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İnternet Reklamına Yönelik Fiziksel Tepkilerin Ölçülmesi: Banner Reklamlar Üzerine Araştırma

Year 2024, Issue: 54, 392 - 412, 30.08.2024
https://doi.org/10.52642/susbed.1475405

Abstract

İnternetin bir reklam platformu olarak popülerlik kazanmasına ve çevrimiçi reklamcılığa giderek artan ilgiye rağmen, internet reklamlarının tıklanma ve dönüşüm oranları hala istenilen seviyede değildir. Bu konuda, tüketicilerin internet reklamlarını bilinçli olarak görmezden geldikleri veya web sitelerinde bu tür reklamları fiziksel olarak fark edemedikleri üzerinde durulmaktadır. Dolayısıyla burada bahsedilen durum, bilimsel olarak araştırmayı gerektiren bir konuyu ortaya çıkarmaktadır. Ayrıca, internet reklamcılığının her geçen gün gelişen bir araştırma alanı olması göz önüne alındığında, akademik literatürü zenginleştirmek adına da güncel çalışmalar yapılması gerekmektedir. Bu bağlamda çalışmayla, bir internet reklam türü olan banner reklamlara yönelik görsel davranış biçimini incelemek amaçlanmıştır. Bu doğrultuda 32 gönüllü katılımcı ile göz izleme cihazı (eye-tracking) kullanılarak deney yapılmış ve katılımcıların banner reklamlara yönelik fiziksel tepkileri ölçülmüştür. Böylelikle banner reklamlar özelinde katılımcıların görsel davranış biçimleri analiz edilmiştir. Fiziksel tepkilerle ilgili verilerin analizi, banner reklamların web sayfalarında dikkat çektiğini ancak katılımcıların ağırlıklı olarak düşük veya orta düzeyde odaklanma gerçekleştirdikleri ortaya çıkarılmıştır. Bir diğer ifadeyle, bannerların bahsedilen düzeylerde dikkat çektiği anlaşılmıştır. Detaylı bulgular, gerekli analiz ve yorumların ardından çalışmanın ilgili bölümlerinde hem akademiye hem de sektöre katkıda bulunmak için okuyucularla paylaşılmıştır.

