IDEAS home Printed from https://ideas.repec.org/a/zag/market/v32y2020i1p27-46.html
   My bibliography  Save this article

Analysis of the Effectiveness of Advertising Messages. Comparison by Media, Typology, and Schedule of Advertisements

Author

Listed:
  • Margarita De-Miguel-Guzmán

    (Universidad Regional Autónoma de los Andes UNIANDES, Faculty of Business Management)

  • Carlos Ronquillo-Bolaños

    (Universidad UTE, Faculty of Administrative Sciences)

  • Alexander Sánchez-Rodríguez

    (Universidad UTE, Faculty of Administrative Sciences)

  • Gelmar García-Vidal

    (Universidad UTE, Faculty of Administrative Sciences)

  • Reyner Pérez-Campdesuñer

    (Universidad UTE, Faculty of Administrative Sciences)

  • Rodobaldo Martínez-Vivar

    (Universidad UTE, Faculty of Administrative Sciences)

Abstract

Purpose – This research aims to evaluate how the effectiveness of advertisements can vary according to three fundamental variables: the time schedule of message receipt, the media, and the type of advertising message used. Design/methodology/approach – An experiment with 375 university students related to administrative careers was devised, creating 25 work groups that were stimulated by multiple advertisements with different combinations of the described variables. Subsequently, various techniques were applied to evaluate the ads used. Findings and implications – The main results showed that advertisements with musical messages have a greater capacity to be retained in the minds of their recipients; similarly, advertising messages that are transmitted through the use of audiovisual media have a greater capacity to please or attract. Limitation – The main limitation is associated primarily with the characteristics of the sample, as it is a very specific audience, where the influence of other demographic variables, including age, sex, marital status, and living conditions, was not considered. Originality – The results obtained confirm the contributions of previous studies and reveal patterns of behavior related to the impact of the media and the type of advertisement that is used in its potential to stimulate memories in the subjects receiving the message and to please the target audience, fundamentally in the messages aimed at young audiences (university students). In addition, it provides information on how some attributes that distinguish the advertisement, according to the type of advertising messages used, should be considered as an additional criterion for managers to decide on the type of the advertising message, the fair amount to use, and the most beneficial transmission schedule of such advertisements.

Suggested Citation

  • Margarita De-Miguel-Guzmán & Carlos Ronquillo-Bolaños & Alexander Sánchez-Rodríguez & Gelmar García-Vidal & Reyner Pérez-Campdesuñer & Rodobaldo Martínez-Vivar, 2020. "Analysis of the Effectiveness of Advertising Messages. Comparison by Media, Typology, and Schedule of Advertisements," Tržište/Market, Faculty of Economics and Business, University of Zagreb, vol. 32(1), pages 27-46.
    • Handle: RePEc:zag:market:v:32:y:2020:i:1:p:27-46
    DOI: 10.22598/mt/2020.32.1.27
    as

    Download full text from publisher

    File URL: https://doi.org/10.22598/mt/2020.32.1.27
    Download Restriction: None
    File URL: https://libkey.io/10.22598/mt/2020.32.1.27?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
    ---><---

