-311, May.
    12. Tuck Siong Chung & Michel Wedel & Roland T. Rust, 2016. "Adaptive personalization using social networks," Journal of the Academy of Marketing Science, Springer, vol. 44(1), pages 66-87, January.
    13. Oguz Ali Acar, 2018. "Harnessing the creative potential of consumers: money, participation, and creativity in idea crowdsourcing," Marketing Letters, Springer, vol. 29(2), pages 177-188, June.
    14. C. Page Moreau & Kelly B. Herd, 2010. "To Each His Own? How Comparisons with Others Influence Consumers' Evaluations of Their Self-Designed Products," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 36(5), pages 806-819, February.
    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. Santiago, Joanna & Borges-Tiago, Maria Teresa & Tiago, Flávio, 2022. "Is firm-generated content a lost cause?," Journal of Business Research, Elsevier, vol. 139(C), pages 945-953.
    2. Ding, Chaoxun & Zhang, Ruidan & Wu, Xuepin, 2023. "The impact of product diversity and distribution networks on consumption expansion," Journal of Business Research, Elsevier, vol. 161(C).
    3. Benoit, Ilgım Dara & Miller, Elizabeth G., 2022. "Enhancing creativity perception through fear," Journal of Business Research, Elsevier, vol. 139(C), pages 1084-1098.
    4. Wang, Zi & Yuan, Ruizhi & Luo, Jun & Liu, Martin J. & Yannopoulou, Natalia, 2023. "Does personalized advertising have their best interests at heart? A quantitative study of narcissists’ SNS use among Generation Z consumers," Journal of Business Research, Elsevier, vol. 165(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. Martin, Kelly D. & Kim, Jisu J. & Palmatier, Robert W. & Steinhoff, Lena & Stewart, David W. & Walker, Beth A. & Wang, Yonggui & Weaven, Scott K., 2020. "Data Privacy in Retail," Journal of Retailing, Elsevier, vol. 96(4), pages 474-489.
    2. Benedict G. C. Dellaert, 2019. "The consumer production journey: marketing to consumers as co-producers in the sharing economy," Journal of the Academy of Marketing Science, Springer, vol. 47(2), pages 238-254, March.
    3. Lena Steinhoff & Denni Arli & Scott Weaven & Irina V. Kozlenkova, 2019. "Online relationship marketing," Journal of the Academy of Marketing Science, Springer, vol. 47(3), pages 369-393, May.
    4. Gil Appel & Lauren Grewal & Rhonda Hadi & Andrew T. Stephen, 2020. "The future of social media in marketing," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 79-95, January.
    5. Felipe Thomaz & Carolina Salge & Elena Karahanna & John Hulland, 2020. "Learning from the Dark Web: leveraging conversational agents in the era of hyper-privacy to enhance marketing," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 43-63, January.
    6. Weidig, Jakob & Weippert, Marco & Kuehnl, Christina, 2024. "Personalized touchpoints and customer experience: A conceptual synthesis," Journal of Business Research, Elsevier, vol. 177(C).
    7. 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.
    8. Thapa, Sajani & Guzmán, Francisco & Paswan, Audhesh, 2024. "We are just 10 feet away! How does location-based advertising affect consumer-brand engagement?," Journal of Business Research, Elsevier, vol. 172(C).
    9. 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.
    10. Tomczyk, Arkadiusz T. & Buhalis, Dimitrios & Fan, Daisy X.F. & Williams, Nigel L., 2022. "Price-personalization: Customer typology based on hospitality business," Journal of Business Research, Elsevier, vol. 147(C), pages 462-476.
    11. 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.
    12. Ritu Agarwal & Michelle Dugas & Guodong (Gordon) Gao & P. K. Kannan, 2020. "Emerging technologies and analytics for a new era of value-centered marketing in healthcare," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 9-23, January.
    13. Chen, Yanyan & Mandler, Timo & Meyer-Waarden, Lars, 2021. "Three decades of research on loyalty programs: A literature review and future research agenda," Journal of Business Research, Elsevier, vol. 124(C), pages 179-197.
    14. Ravi Mehta & Darren W. Dahl & Rui (Juliet) Zhu, 2017. "Social-Recognition versus Financial Incentives? Exploring the Effects of Creativity-Contingent External Rewards on Creative Performance," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 44(3), pages 536-553.
    15. Gao, Mengjia & Huang, Lin, 2021. "Quality of channel integration and customer loyalty in omnichannel retailing: The mediating role of customer engagement and relationship program receptiveness," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    16. Ivan Fedorenko & Pierre Berthon, 2017. "Beyond the expected benefits: unpacking value co-creation in crowdsourcing business models," AMS Review, Springer;Academy of Marketing Science, vol. 7(3), pages 183-194, December.
    17. Liao, Junyun & Chen, Jiawen & Mou, Jian, 2021. "Examining the antecedents of idea contribution in online innovation communities: A perspective of creative self-efficacy," Technology in Society, Elsevier, vol. 66(C).
    18. Oghazi, Pejvak & Schultheiss, Rakel & Chirumalla, Koteshwar & Kalmer, Nicolas Philipp & Rad, Fakhreddin F., 2020. "User self-disclosure on social network sites: A cross-cultural study on Facebook’s privacy concepts," Journal of Business Research, Elsevier, vol. 112(C), pages 531-540.
    19. Grigorios, Lamprinakos & Magrizos, Solon & Kostopoulos, Ioannis & Drossos, Dimitrios & Santos, David, 2022. "Overt and covert customer data collection in online personalized advertising: The role of user emotions," Journal of Business Research, Elsevier, vol. 141(C), pages 308-320.
    20. Pallant, Jason I. & Pallant, Jessica L. & Sands, Sean J. & Ferraro, Carla R. & Afifi, Eslam, 2022. "When and how consumers are willing to exchange data with retailers: An exploratory segmentation," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).

    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:jbrese:v:116:y:2020:i:c:p:245-257. 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: http://www.elsevier.com/locate/jbusres .

    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.