Research Article
BibTex RIS Cite

TV Reklamlarının Dijital Trafik Üzerindeki Kısa Vadeli Etkisi

Year 2025, Volume: 12 Issue: 1, 53 - 66, 30.01.2025

Abstract

Bu makale, farklı sektörden şirketlerin verdiği televizyon (TV) reklamlarının dijital platformlar üzerindeki kısa vadeli etkilerini incelemektedir. Reklamın zamanlaması, program türü ve sektörü gibi faktörlerin dijital trafik üzerindeki etkisi t-testi, ANOVA ve Tukey HSD testi gibi istatistiksel analiz yöntemleriyle değerlendirilmiştir. Bulgular, prime time (öne çıkan saat dilimi) reklamlarının web trafiği üzerinde önemli bir etkiye sahip olduğunu ancak bu etkinin sektörlere ve program türlerine göre değişiklik gösterdiğini ortaya koymuştur. Çalışma, stratejik medya planlamasının önemine dikkat çekerken, saat dilimi, program türü ve şirkete özgü faktörler arasındaki önemli etkileşimleri de gözler önüne sermektedir. Sonuçlar, reklam etkinliğinin sektörlere göre farklılık gösterdiğini ve sektöre özel stratejilerin gerekliliğini vurgulamaktadır. Ayrıca, geleneksel TV reklamcılığının dijital medya stratejileriyle entegrasyonunun önemi vurgulanarak, çapraz platform etkileşiminin en üst düzeye çıkarılması önerilmektedir. Önerilen istatistiksel model sonuçları, reklamcılar ve medya planlayıcıları için reklam kampanyalarının etkisini optimize etme konusunda değerli içgörüler sunmaktadır.

References

  • Arslan, A., Tecimer, K., Turgut, H., Bali, Ö., Yücel, A., Alptekin, G. I., & Orman, G. K. (2024). A Comprehensive Framework for Measuring the Immediate Impact of TV Advertisements: TV-Impact. Entropy, 26(2), 109. https://doi.org/10.3390/e26020109
  • Becker, M., Wiegand, N., & Reinartz, W. J. (2019). Does It Pay to Be Real? Understanding Authenticity in TV Advertising. Journal of Marketing, 83(1), 24–50. https://doi.org/10.1177/0022242918815880
  • Chandrasekaran, D., Srinivasan, R., & Sihi, D. (2018). Effects of offline ad content on online brand search: insights from super bowl advertising. Journal of the Academy of Marketing Science, 46(3), 403–430. https://doi.org/10.1007/s11747-017-0551-8
  • Ebrahimian Jolodar, S. Y., & Ansari, M. E. (2011). An Investigation of TV Advertisement Effects on Customers’ Purchasing and their Satisfaction. International Journal of Marketing Studies, 3(4). https://doi.org/10.5539/ijms.v3n4p175
  • Ewens, W. J., & Brumberg, K. (2023). Tests on Means. In Introductory Statistics for Data Analysis (pp. 173–203). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-28189-1_13
  • Hill, S., Colas, A., Schwartz, H. A., & Burtch, G. (2019). TV Ad Events and Digital Search: On the Selection of Outcome Measures. 2019 IEEE International Conference on Big Data (Big Data), 3518–3528. https://doi.org/10.1109/BigData47090.2019.9006405
  • Hinz, O., Hill, S., & Sharma, A. (2022). Second Screening—The Influence of Concurrent TV Consumption on Online Shopping Behavior. Information Systems Research, 33(3), 809–823. https://doi.org/10.1287/isre.2021.1099
  • Joo, M., Wilbur, K. C., Cowgill, B., & Zhu, Y. (2014). Television Advertising and Online Search. Management Science, 60(1), 56–73. https://doi.org/10.1287/mnsc.2013.1741
  • Kestenbaum, B. (2019). Hypothesis Tests in Practice. In Epidemiology and Biostatistics (pp. 207–216). Springer International Publishing. https://doi.org/10.1007/978-3-319-96644-1_15
  • Kim, T. K. (2015). T test as a parametric statistic. Korean Journal of Anesthesiology, 68(6), 540. https://doi.org/10.4097/kjae.2015.68.6.540
  • Kim, T. K., & Park, J. H. (2019). More about the basic assumptions of t-test: normality and sample size. Korean Journal of Anesthesiology, 72(4), 331–335. https://doi.org/10.4097/kja.d.18.00292
  • Kitts, B., Bardaro, M., Au, D., Lee, A., Lee, S., Borchardt, J., Schwartz, C., Sobieski, J., & Wadsworth-Drake, J. (2014). Can Television Advertising Impact Be Measured on the Web? Web Spike Response as a Possible Conversion Tracking System for Television. Proceedings of the Eighth International Workshop on Data Mining for Online Advertising, 1–9. https://doi.org/10.1145/2648584.2648591
  • Lewis, R. A., & Rao, J. M. (2015). The Unfavorable Economics of Measuring the Returns to Advertising *. The Quarterly Journal of Economics, 130(4), 1941–1973. https://doi.org/10.1093/qje/qjv023
  • Liaukonyte, J., Teixeira, T., & Wilbur, K. C. (2015). Television Advertising and Online Shopping. Marketing Science, 34(3), 311–330. https://doi.org/10.1287/mksc.2014.0899
  • Lodish, L. M., Abraham, M., Kalmenson, S., Livelsberger, J., Lubetkin, B., Richardson, B., & Stevens, M. E. (1995). How T.V. Advertising Works: A Meta-Analysis of 389 Real World Split Cable T.V. Advertising Experiments. Journal of Marketing Research, 32(2), 125–139. https://doi.org/10.1177/002224379503200201
  • Martin, B. A. S., Bhimy, A. C., & Agee, T. (2002). Infomercials and advertising effectiveness: an empirical study. Journal of Consumer Marketing, 19(6), 468–480. https://doi.org/10.1108/07363760210444850
  • Siegel, A. F., & Wagner, M. R. (2022). ANOVA. In Practical Business Statistics (pp. 485–510). Elsevier. https://doi.org/10.1016/B978-0-12-820025-4.00015-4
  • Tirunillai, S., & Tellis, G. J. (2017). Does Offline TV Advertising Affect Online Chatter? Quasi-Experimental Analysis Using Synthetic Control. Marketing Science, 36(6), 862–878. https://doi.org/10.1287/mksc.2017.1040

