IDEAS home Printed from https://ideas.repec.org/a/eee/joinma/v27y2013i2p130-140.html
   My bibliography  Save this article

Using Internet Behavior to Deliver Relevant Television Commercials

Author

Listed:
  • Bellman, Steven
  • Murphy, Jamie
  • Treleaven-Hassard, Shiree
  • O'Farrell, James
  • Qiu, Lili
  • Varan, Duane

Abstract

Consumer footprints left on the Internet help advertisers show consumers relevant Web ads, which increase awareness and click-throughs. This “proof of concept” experiment illustrates how Internet behavior can identify relevant television commercials that increase ad-effectiveness by raising attention and ad exposure. Product involvement and prior brand exposure, however, complicate effective Internet-targeting. Ad relevance matters more for low-involvement products, which have a short pre-purchase search process. For the same reason, using Web browsing behavior to make inferences about current ad relevance is more accurate for low-involvement products. Prior brand exposure reduces information-value, even for relevant commercials, and therefore dampens ad relevance's effect on attention and ad exposure.

Suggested Citation

  • Bellman, Steven & Murphy, Jamie & Treleaven-Hassard, Shiree & O'Farrell, James & Qiu, Lili & Varan, Duane, 2013. "Using Internet Behavior to Deliver Relevant Television Commercials," Journal of Interactive Marketing, Elsevier, vol. 27(2), pages 130-140.
    • Handle: RePEc:eee:joinma:v:27:y:2013:i:2:p:130-140
    DOI: 10.1016/j.intmar.2012.12.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1094996812000667
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.intmar.2012.12.001?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. Avi Goldfarb & Catherine E. Tucker, 2011. "Privacy Regulation and Online Advertising," Management Science, INFORMS, vol. 57(1), pages 57-71, January.
    2. Ganesh Iyer & David Soberman & J. Miguel Villas-Boas, 2005. "The Targeting of Advertising," Marketing Science, INFORMS, vol. 24(3), pages 461-476, May.
    3. Paul Gustafson & S. Siddarth, 2007. "Describing the Dynamics of Attention to TV Commercials: A Hierarchical Bayes Analysis of the Time to Zap an Ad," Journal of Applied Statistics, Taylor & Francis Journals, vol. 34(5), pages 585-609.
    4. Pilotta, Joseph J. & Schultz, Don, 2005. "Simultaneous Media Experience and Synesthesia," Journal of Advertising Research, Cambridge University Press, vol. 45(1), pages 19-26, March.
    5. S. Siddarth & Amitava Chattopadhyay, 1998. "To Zap or Not to Zap: A Study of the Determinants of Channel Switching During Commercials," Marketing Science, INFORMS, vol. 17(2), pages 124-138.
    6. Pieters, Rik G M & Bijmolt, Tammo H A, 1997. "Consumer Memory for Television Advertising: A Field Study of Duration, Serial Position, and Competition Effects," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 23(4), pages 362-372, March.
    7. Peltier, James W. & Milne, George R. & Phelps, Joseph E., 2009. "Information Privacy Research: Framework for Integrating Multiple Publics, Information Channels, and Responses," Journal of Interactive Marketing, Elsevier, vol. 23(2), pages 191-205.
    8. Bloch, Peter H & Sherrell, Daniel L & Ridgway, Nancy M, 1986. "Consumer Search: An Extended Framework," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 13(1), pages 119-126, June.
    9. Campbell, Margaret C & Keller, Kevin Lane, 2003. "Brand Familiarity and Advertising Repetition Effects," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 30(2), pages 292-304, September.
    10. Verhoef, Peter C. & Venkatesan, Rajkumar & McAlister, Leigh & Malthouse, Edward C. & Krafft, Manfred & Ganesan, Shankar, 2010. "CRM in Data-Rich Multichannel Retailing Environments: A Review and Future Research Directions," Journal of Interactive Marketing, Elsevier, vol. 24(2), pages 121-137.
    11. Pieters, R. & Bijmolt, T.H.A., 1997. "Consumer memory for television advertising : A field study of duration, serial position and competition effects," Other publications TiSEM 1ae20014-8470-4056-8e3d-6, Tilburg University, School of Economics and Management.
    12. 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.
    13. F. Thomas Juster, 1966. "Consumer Buying Intentions and Purchase Probability: An Experiment in Survey Design," NBER Books, National Bureau of Economic Research, Inc, number just66-2, March.
    14. Thales S. Teixeira & Michel Wedel & Rik Pieters, 2010. "Moment-to-Moment Optimal Branding in TV Commercials: Preventing Avoidance by Pulsing," Marketing Science, INFORMS, vol. 29(5), pages 783-804, 09-10.
    15. Ritu Agarwal & Viswanath Venkatesh, 2002. "Assessing a Firm's Web Presence: A Heuristic Evaluation Procedure for the Measurement of Usability," Information Systems Research, INFORMS, vol. 13(2), pages 168-186, June.
    16. Esther Gal-Or & Mordechai Gal-Or, 2005. "Customized Advertising via a Common Media Distributor," Marketing Science, INFORMS, vol. 24(2), pages 241-253, July.
    17. Goldberg, Marvin E & Gorn, Gerald J, 1987. "Happy and Sad TV Programs: How They Affect Reactions to Commercials," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 14(3), pages 387-403, December.
    18. Esther Gal-Or & Mordechai Gal-Or & Jerrold H. May & William E. Spangler, 2006. "Targeted Advertising Strategies on Television," Management Science, INFORMS, vol. 52(5), pages 713-725, May.
    19. Andrew W. Perkins & Mark R. Forehand, 2012. "Implicit Self-Referencing: The Effect of Nonvolitional Self-Association on Brand and Product Attitude," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 39(1), pages 142-156.
    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. Richins, Marsha L & Bloch, Peter H, 1986. "After the New Wears Off: The Temporal Context of Product Involvement," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 13(2), pages 280-285, September.
    22. Olney, Thomas J & Holbrook, Morris B & Batra, Rajeev, 1991. "Consumer Responses to Advertising: The Effects of Ad Content, Emotions, and Attitude toward the Ad on Viewing Time," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 17(4), pages 440-453, March.
    23. Viswanath Venkatesh & Ritu Agarwal, 2006. "Turning Visitors into Customers: A Usability-Centric Perspective on Purchase Behavior in Electronic Channels," Management Science, INFORMS, vol. 52(3), pages 367-382, March.
    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. Campo, Katia & Breugelmans, Els, 2015. "Buying Groceries in Brick and Click Stores: Category Allocation Decisions and the Moderating Effect of Online Buying Experience," Journal of Interactive Marketing, Elsevier, vol. 31(C), pages 63-78.

