Financial Justification for the Use of Innovative Digital Marketing Tools
Pages: 127–140
Received: 19 June 2024
Revised: 27 August 2024
Accepted: 26 September 2024
Abstract
This article presents a comprehensive study aimed at analysing the impact of innovative digital marketing tools on the promotion of dairy products. This study is relevant because of the rapid dynamics of the digital environment and the need for enterprises to adapt to new marketing trends. The article investigates the feasibility of using innovative digital marketing tools in accordance with the segments of the target audience on the basis of the definition of their values. The main problem is the lack of scientific justification for the choice of innovative digital marketing tools for potential audiences, as well as the analysis of the feasibility of digital marketing costs. The hypothesis of the study is that, on the basis of the analysis of the values of consumer groups, as well as the analysis of the feasibility of marketing costs, it is possible to select the most relevant innovative digital marketing tools. The main purpose of the study is to justify the use of innovative digital marketing tools on the basis of consumer values, as well as to justify the feasibility of digital marketing costs on the basis of the analysis of financial statements. The methodology included cluster analysis of the target audience and analysis of financial ratios. One of the key stages of the study was the cluster analysis of the target audience, which allowed us to identify different consumer segments with different needs and values. Three clusters of consumer audiences in the dairy industry were identified, the corresponding values of customers in the clusters were substantiated, and recommendations for identifying innovative digital marketing tools were proposed, taking into account the feasibility of the marketing costs of the enterprise. The key coefficients for making informed management decisions on the feasibility of digital marketing costs are allocated. By analysing these coefficients, an enterprise can assess its financial capabilities and make a decision on how to invest in innovative digital marketing tools. This allows enterprises to make informed decisions about investing in digital marketing, minimizing financial risk and increasing the chances of successful implementation of marketing strategies. This study significantly adds to the body of knowledge in the field of digital marketing by offering a scientifically based approach to the selection of innovative marketing tools on the basis of the analysis of consumer value and the financial feasibility of costs. The practical application of the research results lies in the ability of dairy enterprises to promote their products online on the basis of a thorough selection of innovative digital marketing tools, reducing financial risk. This creates a basis for further research in the field of digital marketing, particularly in the context of the integration of innovative digital marketing tools and their impact on consumer behaviour.
Keywords: financial justification of costs; digital marketing; dairy industry; cluster analysis; target audience; marketing of impressions; innovative digital marketing tools; financial analysis; costs.
How to Cite: Tataryntseva, Y., Manoylenko, O. & Shmatko, N. (2024). Financial Justification for the Use of Innovative Digital Marketing Tools. Marketing and Management of Innovations, 15(3), 127–140. https://doi.org/10.21272/mmi.2024.3-10
Abstract Views
PDF Downloads
This work is licensed under a Creative Commons Attribution 4.0 International License
References
- Aktas, A., & Akur, N. (2022). Making obsolescence obsolete: Execution of digital transformation in a high-tech manufacturing SME. Journal of Business Research, 152, 336–348. [Google Scholar] [CrossRef]
- Akter, M., & Sultana, N. (2020). Digital marketing communication and consumer buying decision process in pandemic standpoint (COVID-19): An empirical study of Bangladeshi customers in branded cosmetics perspective. Open Journal of Business and Management, 8(06), 26-96. [Google Scholar] [CrossRef]
- Aljabari, M., Althuwaini, S., Bouguerra, A., Sharabati, A. A.-A., Allahham, M., & Allan, M. (2024). The impact of digital marketing strategies on innovation: The mediating role of AI: A critical study of SMEs in the KSA market. International Journal of Data and Network Science, 8(4), 2029-2036. [CrossRef]