References

  • Anusha, G. (2016). Effectiveness of online advertising. International Journal of Research–Granthaalayah, 4(3), 14-21 https://doi.org/10.29121/granthaalayah.v4.i3SE.2016.2772.
  • Benway, J. P. (1998). Banner Blindness: The Irony of Attention Grabbing on the World Wide Web. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 42(5), 463-467. https://doi.org/https://doi.org/10.1177/154193129804200504
  • Benway, J. P. (1999). Banner blindness: What searching users notice and do not notice on the World Wide Web. Rice University. Texas, ABD: Rice University Electronic Theses and Dissertations.
  • Bozoklu, Ç. P., & Alkibay, S. (2018). Nöropazarlama Reklam Tasarımı ve Etik. Siyasal Kitabevi.
  • Deloitte. (2023, Nisan 1). Türkiye'de Tahmini Medya ve Reklam Yatırımları 2022 Raporu. https://www2.deloitte.com/content/dam/Deloitte/tr/Documents/technology-media-telecommunications/medya-ve-reklam-yatirimlari-2022-raporu.pdf adresinden alındı
  • Ene, I. (2018). Study of Consumer’s Unconscious Reaction towards the Use of Anthropomorphic Appearance of AI: An Eye-Tracking Experiment. Studia Universitatis „Vasile Goldis” Arad – Economics Series, 28(4), 55-67. https://doi.org/https://doi.org/10.2478/sues-2018-0020
  • Goldberg, J. H., & Helfman, J. I. (2010). Comparing information graphics: a critical look at eye tracking. Workshop on Beyond Time and Errors: Novel Evaluation Methods for Visualization. ABD: Association for Computing Machinery, New York. https://doi.org/https://doi.org/10.1145/2110192.2110203
  • Interactive Advertising Bureau Ireland. (2020, Ekim 1). Display Ad Standards. Iabireland: https://iabireland.ie/councils/display-ad-standards/ adresinden alındı
  • Irvine, M. (2024, Şubat 26). Google Ads Benchmarks for Your Industry. Wordstream: https://www.wordstream.com/blog/ws/2016/02/29/google-adwords-industry-benchmarks adresinden alındı
  • Janoschka, A. (2004). Web Advertising: New forms of communication on the Internet. Zurich: John Benjamins Publishing Company.
  • Kosinski, R. J. (2013, Eylül 1). A Literature Review on Reaction Time. Co-Mind Lab: http://www.cognaction.org/cogs105/readings/clemson.rt.pdf adresinden alındı
  • Kurzhals, K., Fisher, B., Burch, M., & Weiskopf, D. (2014). Evaluating visual analytics with eye tracking. Proceedings of the Fifth Workshop on Beyond Time and Errors: Novel Evaluation Methods for Visualization, 14, 61-69. https://doi.org/https://doi.org/10.1145/2669557.2669560
  • Lamba, H., & Shah, N. (2019). Modeling Dwell Time Engagement on Visual Multimedia. International Conference on Knowledge Discovery & Data Mining. ABD: Special Interest Group on Knowledge Discovery and Data Mining. https://doi.org/https://doi.org/10.1145/3292500.3330973
  • Li, H., & Leckenby, J. D. (2007). Internet Advertising Formats and Effectiveness. D. W. Schumann, & E. Thorson içinde, Internet advertising theory and research (s. 1-31). Texas: Lawrence Erlbaum Associates Publishers.
  • Liu, L., Liu, W., Li, X., Wang, W., & Cheng, W. (2020). Eye-tracking Based Performance Analysis in Error Finding Programming Test. 15th International Conference on Computer Science & Education (ICCSE). Hollanda: IEEE. https://doi.org/https://doi.org/10.1109/ICCSE49874.2020.9201882
  • Maison, D. (2019). Qualitative Marketing Research Understanding Consumer Behaviour. Routledge.
  • McCormick, K. (2023, Aralık 15). NEW Advertising Benchmarks for Home Services in 2021. Wordstream: https://www.wordstream.com/blog/ws/2021/09/22/advertising-benchmarks-home-services-2021 adresinden alındı
  • Miller, R. K., & Washington, K. D. (2017). Consumer Marketing 2017-2018. Market Research Handbooks (RKMA).
  • Nia, R. N., Pirzad, A., & Mousavi, S. N.-A.-D. (2020). Designing and Explaining the Impact Pattern of Online Advertising on Actual Purchasing (Case Study: Atieh Saba Holding) . Journal of System Management, 1, 113-130 https://doi.org/10.30495/jsm.2020.673653.
  • Obadă, D.-R. (2021). Pretesting Flow Questionnaire Design Using Eye-Tracking: An Exploratory Study. Journal of the Seminar of Discursive Logic, Argumentation Theory and Rhetoric , 19(1), 102-116.
  • Pęczkowski, P., & Błasiak, W. (2017). Using Eye-Tracking Technology for the Analysis of Students' Subjective Views on Usefulness of Chosen Physics Formulas. Edukacja-Technika-Informatyka, 8(4), 192-200. https://doi.org/http://dx.doi.org/10.15584/eti.2017.4.25
  • Rosenkrans, G. (2009). The Creativeness and Effectiveness of Online Interactive Rich Media Advertising. Journal of Interactive Advertising, 9(2), 18-31 https://doi.org/10.1080/15252019.2009.10722152.
  • Rzemieniak, M. (2015). Measuring the Effectiveness of Online Advertising Campaigns inthe Aspect of e-entrepreneurship. Procedia Computer Science 65, 980-987 https://doi.org/10.1016/j.procs.2015.09.063.
  • Sands, S. F. (2021, Kasım 4). Sample size analysis for brainwave collection (EEG) methodologies. Sands Research: http://www.sandsresearch.com/assets/white-paper.pdf adresinden alındı
  • Scott, N., Zhang, R., Le, D., & Moyle, B. (2019). A review of eye-tracking research in tourism. Current Issues in Tourism, 22(10), 1244-1261 https://doi.org/10.1080/13683500.2017.1367367.
  • Tavor, T. (2011). Online Advertising Development and Their Economic Effectiveness. Australian Journal of Business and Management Research 1(6), 121-133 https://doi.org/10.52283/nswrca.ajbmr.20110106a13.
  • Ungureanu, F., Lupu, R., Cadar, A., & Prodan, A. (2017). Neuromarketing and visual attention study using eye tracking techniques. 21st International Conference on System Theory, Control and Computing (ICSTCC). Romanya: IEEE. https://doi.org/https://doi.org/10.1109/ICSTCC.2017.8107093
  • Volovich, K. (2020, Haziran 7). What’s a Good Clickthrough Rate? New Benchmark Data for Google AdWords. Hubspot: https://blog.hubspot.com/agency/google-adwords-benchmark-data adresinden alındı
  • Wang, Y., & Sparks, B. A. (2016). An Eye-Tracking Study of Tourism Photo Stimuli: Image Characteristics and Ethnicity. Journal of Travel Research, 55(5), 588-602. https://doi.org/https://doi.org/10.1177/0047287514564598
  • Yang, X., & Krajbich, I. (2021). Webcam-based online eye-tracking for behavioral research. Judgment and Decision Making, 16(6), 1485-1505. https://doi.org/https://doi.org/10.1017/S1930297500008512
  • Zhang, B., & Seo, H.-S. (2015). Visual attention toward food-item images can vary as a function of background saliency and culture: An eye-tracking study. Food Quality and Preference, 41, 172-179. https://doi.org/https://doi.org/10.1016/j.foodqual.2014.12.004