    References listed on IDEAS

    as
    1. Lin, Trisha T.C. & Paragas, Fernando & Goh, Dion & Bautista, John Robert, 2016. "Developing location-based mobile advertising in Singapore: A socio-technical perspective," Technological Forecasting and Social Change, Elsevier, vol. 103(C), pages 334-349.
    2. Muk, Alexander & Chung, Christina, 2015. "Applying the technology acceptance model in a two-country study of SMS advertising," Journal of Business Research, Elsevier, vol. 68(1), pages 1-6.
    3. Lancellotti, Matthew P. & Thomas, Sunil, 2018. "Men hate it, women love it: Guilty pleasure advertising messages," Journal of Business Research, Elsevier, vol. 85(C), pages 271-280.
    4. Anderson, Simon & Baik, Alicia & Larson, Nathan, 2015. "Personalized pricing and advertising: An asymmetric equilibrium analysis," Games and Economic Behavior, Elsevier, vol. 92(C), pages 53-73.
    5. Martins, José & Costa, Catarina & Oliveira, Tiago & Gonçalves, Ramiro & Branco, Frederico, 2019. "How smartphone advertising influences consumers' purchase intention," Journal of Business Research, Elsevier, vol. 94(C), pages 378-387.
    6. Kim, Ho & Bruce, Norris I., 2018. "Should sequels differ from original movies in pre-launch advertising schedule? Lessons from consumers' online search activity," International Journal of Research in Marketing, Elsevier, vol. 35(1), pages 116-143.
    7. Mpinganjira, Mercy & Maduku, Daniel K., 2019. "Ethics of mobile behavioral advertising: Antecedents and outcomes of perceived ethical value of advertised brands," Journal of Business Research, Elsevier, vol. 95(C), pages 464-478.
    8. Hsu, Ching-Chi & Chen, Miao-Ling, 2018. "Timing of advertising and the MAX effect," Journal of Behavioral and Experimental Finance, Elsevier, vol. 20(C), pages 105-114.
    9. Gijsenberg, Maarten J. & Nijs, Vincent R., 2019. "Advertising spending patterns and competitor impact," International Journal of Research in Marketing, Elsevier, vol. 36(2), pages 232-250.
    10. Lau, Hei Tong & Lee, Richard, 2018. "Ethnic media advertising effectiveness, influences and implications," Australasian marketing journal, Elsevier, vol. 26(3), pages 216-220.
    11. Greiner, Tanja & Sahm, Marco, 2018. "How effective are advertising bans? On the demand for quality in two-sided media markets," Munich Reprints in Economics 62822, University of Munich, Department of Economics.
    12. Greiner, Tanja & Sahm, Marco, 2018. "How effective are advertising bans? On the demand for quality in two-sided media markets," Information Economics and Policy, Elsevier, vol. 43(C), pages 48-60.
    13. Kopalle, Praveen K. & Lehmann, Donald R., 2015. "The Truth Hurts: How Customers May Lose From Honest Advertising," International Journal of Research in Marketing, Elsevier, vol. 32(3), pages 251-262.
    14. Strebinger, Andreas & Guo, Xiaoling & Klauser, Ferdinand & Grant-Hay, Peter, 2018. "Is Multi-Ethnic Advertising a globally viable strategy for a Western luxury car brand? A mixed-method cross-cultural study," Journal of Business Research, Elsevier, vol. 82(C), pages 409-416.
    15. Kubat, Umut & Swaminathan, Vanitha, 2015. "Crossing the cultural divide through bilingual advertising: The moderating role of brand cultural symbolism," International Journal of Research in Marketing, Elsevier, vol. 32(4), pages 354-362.
    16. Esteves, Rosa-Branca & Resende, Joana, 2019. "Personalized pricing and advertising: Who are the winners?," International Journal of Industrial Organization, Elsevier, vol. 63(C), pages 239-282.
    17. Eisenberg, Matthew D. & Avery, Rosemary J. & Cantor, Jonathan H., 2017. "Vitamin panacea: Is advertising fueling demand for products with uncertain scientific benefit?," Journal of Health Economics, Elsevier, vol. 55(C), pages 30-44.
    18. Dulebenets, Maxim A. & Ozguven, Eren Erman & Moses, Ren, 2018. "The Highway Beautification Act: Towards improving efficiency of the Federal Outdoor Advertising Control Program," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 88-106.
    19. Bruno, Pascal & Melnyk, Valentyna & Völckner, Franziska, 2017. "Temperature and emotions: Effects of physical temperature on responses to emotional advertising," International Journal of Research in Marketing, Elsevier, vol. 34(1), pages 302-320.
    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. Changying Li & Youping Li & Jianhu Zhang, 2023. "On the regulation of public broadcasting," Journal of Economics, Springer, vol. 138(2), pages 129-146, March.
