GENERATIONAL SEGMENTATION AS A TOOL FOR OPTIMISING DIGITAL
STRATEGIES IN THE HOTEL INDUSTRY
Iryna KYRYLIUK
Kherson State Agrarian and Economic University,
Kherson / Kropyvnytskyi
https://orcid.org/0000-0001-9814-195X
Nataliia BARVINOK
Uman National University, Uman
https://orcid.org/0000-0002-6661-4780
Victoriia KRASNOMOVETS
Bohdan Khmelnytsky Cherkasy National University, Cherkasy
https://orcid.org/0000-0001-5806-8348
DOI: http://doi.org/10.34025/2310-8185-2026-2.102.01
Keywords: hospitality industry, tourism, generational theory, digital marketing, optimisation of communication channels, consumer behaviour, shifting consumer priorities, personalised service, digital innovation, marketing strategies, management, Generation Alpha.
Summary
Traditional mass marketing approaches in the hospitality industry do not always ensure an adequate level of personalisation in interactions with consumers in the context of digital transformation. This fact highlights the need to adapt marketing strategies and digital interaction tools, taking into account the characteristics of different consumer generations. The aim of this study is to provide a theoretical justification for, and to develop a methodological framework for optimising digital strategies in the hospitality industry based on generational segmentation of consumers, with a view to enhancing the effectiveness of integrated marketing communications, optimising costs and ensuring the sustainable development of organisations in the tourism, hotel and restaurant sectors.
Generational differences in tourism expenditure, consumer priorities and digital preferences have been systematised, which has made it possible to justify the advisability of differentiating digital communications in accordance with the characteristics of target consumer segments. It has been established that generational segmentation should be applied as an additional tool for personalisation, combining it with the demographic, psychographic and behavioural characteristics of consumers. A matrix for the generational optimisation of digital communication channels has been developed, which distinguishes between priority communication channels, content formats and the recommended tone of marketing messages for different generations. The feasibility of using multi-channel attribution models for a more comprehensive assessment of the contribution of digital channels to generating consumer interest and securing bookings has been substantiated, particularly taking into account the influence of social media and user-generated content. A conceptual three-tier system of digital priorities and a three-stage roadmap for its implementation, designed for a period of 18 months, are proposed.
The proposed toolkit provides the methodological basis for the informed selection of digital tools and the prioritisation of marketing resource allocation. The need to adapt digital infrastructure to future consumption models is justified, particularly in view of the indirect influence of Generation Alpha on the formation of family tourism demand. It has been established that the practical effectiveness of the proposed approach requires further empirical testing. Prospects for further research relate to the testing of the developed toolkit, comparing the effectiveness of generational segmentation with alternative approaches, and exploring the potential for using generative artificial intelligence and big data to personalise digital communications in line with individual consumer behaviour.
Biographies of authors:
Iryna KYRYLIUK,
Kherson State Agrarian and Economic University
Candidate of Economic Sciences, Associate Professor
Nataliia BARVINOK,
Uman National University
Doctor of Philosophy
Victoriia KRASNOMOVETS,
Bohdan Khmelnytsky Cherkasy National University
Candidate of Economic Sciences, Associate Professor
References:
Barvinok, N. V., & Kyryliuk, I. M. (2026). The Use of Marketing Tools to Improve the Efficiency of Ukraine’s Tourism Enterprises in the Postwar Period. In N. V. Yakimenko-Tereshchenko, D. V. Raiko, & O. O. Nosyrev (Eds.), Marketing and Organizational Mechanisms for the Postwar Development of Ukraine’s Hospitality and Tourism Industry (рр. 72-97). NTU “KhPI”. https://dspace.ksaeu.kherson.ua/handle/123456789/12250 (in Ukr.).
Barvinok, N. V., Kyryliuk, I. M., & Lytvyn, O. V. (2025). Personalization of Digital Marketing Strategies in the Hospitality Industry with Reference to Generational Theory. Central Ukrainian Scientific Bulletin, 14(47), 143-155. https://doi.org/10.32515/2663-1636.2025.14(47).143-155 (in Ukr.).
Barvinok, N., Kyryliuk, I., Krasnomovets, V., Lytvyn, O., Povorozniuk, I., Podzihun, S., & Neshchadym, L. (2026). Adaptive marketing strategies for managing tourism enterprises within tourism clusters. Management Theory and Studies for Rural Business and Infrastructure Development, 48 (1), 34-43. https://doi.org/10.15544/mts.2026.04
Beresford Research. (2026). Age Range by Generation. (62). https://www.beresfordresearch.com/age-range-by-generation/
Bodnarchuk, T., & Svidér, O. (2024). Consumer Behavior in the E-Commerce Market from the Perspective of Generational Theory. Economy and Society, (62). https://doi.org/10.32782/2524-0072/2024-62-92 (in Ukr.).
