IDEAS home Printed from https://ideas.repec.org/a/prg/jnlcbr/v2017y2017i4id189p30-44.html
   My bibliography  Save this article

Consumer Attention Online: How to be Visible?

Author

Listed:
  • Viktorija Grigaliūnaitė
  • Lina Pilelienė

Abstract

The axiom "unseen - unsold" implies that marketing communication cannot be effective if it does not bypass the filter of attention, which is difficult in today's information clutter. As internet has emerged as powerful channel for marketing communication, the same axiom applies to the online marketing communication. In this research the analysis and synthesis of scientific literature as well as two eye tracking experiments are applied for the analysis of internet context-related elements influencing consumer visual attention and as a consequence having influence on consumer behavior. As a result, the guidelines for the selection of advertising message-related factors and advertisement's position in the internet news portals are provided. Moreover, recommendations for the attraction of consumer visual attention in the search engines are presented.

Suggested Citation

  • Viktorija Grigaliūnaitė & Lina Pilelienė, 2017. "Consumer Attention Online: How to be Visible?," Central European Business Review, Prague University of Economics and Business, vol. 2017(4), pages 30-44.
    • Handle: RePEc:prg:jnlcbr:v:2017:y:2017:i:4:id:189:p:30-44
    DOI: 10.18267/j.cebr.189
    as