The Short-Term Effect of TV Advertisements on Digital Traffic

Year 2025, Volume: 12 Issue: 1, 53 - 66, 30.01.2025

Abstract

This study investigates the short-term effects of television advertisements (TV ads) on digital platform engagement across companies from diverse sectors. Utilizing statistical analysis methods including t-test, ANOVA, and Tukey's HSD test, we examined the impact of factors such as ad timing, program type, and sector on web traffic. Our findings reveal that prime time advertisements significantly influence web traffic, with effects varying across different sectors and program types. The study demonstrates the importance of strategic media planning, highlighting significant interactions between prime time, program types, and company-specific factors. Results indicate that advertising effectiveness differs among industries, suggesting the need for sector-specific strategies. The findings underscore the importance of integrating traditional TV advertising with digital media strategies to maximize cross-platform engagement. These insights provide valuable guidance for advertisers and media planners in optimizing TV ad campaigns and their impact on digital platforms in an evolving media landscape.

References

  • Arslan, A., Tecimer, K., Turgut, H., Bali, Ö., Yücel, A., Alptekin, G. I., & Orman, G. K. (2024). A Comprehensive Framework for Measuring the Immediate Impact of TV Advertisements: TV-Impact. Entropy, 26(2), 109. https://doi.org/10.3390/e26020109
  • Becker, M., Wiegand, N., & Reinartz, W. J. (2019). Does It Pay to Be Real? Understanding Authenticity in TV Advertising. Journal of Marketing, 83(1), 24–50. https://doi.org/10.1177/0022242918815880
  • Chandrasekaran, D., Srinivasan, R., & Sihi, D. (2018). Effects of offline ad content on online brand search: insights from super bowl advertising. Journal of the Academy of Marketing Science, 46(3), 403–430. https://doi.org/10.1007/s11747-017-0551-8
  • Ebrahimian Jolodar, S. Y., & Ansari, M. E. (2011). An Investigation of TV Advertisement Effects on Customers’ Purchasing and their Satisfaction. International Journal of Marketing Studies, 3(4). https://doi.org/10.5539/ijms.v3n4p175
  • Ewens, W. J., & Brumberg, K. (2023). Tests on Means. In Introductory Statistics for Data Analysis (pp. 173–203). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-28189-1_13
  • Hill, S., Colas, A., Schwartz, H. A., & Burtch, G. (2019). TV Ad Events and Digital Search: On the Selection of Outcome Measures. 2019 IEEE International Conference on Big Data (Big Data), 3518–3528. https://doi.org/10.1109/BigData47090.2019.9006405
  • Hinz, O., Hill, S., & Sharma, A. (2022). Second Screening—The Influence of Concurrent TV Consumption on Online Shopping Behavior. Information Systems Research, 33(3), 809–823. https://doi.org/10.1287/isre.2021.1099