- AL-share, F. A., AL-zoubi, N. A., Al-zoubi, A. F., & Alzu’bi, A. A. (2023). The impact of e-marketing relationship management at achieving competitive advantage: A prospective study on a sample of banks employees in Jordan. Journal of Namibian Studies: History Politics Culture, 34, 1303-1325. [Google Scholar] [CrossRef]
- Ashraf, M., Ahmad, J., Sharif, W., Raza, A. A., Shabbir, M. S., Abbas, M., & Thurasamy, R. (2020). The role of continuous trust in usage of online product recommendations. Online Information Review, 44(4), 745-766. [Google Scholar] [CrossRef]
- Aslam, W., Arif, I., Atiq, Z., & Hussain, F. (2021). Connecting Mobile Application Features with Perceived Benefits in Determining Postadoption Behaviour. FIIB Business Review, 10(4), 454–465. [Google Scholar] [CrossRef]
- Avramidis, E., Strogilos, V., Aroni, K., & Kantaraki, C. T. (2017). Using sociometric techniques to assess the social impacts of inclusion: Some methodological considerations. Educational Research Review, 20, 68-80. [Google Scholar] [CrossRef]
- Babukh, I. (2017). Commercialization of Market Innovations as Exclusive Task of Innovative Marketing. Marketing and Management of Innovations, 3, 15–22. [Google Scholar] [CrossRef]
- Bhaiswar, R., Meenakshi, N., & Chawla, D. (2021). Evolution of Electronic Word of Mouth: A Systematic Literature Review Using Bibliometric Analysis of 20 Years (2000–2020). FIIB Business Review, 10(3), 215–231. [Google Scholar] [CrossRef]
- Borsellino, V., Pecoraro, N., & Schimmenti, E. (2023). Promoting dairy products through the web: The case of Pecorino Siciliano PDO during the COVID-19 pandemic. International Journal of Dairy Technology, 76(2), 393–407. [Google Scholar] [CrossRef]
- Cao, G., & Weerawardena, J. (2023). Strategic use of social media in marketing and financial performance: The B2B SME context. Industrial Marketing Management, 111, 41–54. [Google Scholar] [CrossRef]
- Capelli, S., & Thomas, F. (2021). To look tasty, let us show the ingredients! Effects of ingredient images on implicit tasty–healthy associations for packaged products. Journal of Retailing and Consumer Services, 61. [Google Scholar] [CrossRef]
- Chen, X., & Liu, Y. (2023). Private labels strategy, retail profitability, and bargaining power in the fluid milk market. Journal of Agricultural and Food Industrial Organization, 21(2), 171-182. [Google Scholar] [CrossRef]
- Dey, B. L., Yen, D., & Samuel, L. (2019). Digital consumer culture and digital acculturation. International Journal of Information Management, 51, 102-157. [Google Scholar] [CrossRef]
- Dwivedi, A., & Pawsey, N. (2023). Examining the drivers of marketing innovation in SMEs. Journal of Business Research, 155, 113409.[Google Scholar] [CrossRef]
- Fanning, S. (2021). We will not stop until the world dreams in cheese: Redefining the Wisconsin cheese brand. Journal of Brand Strategy, 10(1), 26–35. [Google Scholar] [CrossRef]
- Financial statements of Molzavod No. 1 LLC for 2023.
- Fonseca, S. E. O., Gomes, D. S., Dantas, L. O. C., & Henriques, P. (2024). NBCAL violation of products that compete with breastfeeding on the social network Instagram. Ciencia e Saude Coletiva, 29(4). [Google Scholar] [CrossRef]
- Haleem, A., Javaid, M., Qadri, M. A., Singh, R. P., & Suman, R. (2022). Artificial intelligence (AI) applications for marketing: A literature-based study. International Journal of Intelligent Networks. [Google Scholar] [CrossRef]
- Hurina, O., Karpenko, V., Vdovichena, O., Lipych, L., & Herylo, V. (2023). B2B marketing strategies: Value creation, key customer acquisition and preservation. Financial and Credit Activity: Problems of Theory and Practice, 5(52), 543-561. [Google Scholar] [CrossRef]
- Ida, R., Saud, M., & Mashud, M. (2020). An empirical analysis of social media usage, political learning and participation among youth: A comparative study of Indonesia and Pakistan. Quality & Quantity. 54, 1285-1297. [Google Scholar] [CrossRef]
- Islam, T., Miron, A., Nandy, M., Choudrie, J., Liu, X., & Li, Y. (2024). Transforming digital marketing with generative AI. Computers, 13(7). [Google Scholar] [CrossRef]
- Jiang, L., & Yukio, K. (2024). How VLOG Promotion Content Influences Consumer Attitudes. Marketing and Management of Innovations, 15(1), 241-251. [Google Scholar] [CrossRef]