    Download full text from publisher

    File URL: http://cebr.vse.cz/doi/10.18267/j.cebr.189.html
    Download Restriction: free of charge
    File URL: http://cebr.vse.cz/doi/10.18267/j.cebr.189.pdf
    Download Restriction: free of charge
    File URL: https://libkey.io/10.18267/j.cebr.189?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. McGuire, William J, 1976. "Some Internal Psychological Factors Influencing Consumer Choice," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 2(4), pages 302-319, March.
    2. Tackx, Koen & Rothenberger, Sandra & Verdin, Paul, 2017. "Is advertising for losers? An empirical study from a value creation and value capturing perspective," European Management Journal, Elsevier, vol. 35(3), pages 327-335.
    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. Rik Pieters & Luk Warlop & Michel Wedel, 2002. "Breaking Through the Clutter: Benefits of Advertisement Originality and Familiarity for Brand Attention and Memory," Management Science, INFORMS, vol. 48(6), pages 765-781, June.
    5. Belanche, Daniel & Flavián, Carlos & Pérez-Rueda, Alfredo, 2017. "Understanding Interactive Online Advertising: Congruence and Product Involvement in Highly and Lowly Arousing, Skippable Video Ads," Journal of Interactive Marketing, Elsevier, vol. 37(C), pages 75-88.
    6. Zubcevic, Nives & Luxton, Sandra, 2011. "A comparison of print advertisements from Australia and Croatia," Australasian marketing journal, Elsevier, vol. 19(2), pages 131-136.
    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. Palos-Sanchez, Pedro & Saura, Jose Ramon & Martin-Velicia, Felix, 2019. "A study of the effects of programmatic advertising on users' concerns about privacy overtime," Journal of Business Research, Elsevier, vol. 96(C), pages 61-72.
    2. Orquin, Jacob L. & Bagger, Martin P. & Lahm, Erik S. & Grunert, Klaus G. & Scholderer, Joachim, 2020. "The visual ecology of product packaging and its effects on consumer attention," Journal of Business Research, Elsevier, vol. 111(C), pages 187-195.
    3. Hameed, Irfan & Zainab, Bibi & Shamim, Syed Jazib, 2018. "Arousal Safety Leading to Purchase Intention; The Role of Moderating and Mediating Variables in Structural Model," MPRA Paper 91848, University Library of Munich, Germany.
    4. Rik Pieters & Michel Wedel, 2012. "Ad Gist: Ad Communication in a Single Eye Fixation," Marketing Science, INFORMS, vol. 31(1), pages 59-73, January.
    5. Vinh Truong, 2024. "Optimizing mobile in-app advertising effectiveness using app publishers-controlled factors," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(4), pages 925-943, December.
    6. Pieters, Rik & Wedel, Michel, 2020. "Heads up: Head movements during ad exposure respond to consumer goals and predict brand memory," Journal of Business Research, Elsevier, vol. 111(C), pages 281-289.
    7. Kaklauskas, A. & Zavadskas, E.K. & Banaitis, A. & Meidute-Kavaliauskiene, I. & Liberman, A. & Dzitac, S. & Ubarte, I. & Binkyte, A. & Cerkauskas, J. & Kuzminske, A. & Naumcik, A., 2018. "A neuro-advertising property video recommendation system," Technological Forecasting and Social Change, Elsevier, vol. 131(C), pages 78-93.
    8. Tibert Verhagen & Daniel Bloemers, 2018. "Exploring the cognitive and affective bases of online purchase intentions: a hierarchical test across product types," Electronic Commerce Research, Springer, vol. 18(3), pages 537-561, September.
    9. Salvatore Piccolo & Piero Tedeschi & Giovanni Ursino, 2018. "Deceptive Advertising with Rational Buyers," Management Science, INFORMS, vol. 64(3), pages 1291-1310, March.
    10. Sonny Rosenthal & Jean Yi Colette Tan & Ting Fang Poh, 2020. "Reputation Cues as Signals in the Sharing Economy," Social Sciences, MDPI, vol. 9(4), pages 1-14, April.
    11. Bigne, Enrique & Simonetti, Aline & Ruiz, Carla & Kakaria, Shobhit, 2021. "How online advertising competes with user-generated content in TripAdvisor. A neuroscientific approach," Journal of Business Research, Elsevier, vol. 123(C), pages 279-288.
    12. 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.
    13. Ali, Mazhar, 2016. "Evaluating Advertising Effectiveness of Creative Television Advertisements for High Involvement Products," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 17(4), pages 916-932.
    14. 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.
    15. Pauwels, Koen & Aksehirli, Zeynep & Lackman, Andrew, 2016. "Like the ad or the brand? Marketing stimulates different electronic word-of-mouth content to drive online and offline performance," International Journal of Research in Marketing, Elsevier, vol. 33(3), pages 639-655.
    16. Georgios Filippou & Athanasios G. Georgiadis & Ashish Kumar Jha, 2024. "Establishing the link: Does web traffic from various marketing channels influence direct traffic source purchases?," Marketing Letters, Springer, vol. 35(1), pages 59-71, March.
    17. Alicia L. Rihn & Chengyan Yue, 2016. "Visual Attention's Influence on Consumers’ Willingness‐to‐Pay for Processed Food Products," Agribusiness, John Wiley & Sons, Ltd., vol. 32(3), pages 314-328, July.
    18. Peter Stüttgen & Peter Boatwright & Robert T. Monroe, 2012. "A Satisficing Choice Model," Marketing Science, INFORMS, vol. 31(6), pages 878-899, November.
    19. Jamal, Ahmad & Peattie, Sue & Peattie, Ken, 2012. "Ethnic minority consumers' responses to sales promotions in the packaged food market," Journal of Retailing and Consumer Services, Elsevier, vol. 19(1), pages 98-108.
    20. Sun, Chunhua & Fang, Yuan & Kong, Meng & Chen, Xiayu & Liu, Yezheng, 2022. "Influence of augmented reality product display on consumers’ product attitudes: A product uncertainty reduction perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).

    More about this item

    Keywords

    visual attention; consumer behavior; online advertising; eye tracking;
    All these keywords.

    JEL classification:

    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • M37 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Advertising

    Statistics

    Access and download statistics

    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:prg:jnlcbr:v:2017:y:2017:i:4:id:189:p:30-44. 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: Stanislav Vojir (email available below). General contact details of provider: https://edirc.repec.org/data/uevsecz.html .

    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.