Measuring Physical Reactions Towards Internet Advertising: Research on Banner Advertisements

Year 2024, Issue: 54, 392 - 412, 30.08.2024
https://doi.org/10.52642/susbed.1475405

Abstract

Despite the increasing popularity of the internet as an advertising platform and the growing interest in online advertising, click-through and conversion rates for internet advertisements are still not at the desired levels. This issue highlights that consumers either consciously ignore internet advertisements or do not physically notice them on websites. Therefore, this situation necessitates scientific investigation. Furthermore, given that internet advertising is a continually evolving research area, there is a need for current studies to enrich the academic literature. In this context, the study aims to examine visual behavior towards banner ads, a type of internet advertisement. To this end, an experiment was conducted with 32 volunteer participants using an eye-tracking device to measure their physical responses to banner ads. Thus, the visual behavior patterns of participants specifically regarding banner ads were analyzed. The analysis of physical response data revealed that banner ads attract attention on web pages, but participants predominantly exhibited low to moderate levels of focus. In other words, it was found that banners attract attention at these mentioned levels. Detailed findings, along with the necessary analyses and interpretations, are shared with readers in the relevant sections of the study to contribute to both academia and the industry.

References

  • Anusha, G. (2016). Effectiveness of online advertising. International Journal of Research–Granthaalayah, 4(3), 14-21 https://doi.org/10.29121/granthaalayah.v4.i3SE.2016.2772.
  • Benway, J. P. (1998). Banner Blindness: The Irony of Attention Grabbing on the World Wide Web. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 42(5), 463-467. https://doi.org/https://doi.org/10.1177/154193129804200504
  • Benway, J. P. (1999). Banner blindness: What searching users notice and do not notice on the World Wide Web. Rice University. Texas, ABD: Rice University Electronic Theses and Dissertations.
  • Bozoklu, Ç. P., & Alkibay, S. (2018). Nöropazarlama Reklam Tasarımı ve Etik. Siyasal Kitabevi.
  • Deloitte. (2023, Nisan 1). Türkiye'de Tahmini Medya ve Reklam Yatırımları 2022 Raporu. https://www2.deloitte.com/content/dam/Deloitte/tr/Documents/technology-media-telecommunications/medya-ve-reklam-yatirimlari-2022-raporu.pdf adresinden alındı
  • Ene, I. (2018). Study of Consumer’s Unconscious Reaction towards the Use of Anthropomorphic Appearance of AI: An Eye-Tracking Experiment. Studia Universitatis „Vasile Goldis” Arad – Economics Series, 28(4), 55-67. https://doi.org/https://doi.org/10.2478/sues-2018-0020
  • Goldberg, J. H., & Helfman, J. I. (2010). Comparing information graphics: a critical look at eye tracking. Workshop on Beyond Time and Errors: Novel Evaluation Methods for Visualization. ABD: Association for Computing Machinery, New York. https://doi.org/https://doi.org/10.1145/2110192.2110203
  • Interactive Advertising Bureau Ireland. (2020, Ekim 1). Display Ad Standards. Iabireland: https://iabireland.ie/councils/display-ad-standards/ adresinden alındı
  • Irvine, M. (2024, Şubat 26). Google Ads Benchmarks for Your Industry. Wordstream: https://www.wordstream.com/blog/ws/2016/02/29/google-adwords-industry-benchmarks adresinden alındı
  • Janoschka, A. (2004). Web Advertising: New forms of communication on the Internet. Zurich: John Benjamins Publishing Company.
  • Kosinski, R. J. (2013, Eylül 1). A Literature Review on Reaction Time. Co-Mind Lab: http://www.cognaction.org/cogs105/readings/clemson.rt.pdf adresinden alındı
  • Kurzhals, K., Fisher, B., Burch, M., & Weiskopf, D. (2014). Evaluating visual analytics with eye tracking. Proceedings of the Fifth Workshop on Beyond Time and Errors: Novel Evaluation Methods for Visualization, 14, 61-69. https://doi.org/https://doi.org/10.1145/2669557.2669560
  • Lamba, H., & Shah, N. (2019). Modeling Dwell Time Engagement on Visual Multimedia. International Conference on Knowledge Discovery & Data Mining. ABD: Special Interest Group on Knowledge Discovery and Data Mining. https://doi.org/https://doi.org/10.1145/3292500.3330973