- Jocevski, M., Arvidsson, N., Miragliotta, G., Ghezzi, A., & Mangiaracina, R. (2019). Transitions towards omni-channel retailing strategies: A business model perspective. International Journal of Retail & Distribution Management, 47(2), 78-93. [Google Scholar] [CrossRef]
- Karetsos, S., Zafeirakopoulos, N., Papadopoulou, E., & Costopoulou, C. (2023). Social media adoption by the Greek dairy industry. In Influences of Social Media on Consumer Decision-Making Processes in the Food and Grocery Industry, 213-241. IGI Global. [Google Scholar][CrossRef]
- Kobets, D., Terentieva, N., Shkvyria, N., Lysytsia, N., & Siemak, I. (2024). Digitalization and its impact on the development of contemporary marketing strategies. Economic Affairs, 69(2), 1021-1040. [CrossRef]
- Kopalle, P. K., Gangwar, M., Kaplan, A., Ramachandran, D., Reinartz, W., & Rindfleisch, A. (2022). Examining artificial intelligence (AI) technologies in marketing via a global lens: Current trends and future research opportunities. International Journal of Research in Marketing, 39(2), 522-540. [Google Scholar] [CrossRef]
- Koryugin, A., & Matveev, M. (2024). Marketing management of agrarian business: challenges of digitization. Herald of Khmelnytskyi National University. Economic sciences, 328(2), 32–38. [Google Scholar] [CrossRef]
- Kulish, T., Sokil, Y., Legeza, D., Sokil, O., Budnikevich, I., & Diyora, B. (2024). Digitalization of consumers’ behavior model in the dairy market. Data-Centric Business and Applications, 195, 187-205. [Google Scholar] [CrossRef]
- Kumar, A., Bapat, G., Kumar, A., Hota, S. L., Abishek, G. D., & Vaz, S. (2024). Unlocking brand excellence: Harnessing AI tools for enhanced customer engagement and innovation. Engineering Proceedings, 59(1), 204-210 [Google Scholar] [CrossRef]
- Kuzyk, O., Kabanova, O., Chyrva, H., Vlasenko, D., & Komarnytska, H. (2023). Trends and perspectives on the impact of digital technologies on the efficacy of marketing communication. Financial and Credit Activity Problems of Theory and Practice, 6(53), 471-486.[Google Scholar] [CrossRef]
- Lee, Z. W., Chan, T. K., Chong, A. Y. L., & Thadani, D. R. (2019). Customer engagement through omnichannel retailing: The effects of channel integration quality. Industrial Marketing Management, 77, 90-101. [Google Scholar] [CrossRef]
- Martínez-Domínguez, M., & Mora-Rivera, J. (2020). Internet adoption and usage patterns in rural Mexico. Technology in Society. [Google Scholar] [CrossRef]
- Martynenko, M., Losheniuk, O., Demchenko, H., & Osypenko, N. (2023). Developing and implementing digital marketing strategies of the future: Toward improving product quality and competitiveness. Futurity Economics & Law, 3(1), 63-84. [Google Scholar] [CrossRef]
- Mishra, A., & Shukla, A. (2023). Gyan Fresh: Digital Transformation of Dairy Business with Resilience and Technology Innovation. FIIB Business Review, 12(1), 20–30. [Google Scholar] [CrossRef]
- Naglova, Z., Kotyza, P., Slaboch, J., Halova, P., Czech, K., Wielechowski, M., & Cherevyk, D. (2022). The impact of crisis situations on the operation of dairy farms and milk processors in Poland. Agriculture, 12(11), 1741.
- Nastisin, L., Fedorko, R., Gavurova, B., & Bacik, R. (2024). Examination of Content Types and Social Media Engagement Indicators on Facebook: Case Analysis of a 5-Star Hotels of Visegrad Group Countries. Marketing and Management of Innovations, 15(1), 112–119. [Google Scholar] [CrossRef]
- Oklander, M., & Oklander, T. (2017). Segmentation and Communication in Digital Marketing. Marketing and Management of Innovations, 3, 69–78. [Google Scholar]
- Oklander, M., Yashkina, O., Zlatova, I., Cicekli, I., & Letunovska, N. (2024). Digital Marketing in the Survival and Growth Strategies of Small and Medium-Sized Businesses During the War in Ukraine. Marketing and Management of Innovations, 15(1), 15–28. [Google Scholar]
- Paliwal, M., & Chatradhi, N. (2023). AI in market research: Transformative customer insights – A systematic review. In Exploring the intersection of AI and human resources management (pp. 231-255). IGI Global. [Google Scholar] [CrossRef]
- Pan, W. R., Xie, T., Wang, Z. W., & Ma, L. S. (2022). Digital economy: An innovation driver for total factor productivity. Journal of Business Research, 139, 303-311. [Google Scholar] [CrossRef]
- Parkhomenko, N., Starchon, P., Vilchekova, L., & Olsavskyi, F. (2024). Digitization of marketing as an innovative tool for consumer evaluation [Tsyfrovizatsiia marketynhu yak innovatsiinyi instrument otsinky spozhyvachiv]. Marketing and Innovation Management, 15(1), 120–130. [Google Scholar] [CrossRef]