    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. Bellman, Steven & Beal, Virginia & Wooley, Brooke & Varan, Duane, 2020. "Viewing time as a cross-media metric: Comparing viewing time for video advertising on television and online," Journal of Business Research, Elsevier, vol. 120(C), pages 103-113.
    2. Esther Gal-Or & Ronen Gal-Or & Nabita Penmetsa, 2018. "The Role of User Privacy Concerns in Shaping Competition Among Platforms," Information Systems Research, INFORMS, vol. 29(3), pages 698-722, September.
    3. Beth L. Fossen & Girish Mallapragada & Anwesha De, 2021. "Impact of Political Television Advertisements on Viewers’ Response to Subsequent Advertisements," Marketing Science, INFORMS, vol. 40(2), pages 305-324, March.
    4. Sahay, Arvind, 2013. "A Customer Oriented Approach To Identifying Competitive Advantage," IIMA Working Papers WP2013-05-08, Indian Institute of Management Ahmedabad, Research and Publication Department.
    5. 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.
    6. Som Sekhar Bhattacharyya & Arvind Sahay & Arunaditya Sahay, 2022. "The Quest for Competitive Advantage: The Role of Technology Depth and Breadth at the Customer Interface," Vikalpa: The Journal for Decision Makers, , vol. 47(4), pages 274-287, December.
    7. van Schie, Ron J.G. & Donkers, Bas & Dellaert, Benedict G.C., 2012. "Savings adequacy uncertainty: Driver or obstacle to increased pension contributions?," Journal of Economic Psychology, Elsevier, vol. 33(4), pages 882-896.
    8. Wang, Wei & Li, Gang & Fung, Richard Y.K. & Cheng, T.C.E., 2019. "Mobile Advertising and Traffic Conversion: The Effects of Front Traffic and Spatial Competition," Journal of Interactive Marketing, Elsevier, vol. 47(C), pages 84-101.
    9. Esteves, Rosa-Branca & Resende, Joana, 2019. "Personalized pricing and advertising: Who are the winners?," International Journal of Industrial Organization, Elsevier, vol. 63(C), pages 239-282.
    10. Yuxin Chen & Qihong Liu, 2022. "Signaling Through Advertising When an Ad Can Be Blocked," Marketing Science, INFORMS, vol. 41(1), pages 166-187, January.
    11. Sumitro Banerjee & Alex P. Thevaranjan, 2019. "Targeting and salesforce compensation: When sales spill over to unprofitable customers," Quantitative Marketing and Economics (QME), Springer, vol. 17(1), pages 81-104, March.
    12. Zhao Jiang & Wu Dan & Liu Jie, 2020. "Distinct role of targeting precision of Internet-based targeted advertising in duopolistic e-business firms’ heterogeneous consumers market," Electronic Commerce Research, Springer, vol. 20(2), pages 453-474, June.
    13. Beth L. Fossen & Alexander Bleier, 2021. "Online program engagement and audience size during television ads," Journal of the Academy of Marketing Science, Springer, vol. 49(4), pages 743-761, July.
    14. Anthony Dukes & Qihong Liu & Jie Shuai, 2022. "Skippable Ads: Interactive Advertising on Digital Media Platforms," Marketing Science, INFORMS, vol. 41(3), pages 528-547, May.
    15. Lusi Li & Jianqing Chen & Srinivasan Raghunathan, 2018. "Recommender System Rethink: Implications for an Electronic Marketplace with Competing Manufacturers," Information Systems Research, INFORMS, vol. 29(4), pages 1003-1023, December.
    16. Poncin, Ingrid & Pieters, Rik & Ambaye, Michele, 2006. "Cross-advertisement affectivity: The influence of similarity between commercials and processing modes of consumers on advertising processing," Journal of Business Research, Elsevier, vol. 59(6), pages 745-754, June.
    17. Li, Sanxi & Sun, Hailin & Yu, Jun, 2023. "Competitive targeted online advertising," International Journal of Industrial Organization, Elsevier, vol. 87(C).
    18. Thales S. Teixeira & Michel Wedel & Rik Pieters, 2010. "Moment-to-Moment Optimal Branding in TV Commercials: Preventing Avoidance by Pulsing," Marketing Science, INFORMS, vol. 29(5), pages 783-804, 09-10.
    19. Liu, J., 2008. "Brand and automaticity," Other publications TiSEM dcbcb1b7-2089-429d-bdc1-8, Tilburg University, School of Economics and Management.
    20. Kenneth C. Wilbur, 2008. "A Two-Sided, Empirical Model of Television Advertising and Viewing Markets," Marketing Science, INFORMS, vol. 27(3), pages 356-378, 05-06.

    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:27:y:2013:i:2:p:130-140. 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.