Bogdan, N. Yasynska, A., & Shevtsova, A. (2025). Digital Marketing Strategies for Attracting a New Generation of Tourists. The Problems of Economy,(2), 117–125. https://doi.org/10.32983/2222-0712-2025-2-117-125 (in Ukr.).
Ghaly, M. (2023). The influence of user-generated content and social media travel influencers credibility on the visit intention of Generation Z. Journal of Association of Arab Universities for Tourism and Hospitality, 24(2), 367-382. https://doi.org/10.21608/jaauth.2023.218047.1477
iGMS (2024). Airbnb Marketing Strategy: 8 Techniques to Master https://www.igms.com/airbnb-marketing-strategy/
Kirnosova, M. (2025). The Use of Generational Theory in Planning Targeted Advertising in International Marketing. Economy and Society,(78). https://doi.org/10.32782/2524-0072/2025-78-118 (in Ukr.).
Marin-Pantelescu, A., & Ștefan-Hint, M. (2024). The Preferences of Generation Z for the Digitalisation of the Hospitality Industry. Proceedings of the International Conference on Business Excellence, 18(1), Bucharest University of Economic Studies, 2293-2299. https://doi.org/10.2478/picbe-2024-0193
Phocuswright Research. (2025). Generational Spending Patterns Reveal Strategic Insights for Travel Brands. https://www.phocuswright.com/Travel-Research/Research-Updates/2025/generational-spending-patterns-reveal-strategic-insights-for-travel-brands
Sak, T., & Petruk, S. (2024). Generational Theory in Marketing Strategies: Understanding Consumers Through the Lens of Age Groups. Economic journal Odessa polytechnic university, 4(30), 77–84. https://doi.org/10.15276/EJ.04.2024.9 (in Ukr.).
Seyfi, S., Vo-Thanh, T., & Zaman, M. (2024). Hospitality in the age of Gen Z: A critical reflection on evolving customer and workforce expectations. International Journal of Contemporary Hospitality Management, 36(13), 118–134. https://doi.org/10.1108/IJCHM-01-2024-0035
Taylor, M. (2025). New Report Reveals the Highest Spending Generation of Travelers. TravelPulse. https://www.travelpulse.com/news/features/baby-boomers-outspend-all-other-generations-on-travel-phocuswright-reports
Toboso-Gómez, J. D., Mercadé-Melé, P., Almeida-García, F., & Gorji, A. S. (2025). A Systematic Review and Bibliometric Analysis of Studies on Generation Z and the Hotel Industry: Past, Present and Future Agenda. Systems, 13(11), 989. https://doi.org/10.3390/systems13110989
VUP Media. (2025). Marketing for Gen Z vs. Millennials: What’s the Difference? https://vupmedia.com/2025/10/02/marketing-for-gen-z-vs-millennials-whats-the-difference/
Wang, B., & Iahad, N. A. (2025). Gen Z and Social Media: Shaping Tourism and Hospitality Behavior: A Thematic and Bibliometric Review. International Journal of Academic Research in Business and Social Sciences, 15(6), 918–936. https://doi.org/10.6007/IJARBSS/v15-i6/25602
WYSE Travel Confederation. (2025). Are Travel Brands Ready for Gen Alpha? https://www.wysetc.org/2025/05/are-travel-brands-ready-for-gen-alpha/
Yamagishi, K., Canayong, D., Domingo, M., Maneja, KN., Montolo, A., & Siton, A. (2024). User-generated content on Gen Z tourist visit intention: a stimulus-organism-response approach. Journal of Hospitality and Tourism Insights, 7(4), 1949-1973. https://doi.org/10.1108/JHTI-02-2023-0091
Online publication
11/12/2026
Received by the editorial office
06/25/2026
Accepted for publication
10/26/2026
How to cite:
Kyryliuk, I., Barvinok, N., Krasnomovets, V. (2026). Generational segmentation as a tool for optimising digital strategies in the hotel industry. Bulletin of Chernivtsi Institute of Trade and Economics, 2(102), 10-31.
http://doi.org/10.34025/2310-8185-2026-2.102.01
Number
Vol. 2(102) (2026).
Economic sciences
This work is licensed under the
Creative Commons Attribution 4.0 International License.
License Creative Commons Зазначення Авторства 4.0 Міжнародна (CC BY 4.0).

