TY - JOUR T1 - The Short-Term Effect of TV Advertisements on Digital Traffic TT - TV Reklamlarının Dijital Trafik Üzerindeki Kısa Vadeli Etkisi AU - Asar, Mert Arda AU - Işıklar Alptekin, Gülfem AU - Orman, Günce Keziban PY - 2025 DA - January Y2 - 2024 DO - 10.17680/erciyesiletisim.1534189 JF - Erciyes İletişim Dergisi JO - JEC PB - Erciyes University WT - DergiPark SN - 1308-3198 SP - 53 EP - 66 VL - 12 IS - 1 LA - en AB - 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. KW - Cross-media marketing KW - Television advertising KW - Media planning KW - TV-ad impact measurement KW - Statistical analysis KW - Web session traffic KW - ANOVA KW - T-test KW - Factor analysis. N2 - 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. CR - 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 CR - 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 CR - 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 CR - 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 CR - 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 CR - 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 CR - 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 CR - 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 CR - 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 CR - 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 CR - 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 CR - 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 CR - 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 CR - 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 CR - 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 CR - 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 CR - 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 CR - 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 UR - https://doi.org/10.17680/erciyesiletisim.1534189 L1 - https://dergipark.org.tr/en/download/article-file/4149387 ER -