    2. Wang, Guoqiang & Tan, Garry Wei-Han & Yuan, Yunpeng & Ooi, Keng-Boon & Dwivedi, Yogesh K., 2022. "Revisiting TAM2 in behavioral targeting advertising: A deep learning-based dual-stage SEM-ANN analysis," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    3. Gang Liu & Fengyue An, 2021. "Video Platforms’ Value-Added Service Investments and Pricing Strategies for Advertisers," Sustainability, MDPI, vol. 13(24), pages 1-24, December.
    4. Lu, Chih-Cheng & Wu, Ing-Long & Hsiao, Wei-Hung, 2019. "Developing customer product loyalty through mobile advertising: Affective and cognitive perspectives," International Journal of Information Management, Elsevier, vol. 47(C), pages 101-111.
    5. Qihong Liu & Daniel Nedelescu & Ji Gu, 2021. "The impact of strategic agents in two-sided markets," Journal of Economics, Springer, vol. 134(3), pages 195-218, December.
    6. Lei Yan & Yuxiang Zhang & Shue Mei & Weijun Zhong, 2024. "Personalized pricing with persuasive advertising and the value of consumer information: a duopoly framework," Electronic Commerce Research, Springer, vol. 24(3), pages 1533-1562, September.
    7. Siemering, Christian, 2023. "A model of endogenous targeting in duopoly," Information Economics and Policy, Elsevier, vol. 64(C).
    8. Henriques, David, 2021. "Effects of TV airtime regulation on advertising quality and welfare," Information Economics and Policy, Elsevier, vol. 55(C).
    9. Peter Mantello & Manh-Tung Ho & Minh-Hoang Nguyen & Quan-Hoang Vuong, 2023. "Machines that feel: behavioral determinants of attitude towards affect recognition technology—upgrading technology acceptance theory with the mindsponge model," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-16, December.
    10. Lim, Joon Soo & Zhang, Jun, 2022. "Adoption of AI-driven personalization in digital news platforms: An integrative model of technology acceptance and perceived contingency," Technology in Society, Elsevier, vol. 69(C).
    11. Willems, Kim & Smolders, Annelien & Brengman, Malaika & Luyten, Kris & Schöning, Johannes, 2017. "The path-to-purchase is paved with digital opportunities: An inventory of shopper-oriented retail technologies," Technological Forecasting and Social Change, Elsevier, vol. 124(C), pages 228-242.
    12. Attahiru Gana, Matthew, 2018. "Personalization Of Tourism Services Through Locationbased Social Network In Nigeria," Ilorin Journal of Business and Social Sciences, Faculty of Social Sciences, University of Ilorin, vol. 20(1), pages 104-117, March.
    13. Caldieraro, Fabio & Cunha, Marcus, 2022. "Consumers’ response to weak unique selling propositions: Implications for optimal product recommendation strategy," International Journal of Research in Marketing, Elsevier, vol. 39(3), pages 724-744.
    14. Joao Montez & Nicolas Schutz, 2021. "All-Pay Oligopolies: Price Competition with Unobservable Inventory Choices [Extremal Equilibria of Oligopolistic Supergames]," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(5), pages 2407-2438.
    15. Rizwan Raheem Ahmed & Jolita Vveinhardt & Dalia Streimikiene, 2017. "Interactive digital media and impact of customer attitude and technology on brand awareness: evidence from the South Asian countries," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 18(6), pages 1115-1134, November.
    16. Oviedo-Trespalacios, Oscar & Truelove, Verity & Watson, Barry & Hinton, Jane A., 2019. "The impact of road advertising signs on driver behaviour and implications for road safety: A critical systematic review," Transportation Research Part A: Policy and Practice, Elsevier, vol. 122(C), pages 85-98.
    17. Cheah, Jun-Hwa & Lim, Xin-Jean & Ting, Hiram & Liu, Yide & Quach, Sara, 2022. "Are privacy concerns still relevant? Revisiting consumer behaviour in omnichannel retailing," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    18. Didier Laussel & Ngo Van Long & Joana Resende, 2023. "Profit Effects of Consumers’ Identity Management: A Dynamic Model," Management Science, INFORMS, vol. 69(6), pages 3602-3615, June.
    19. Ivan A. Guitart & Guillaume Hervet & Sarah Gelper, 2020. "Competitive advertising strategies for programmatic television," Journal of the Academy of Marketing Science, Springer, vol. 48(4), pages 753-775, July.
    20. Syed Far Abid Hossain & Zhao Xi & Mohammad Nurunnabi & Khalid Hussain, 2020. "Ubiquitous Role of Social Networking in Driving M-Commerce: Evaluating the Use of Mobile Phones for Online Shopping and Payment in the Context of Trust," SAGE Open, , vol. 10(3), pages 21582440209, July.

    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:zag:market:v:32:y:2020:i:1:p:27-46. 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: Tanja Komarac (email available below). General contact details of provider: https://edirc.repec.org/data/fefzghr.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.