IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v65y2012i6p831-839.html
   My bibliography  Save this article

Interactive TV advertising: iTV ad executional factors

Author

Listed:
  • Bellman, Steven
  • Schweda, Anika
  • Varan, Duane

Abstract

This study examines over 500 campaigns from the first six years of interactive TV (iTV) advertising in the United Kingdom, the market with one of the world's highest interactive digital TV penetration rates (90% of households). The study examines the effect on the interactive response rate of 96 executional factors in iTV ads. The results identify the top-10 executional factors that cause the largest increases or decreases in the response rate, as well as 11 other factors that help or hurt the response rate in specific product categories. Appendix A describes these 21 factors in detail and lists the other 75 iTV ad executional factors that have no effect on response rate.

Suggested Citation

  • Bellman, Steven & Schweda, Anika & Varan, Duane, 2012. "Interactive TV advertising: iTV ad executional factors," Journal of Business Research, Elsevier, vol. 65(6), pages 831-839.
    • Handle: RePEc:eee:jbrese:v:65:y:2012:i:6:p:831-839
    DOI: 10.1016/j.jbusres.2011.01.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S014829631100004X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jbusres.2011.01.003?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. Jean-Louis Chandon & Mohamed Saber Chtourou & David Fortin, 2003. "Effects of Configuration and Exposure Levels on Responses to Web Advertisements," Post-Print hal-01796048, HAL.
    2. Jaeki Song & Fatemeh Mariam Zahedi, 2005. "A Theoretical Approach to Web Design in E-Commerce: A Belief Reinforcement Model," Management Science, INFORMS, vol. 51(8), pages 1219-1235, August.
    3. Lohtia, Ritu & Donthu, Naveen & Hershberger, Edmund K., 2003. "The Impact of Content and Design Elements on Banner Advertising Click-through Rates," Journal of Advertising Research, Cambridge University Press, vol. 43(4), pages 410-418, December.
    4. Chandon, Jean Louis & Chtourou, Mohamed Saber & Fortin, David R., 2003. "Effects of Configuration and Exposure Levels on Responses to Web Advertisements," Journal of Advertising Research, Cambridge University Press, vol. 43(2), pages 217-229, June.
    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. Schwenzow, Jasper & Hartmann, Jochen & Schikowsky, Amos & Heitmann, Mark, 2021. "Understanding videos at scale: How to extract insights for business research," Journal of Business Research, Elsevier, vol. 123(C), pages 367-379.

    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. Kim, Juran & Kang, Seungmook & Lee, Ki Hoon, 2021. "Evolution of digital marketing communication: Bibliometric analysis and network visualization from key articles," Journal of Business Research, Elsevier, vol. 130(C), pages 552-563.
    2. Lohtia, Ritu & Donthu, Naveen & Yaveroglu, Idil, 2007. "Evaluating the efficiency of Internet banner advertisements," Journal of Business Research, Elsevier, vol. 60(4), pages 365-370, April.
    3. Acquisti, Alessandro & Spiekermann, Sarah, 2011. "Do Interruptions Pay off? Effects of Interruptive Ads on Consumers' Willingness to Pay," Journal of Interactive Marketing, Elsevier, vol. 25(4), pages 226-240.
    4. 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.
    5. Berger, A. & Grigoriev, A. & van Loon, J., 2008. "Price strategy implementation," Research Memorandum 035, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    6. Yasir Rashid, Muhammad Zeeshan, 2018. "Customer Attitude towards Online Ads of Smartphone Brands: A Netnographic Analysis of User Generated Comments on YouTube," Journal of Management Sciences, Geist Science, Iqra University, Faculty of Business Administration, vol. 5(2), pages 40-64, October.
    7. Yi Zhu & Kenneth C. Wilbur, 2011. "Hybrid Advertising Auctions," Marketing Science, INFORMS, vol. 30(2), pages 249-273, 03-04.
    8. Serhat Peker & Gonca Gokce Menekse Dalveren & Yavuz İnal, 2021. "The Effects of the Content Elements of Online Banner Ads on Visual Attention: Evidence from An-Eye-Tracking Study," Future Internet, MDPI, vol. 13(1), pages 1-18, January.
    9. Osinga, Ernst C. & Zevenbergen, Menno & van Zuijlen, Mark W.G., 2019. "Do mobile banner ads increase sales? Yes, in the offline channel," International Journal of Research in Marketing, Elsevier, vol. 36(3), pages 439-453.
    10. Un-Kon Lee, 2021. "The Effect of Confirmation of Nation Brand Image in International Tourism Advertisement on Travel Intention of Foreign Tourists: The Case of Korean ITA for Chinese Tourists," SAGE Open, , vol. 11(1), pages 21582440209, January.
    11. Nitin Walia & Mark Srite & Wendy Huddleston, 2016. "Eyeing the web interface: the influence of price, product, and personal involvement," Electronic Commerce Research, Springer, vol. 16(3), pages 297-333, September.
    12. Diandian Xiang & Leinan Zhang & Qiuyan Tao & Yonggui Wang & Shuang Ma, 2019. "Informational or emotional appeals in crowdfunding message strategy: an empirical investigation of backers’ support decisions," Journal of the Academy of Marketing Science, Springer, vol. 47(6), pages 1046-1063, November.
    13. Uddin, Main & Wang, Liang Choon & Smyth, Russell, 2021. "Do government-initiated energy comparison sites encourage consumer search and lower prices? Evidence from an online randomized controlled experiment in Australia," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 167-182.
    14. Dongxiao Gu & Xuejie Yang & Xingguo Li & Hemant K. Jain & Changyong Liang, 2018. "Understanding the Role of Mobile Internet-Based Health Services on Patient Satisfaction and Word-of-Mouth," IJERPH, MDPI, vol. 15(9), pages 1-23, September.
    15. Eran Rubin & Amir Rubin, 2021. "On the economic effects of the text completion interface: empirical analysis of financial markets," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(3), pages 717-735, September.
    16. Christophe Bezes & Bertrand Belvaux, 2012. "Which elements of differentiation for commercial websites? A transmitted image approach [Quels éléments de différenciation pour les sites web marchands ? Une approche par l'image transmise]," Post-Print hal-02086743, HAL.
    17. Zhang, Jing & Lee, Eun-Ju, 2022. "“Two Rivers” brain map for social media marketing: Reward and information value drivers of SNS consumer engagement," Journal of Business Research, Elsevier, vol. 149(C), pages 494-505.
    18. Michael North & Michael Ficorilli, 2017. "Click me: an examination of the impact size, color, and design has on banner advertisements generating clicks," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 22(3), pages 99-108, September.
    19. Mariea Hoy & May Lwin, 2008. "An International Perspective of Online Disclosure Presentation: A Comparison of Banner Ad Disclosures from United States, United Kingdom, and Singapore Web Sites," Journal of Consumer Policy, Springer, vol. 31(3), pages 327-347, September.
    20. Shahbaznezhad, Hamidreza & Dolan, Rebecca & Rashidirad, Mona, 2021. "The Role of Social Media Content Format and Platform in Users' Engagement Behavior," Journal of Interactive Marketing, Elsevier, vol. 53(C), pages 47-65.

    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:65:y:2012:i:6:p:831-839. 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.