  • Li, H., & Leckenby, J. D. (2007). Internet Advertising Formats and Effectiveness. D. W. Schumann, & E. Thorson içinde, Internet advertising theory and research (s. 1-31). Texas: Lawrence Erlbaum Associates Publishers.
  • Liu, L., Liu, W., Li, X., Wang, W., & Cheng, W. (2020). Eye-tracking Based Performance Analysis in Error Finding Programming Test. 15th International Conference on Computer Science & Education (ICCSE). Hollanda: IEEE. https://doi.org/https://doi.org/10.1109/ICCSE49874.2020.9201882
  • Maison, D. (2019). Qualitative Marketing Research Understanding Consumer Behaviour. Routledge.
  • McCormick, K. (2023, Aralık 15). NEW Advertising Benchmarks for Home Services in 2021. Wordstream: https://www.wordstream.com/blog/ws/2021/09/22/advertising-benchmarks-home-services-2021 adresinden alındı
  • Miller, R. K., & Washington, K. D. (2017). Consumer Marketing 2017-2018. Market Research Handbooks (RKMA).
  • Nia, R. N., Pirzad, A., & Mousavi, S. N.-A.-D. (2020). Designing and Explaining the Impact Pattern of Online Advertising on Actual Purchasing (Case Study: Atieh Saba Holding) . Journal of System Management, 1, 113-130 https://doi.org/10.30495/jsm.2020.673653.
  • Obadă, D.-R. (2021). Pretesting Flow Questionnaire Design Using Eye-Tracking: An Exploratory Study. Journal of the Seminar of Discursive Logic, Argumentation Theory and Rhetoric , 19(1), 102-116.
  • Pęczkowski, P., & Błasiak, W. (2017). Using Eye-Tracking Technology for the Analysis of Students' Subjective Views on Usefulness of Chosen Physics Formulas. Edukacja-Technika-Informatyka, 8(4), 192-200. https://doi.org/http://dx.doi.org/10.15584/eti.2017.4.25
  • Rosenkrans, G. (2009). The Creativeness and Effectiveness of Online Interactive Rich Media Advertising. Journal of Interactive Advertising, 9(2), 18-31 https://doi.org/10.1080/15252019.2009.10722152.
  • Rzemieniak, M. (2015). Measuring the Effectiveness of Online Advertising Campaigns inthe Aspect of e-entrepreneurship. Procedia Computer Science 65, 980-987 https://doi.org/10.1016/j.procs.2015.09.063.
  • Sands, S. F. (2021, Kasım 4). Sample size analysis for brainwave collection (EEG) methodologies. Sands Research: http://www.sandsresearch.com/assets/white-paper.pdf adresinden alındı
  • Scott, N., Zhang, R., Le, D., & Moyle, B. (2019). A review of eye-tracking research in tourism. Current Issues in Tourism, 22(10), 1244-1261 https://doi.org/10.1080/13683500.2017.1367367.
  • Tavor, T. (2011). Online Advertising Development and Their Economic Effectiveness. Australian Journal of Business and Management Research 1(6), 121-133 https://doi.org/10.52283/nswrca.ajbmr.20110106a13.
  • Ungureanu, F., Lupu, R., Cadar, A., & Prodan, A. (2017). Neuromarketing and visual attention study using eye tracking techniques. 21st International Conference on System Theory, Control and Computing (ICSTCC). Romanya: IEEE. https://doi.org/https://doi.org/10.1109/ICSTCC.2017.8107093
  • Volovich, K. (2020, Haziran 7). What’s a Good Clickthrough Rate? New Benchmark Data for Google AdWords. Hubspot: https://blog.hubspot.com/agency/google-adwords-benchmark-data adresinden alındı
  • Wang, Y., & Sparks, B. A. (2016). An Eye-Tracking Study of Tourism Photo Stimuli: Image Characteristics and Ethnicity. Journal of Travel Research, 55(5), 588-602. https://doi.org/https://doi.org/10.1177/0047287514564598
  • Yang, X., & Krajbich, I. (2021). Webcam-based online eye-tracking for behavioral research. Judgment and Decision Making, 16(6), 1485-1505. https://doi.org/https://doi.org/10.1017/S1930297500008512
  • Zhang, B., & Seo, H.-S. (2015). Visual attention toward food-item images can vary as a function of background saliency and culture: An eye-tracking study. Food Quality and Preference, 41, 172-179. https://doi.org/https://doi.org/10.1016/j.foodqual.2014.12.004
There are 31 citations in total.

Details

Primary Language Turkish
Subjects Digital Advertising
Journal Section Research Articles
Authors

Bahadır Burak Solak 0000-0001-6670-8931

Özen Okat 0000-0002-9503-3993

Publication Date August 30, 2024
Submission Date April 29, 2024
Acceptance Date July 29, 2024
Published in Issue Year 2024 Issue: 54

Cite

APA Solak, B. B., & Okat, Ö. (2024). İnternet Reklamına Yönelik Fiziksel Tepkilerin Ölçülmesi: Banner Reklamlar Üzerine Araştırma. Selçuk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi(54), 392-412. https://doi.org/10.52642/susbed.1475405

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