  • Joo, M., Wilbur, K. C., Cowgill, B., & Zhu, Y. (2014). Television Advertising and Online Search. Management Science, 60(1), 56–73. https://doi.org/10.1287/mnsc.2013.1741
  • Kestenbaum, B. (2019). Hypothesis Tests in Practice. In Epidemiology and Biostatistics (pp. 207–216). Springer International Publishing. https://doi.org/10.1007/978-3-319-96644-1_15
  • Kim, T. K. (2015). T test as a parametric statistic. Korean Journal of Anesthesiology, 68(6), 540. https://doi.org/10.4097/kjae.2015.68.6.540
  • Kim, T. K., & Park, J. H. (2019). More about the basic assumptions of t-test: normality and sample size. Korean Journal of Anesthesiology, 72(4), 331–335. https://doi.org/10.4097/kja.d.18.00292
  • Kitts, B., Bardaro, M., Au, D., Lee, A., Lee, S., Borchardt, J., Schwartz, C., Sobieski, J., & Wadsworth-Drake, J. (2014). Can Television Advertising Impact Be Measured on the Web? Web Spike Response as a Possible Conversion Tracking System for Television. Proceedings of the Eighth International Workshop on Data Mining for Online Advertising, 1–9. https://doi.org/10.1145/2648584.2648591
  • Lewis, R. A., & Rao, J. M. (2015). The Unfavorable Economics of Measuring the Returns to Advertising *. The Quarterly Journal of Economics, 130(4), 1941–1973. https://doi.org/10.1093/qje/qjv023
  • Liaukonyte, J., Teixeira, T., & Wilbur, K. C. (2015). Television Advertising and Online Shopping. Marketing Science, 34(3), 311–330. https://doi.org/10.1287/mksc.2014.0899
  • Lodish, L. M., Abraham, M., Kalmenson, S., Livelsberger, J., Lubetkin, B., Richardson, B., & Stevens, M. E. (1995). How T.V. Advertising Works: A Meta-Analysis of 389 Real World Split Cable T.V. Advertising Experiments. Journal of Marketing Research, 32(2), 125–139. https://doi.org/10.1177/002224379503200201
  • Martin, B. A. S., Bhimy, A. C., & Agee, T. (2002). Infomercials and advertising effectiveness: an empirical study. Journal of Consumer Marketing, 19(6), 468–480. https://doi.org/10.1108/07363760210444850
  • Siegel, A. F., & Wagner, M. R. (2022). ANOVA. In Practical Business Statistics (pp. 485–510). Elsevier. https://doi.org/10.1016/B978-0-12-820025-4.00015-4
  • Tirunillai, S., & Tellis, G. J. (2017). Does Offline TV Advertising Affect Online Chatter? Quasi-Experimental Analysis Using Synthetic Control. Marketing Science, 36(6), 862–878. https://doi.org/10.1287/mksc.2017.1040
There are 18 citations in total.

Details

Primary Language English
Subjects Media Industry Studies, Television Broadcasting, New Media
Journal Section Articles in Foreign Languages
Authors

Mert Arda Asar 0009-0007-6357-8204

Gülfem Işıklar Alptekin 0000-0003-0146-1581

Günce Keziban Orman 0000-0003-0402-8417

Publication Date January 30, 2025
Submission Date August 15, 2024
Acceptance Date December 31, 2024
Published in Issue Year 2025 Volume: 12 Issue: 1

Cite

APA Asar, M. A., Işıklar Alptekin, G., & Orman, G. K. (2025). The Short-Term Effect of TV Advertisements on Digital Traffic. Erciyes İletişim Dergisi, 12(1), 53-66.