- Patel, N., & Trivedi, S. (2020). Leveraging predictive modelling, machine learning personalization, NLP customer support, and AI chatbots to increase customer loyalty. Empirical Quests for Management Essences, 3(3), 1-24. [Google Scholar] [CrossRef]
- Peng, T., & Chen, X. (2022). The effect of intrinsic attributes of IoT product on brand image and customer loyalty. Journal of Digital Convergence, 20(5), 61-68. [Google Scholar] [CrossRef]
- Pine, J. B., & Gilmore, J. H. (1999). The Experience Economy. Boston: Harvard Business School Press. [Google Scholar]
- Polishchuk, I., Dovhan, Y., Hromova, O., Dovhan, L., & Hnydiuk, I. (2022). Tools for marketing management of the innovation and investment activity. Financial and Credit Activity Problems of Theory and Practice, 2(43), 228-237. [Google Scholar] [CrossRef]
- Rane, N. (2023). Enhancing customer loyalty through artificial intelligence (AI), internet of things (IoT), and big data technologies: Improving customer satisfaction, engagement, relationship, and experience. SSRN Electronic Journal. [Google Scholar] [CrossRef]
- Report of the All-Ukrainian Advertising Coalition. The volume of the advertising and communication market of Ukraine in 2023 and the forecast of market volumes in 2024. [Link]
- Rosid, A., Judijanto, L., Stiadi, M., Rostini, R., & Mohamad, M. T. (2023). Contemporary marketing management strategies: Navigating complexity and challenges in the dynamic industry era. International Journal of Economic Literature, 1(3), 271-284. [Google Scholar] [CrossRef]
- Sanakuiev, M., Mуkhalchenko, H., Semenda, O., & Vdovichena, O. (2023). Information marketing: The essence, characteristics, and trends of development. Futurity Economics & Law, 3(1), 16-27. [Google Scholar] [CrossRef]
- Sanchez-Gutierrez, J., Cabanelas, P., Lampón, J. F., & Gonzalez-Alvarado, T. E. (2019). The impact on competitiveness of customer value creation through relationship capabilities and marketing innovation. Journal of Business & Industrial Marketing, 34(3), 618-627. [Google Scholar] [CrossRef]
- Shahid, S., & Qureshi, J. A. (2022). Consumer empowerment in the digital media marketing age: A comparative literature review and trends across selected countries. 3C Empresa. Investigación y pensamiento crítico, 11(1), 149-177. [Google Scholar] [CrossRef]
- Sheng, J., Amankwah-Amoah, J., & Wang, X. (2019). Technology in the 21st century: New challenges and opportunities. Technological Forecasting and Social Change, 143, 321-335. [Google Scholar] [CrossRef]
- Soares, N., Braga, R., David, J., Siqueira, K., Nogueira, Th., Campos, E., Moares, E., & Capriles, P. (2021). REDIC: Recommendation of Digital Influencers of Brazilian Artisanal Cheese: REDIC: Recomendação de Influenciadores Digitais do Queijo Artesanal Brasileiro. SBSI 2021: XVII Brazilian Symposium on Information Systems. [Google Scholar] [CrossRef]
- Sun, L., He, H., Yue, C., & Lin, W. (2023). Unleashing competitive edge in the digital era: Exploring information interaction capabilities of emerging smart manufacturing enterprises. Journal of the Knowledge Economy, 1-45. [Google Scholar] [CrossRef]
- Tataryntseva, Y. (2024). Managing digital marketing in the experience economy: theory and practice: monograph. Kharkiv: NTU “KhPI”. [Google Scholar]
- Tataryntseva, Y., Pushkar, O., Druhova, O., Osypova, S., & Mordovtsev, O. (2022). Economic Evaluation of Digital Marketing Management At The Enterprise. Eastern-European Journal of Enterprise Technologies, 2(13), 116. [Google Scholar] [CrossRef]
- Wellman, M. L., Stoldt, R., Tully, M., & Ekdale, B. (2020). Ethics of authenticity: Social media influencers and the production of sponsored content. Journal of Media Ethics, 35(2), 68-82. [Google Scholar] [CrossRef]
- Wilkie, H. D. C., Dolan, R., Harrigan, P., & Gray, H. (2022). Influencer marketing effectiveness: The mechanisms that matter. European Journal of Marketing, 56(12), 3485-3515. [Google Scholar] [CrossRef]
- Zhao, J., Freeman, B., Guo, R. H., & Li, M. (2021). Uncovering milk formula advertisements on the Chinese social media platform Weibo. Journal of Medical internet Research. [CrossRef]
View articles in other formats
License
This work is licensed under a Creative Commons Attribution 4.0 International License
Coyright
Copyright (c) 2024 The Author(s).
Published by Sumy State University
Issue