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Planning the digital marketing budget: computer modelling for decision making

Published Online: Mar 15, 2023
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Abstract:
Objectives: The rational distribution of the advertising budget in conducting an advertising campaign using digital marketing tools is very relevant and tricky. The possibility of computer simulation of the results of the joint use of various Internet advertising tools and their impact on buyers is considered. Methods/Approach: It is proposed to use approaches based on simulation of the long-term impact of digital advertising on potential consumers. Three primary states of awareness and actions of consumers are distinguished and modelled: an uninformed consumer, a consumer who is aware of the product, a buyer, and a regular buyer. We study the dynamics of changes in the number of consumers in each group during exposure to various components of a digital advertising campaign. Results: A computer simulation model has been developed to change consumers' states during an advertising campaign. It numerically simulates the sequential transition of potential consumers to the state of regular buyers and back under the influence of the considered means of online advertising. Conclusions: The developed approach makes it possible to predict the dynamics of changes in the number of consumers and its relationship with the ratio of elements of an advertising campaign over time. The proposed model is simple to use and has good opportunities for further development.
Keywords:
Pages:
248-260
JEL Classification:
M31, M37, D12
How to cite:
Dorokhova, L.; Kuusik, A.; Dimitrov, R., Pentus, K.; Dorokhov, O.; Petrova, M. (2023). Planning the digital marketing budget: computer modelling for decision making. Access to science, business, innovation in the digital economy, ACCESS Press, 4(2), 248-260, https://doi.org/10.46656/access.2023.4.2(7)
References:
  • Batyrbekova, M., Petrova, M., Ussova I. (2020). Compositional Modeling of Assessment of the Impact of Digital Strategy. Journal of Security and Sustainability Issues. 10(2):39-48
  • Chaolin, P. (2020). Channel Optimization of Marketing Based on Users’ Social Network Information. Complexity. 2020:1-10
  • Choudur, L., Mingzhang, Y. (2020). Topological data analysis in digital marketing. Applied Stochastic Models in Business and Industry. 36(6):1014-1028
  • Delen, D., Dorokhov, O., Dorokhova, L., Dinçer, H., Yüksel, S. (2020). Balanced scorecard-based analysis of customer expectations for cosmetology services: a hybrid decision modeling approach. Journal of Management Analytics. 7(4):532-563
  • Dorokhova, L., Dorokhov, O. (2017). Computer fuzzy model regarding pharmacies integral perceptions by visitors. Bulletin of the Transilvania University of Brasov, Series III: Mathematics, Informatics, Physics. 10(59):155-170
  • Dyachenko, Yu., Nenkov, N., Petrova, M., Skarga-Bandurova, I., Soloviov, O. (2018). Approaches to Cognitive Architecture of Autonomous Intelligent Agent. Biologically Inspired Cognitive Architectures, Elsevier, Volume 26, Pages 130-135, https://doi.org/10.1016/j.bica.2018.10.004
  • Exenberger, E., Bucko, J. (2020). Analysis of Online Consumer Behavior - Design of CRISP-DM Process Model. AGRIS online Papers in Economics and Informatics. 10(3):13-22
  • Fric, U., Stres, Š., Blatnik, R. (2022). Software: Protection, Licensing and Rewarding Researchers in Computer Science – An Overview of Challenges in the European Innovation Ecosystem. Informatica. 46(9):1–6
  • Gams, M. (2022). IJCAI-ECAI 2022: Can Europe Revive its Position in AI after Lagging Behind the US and China? AI is dead, long live AI! Informatica. 46(3):301–304
  • Geldiev, E., Nenkov, N., Petrova, M. (2018). Exercise of Machine Learning Using Some Python Tools and Techniques. CBU International conference proceedings 2018: Innovations in Science and Education, 21.-23.03.2018, pp.1062-1070, ISSN 1805-997X (Print), Online ISSN 1805-9961. https://doi.org/10.12955/cbup.v6.1295
  • Halunko, V., Kurkova, K., Oksin, V. (2018). Methods of Assessing the Efficiency of Internet Marketing Communications. Baltic Journal of Economic Studies. 4(4):76-86
  • Hon, Y., Ho, T. (2018). Analyzing ecology of Internet marketing in small and medium sized enterprises with unsupervised learning algorithm. Journal of Marketing Analytics. 6(2):53-61
  • Hsin, L., Chia, L., Shu, L., Han, C. (2019). Analyzing the Intention of Consumer Purchasing Behaviors in Relation to Internet Memes Using VAB Model. Sustainability.11(20):1-12
  • Hui, J., Junhai, M. (2018). Effects of Internet Sales Promotion on a Differential Advertising Model, Discrete Dynamics in Nature and Society. Hindawi. 2018:1-11
  • Kaczorowska, D. (2019). How chatbots influence marketing. Management. 23(1):251-270
  • Kőrösi, G., Vinkó, T. (2021). A practical framework for real life webshop sales promotion targeting. Informatica. 45(4):625–632
  • Limba, T., Kiškis, M., Gulevičiūtė, G., Stasiukynas, A., Plėta, T., Juozapavičiūtė, E. (2018). Model based on qualitative criteria for internet marketing development. Entrepreneurship and Sustainability Issues. 5(3):618-633
  • Liping, L., Chih, F. (2020). Accelerating the Social Media Process: The Impact of Internet Celebrity Word-of-Mouth Communication and Relationship Quality on Consumer Information Sharing. International Journal of Human Resource Studies. 10(1):201-222
  • Mikhno I., Koval V., Ternavskyi A. 2020. Strategic management of healthcare institution development of the national medical services market. Access to science, business, innovation in digital economy, ACCESS Press, 1(2): 157-170, https://doi.org/10.46656/access.2020.1.2(7)
  • Palos, P., Martin, F., Ramon, J. (2018). Complexity in the Acceptance of Sustainable Search Engines on the Internet: An Analysis of Unobserved Heterogeneity with FIMIX-PLS. Complexity. 2018:1-19
  • Petrova, M., Buzko, I., Dyachenko, Yu. (2018). Cognitive, Intelligence Technologies and Economical Foundations of Teaching of International Economical Relations and Tourism. 17th International Scientific Conference ENGINEERING FOR RURAL DEVELOPMENT, 23.-25.05.2018. Jelgava, Latvia, pp. 1102-1106, https://doi.org/10.22616/erdev2018.17.n170
  • Pi, H., Yi, L. (2020). Developing a Selection Model for YouTubers Suited for Ad Placement Video Using AHP. International Journal of Information Communication Technologies and Human Development. 12(2):1-14
  • Pluta, M. (2018). Integrated marketing communication - concepts, practice, new challenges. Marketing of Scientific and Research Organizations. 28(2):121-138
  • Satinder, K., Kamaljeet, K. (2020). S-commerce: perception analysis using PLS-SEM. International Journal of Business and Globalisation. 26(4):345-359
  • Yu, C., Jin, P. (2020). Investigating Factors Influencing the Behavioral Intention of Online Duty-Free Shop Users. Sustainability. 12(17):1-20

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