Target audience segmentation and adaptation of communication channels in the IT industry
DOI:
https://doi.org/10.26906/EiR.2026.2(101).4636Keywords:
market segmentation, target audience, audience segmentation, marketing communications, IT companies, B2B marketing, digital marketing, artificial intelligenceAbstract
The article examines the theoretical and practical foundations of target audience segmentation and communication channel adaptation in accordance with the specific features of the IT industry. It is substantiated that traditional segmentation approaches based mainly on demographic and geographic criteria are insufficient for the high-tech B2B environment, where purchasing decisions are made collectively and sales cycles are complex and lengthy. Modern scientific approaches to behavioral, omnichannel, and AI-driven customer segmentation are analyzed. A multi-criteria segmentation model for IT companies is proposed, incorporating firmographic, technographic, behavioral factors, and decision-making structures. Five key target audience segments for IT companies are identified: technical specialists, business executives, end users, IT partners and integrators, as well as IT communities and thought leaders. Priority communication channels and relevant content formats are determined for each segment. A step-by-step approach to building an integrated communication strategy is developed, including data collection, dynamic segmentation, content personalization, omnichannel implementation, and continuous performance optimization. It is proven that the use of artificial intelligence, CRM systems, marketing automation, and big data analytics creates broad opportunities to improve marketing communication efficiency, enhance customer engagement, and increase customer lifetime value. The practical significance of the study lies in the possibility of applying the proposed model by Ukrainian and international IT companies to strengthen their competitive positions, improve market responsiveness, achieve sustainable growth, and expand strategic opportunities in the global market. The research findings contribute to the development of specialized marketing frameworks tailored to the unique structural characteristics of the IT industry. The proposed recommendations provide actionable guidance for aligning segmentation strategies with channel selection and content development in B2B technology markets, thereby bridging the gap between academic theory and industry practice.
References
Kasem M.S., Hamada M., Taj-Eddin I. Customer Profiling, Segmentation, and Sales Prediction Using AI in Direct Marketing. Preprint submitted to Elsevier. 2023. 26 p.
Van Nguyen A.T., McClelland R., Tuan N.H. Omnichannel Customer Segmentation: A Personalized Customer Journey Perspective. Journal of Consumer Behaviour. 2024. № 23. P. 3253–3275.
Raes M., Han W.-J., Papangelis K. UX Challenges in Deploying an Interactive B2B Customer Segmentation Tool. Manuscript submitted to ACM. 2025. 12 p.
Kamyabi M., Özgit H., Ahmed J.N. Sustaining Digital Marketing Strategies to Enhance Customer Engagement and Brand Promotion: Position as a Moderator. Sustainability. 2025. № 17. Article 3270.
Yiğit M.S. The Impact of Big Data-Based Customer Segmentation on Programmatic Buying Performance: The Role of Chatbot-Based Interactions. Open Journal of Applied Sciences. 2025. Vol. 15. № 7. P. 2216–2227.
Bashir T., Zhongfu T., Sadiq B., Nasim A. How AI Competencies Can Make B2B Marketing Smarter: Strategies for Enhancing Customer Lifetime Value. Frontiers in Artificial Intelligence. 2024. Vol. 7. Article 1451228.
Alves Gomes M., Meisen T. A Review of Customer Segmentation Methods for Personalized Customer Targeting in E-Commerce Use Cases. Information Systems and e-Business Management. 2023. № 21. P. 527–570.
Wang G. Customer Segmentation in Digital Marketing Using a Q-Learning-Based Differential Evolution Algorithm Integrated with K-Means Clustering. PLoS ONE. 2025. Vol. 20. № 2. Article e0318519.
Homburg C., Tischer M. Customer Journey Management Capability in Business Markets: Its Bright and Dark Sides. Journal of the Academy of Marketing Science. 2023. № 51. P. 1046–1074.
Zare Z., Sifat A.I., Karatas M. A Review of Data Analytics and Machine Learning for Personalization in Technology Sector Marketing. Journal of Soft Computing and Decision Analytics. 2025. Vol. 3. № 1. P. 92–111.
Петрова І., Дячук І., Зайцев С. Корпоративна активність у соціальних мережах як чинник формування довіри споживачів на ринку послуг B2B. Наукові записки університету КРОК. 2025. Вип. 3(79). С. 215–222.
Dutt A., Kasilingam D., Angell R., Singh J. The Future of Marketing and Communications in a Digital Era: Data, Analytics and Narratives. Journal of Strategic Marketing. 2024. Vol. 32. № 8. P. 1435–1443.
Карпенко В., Шиш А. Цифрові технології та штучний інтелект у сучасному маркетингу в Україні: вплив, виклики. 2024. DOI: https://doi.org/10.5281/zenodo.13610743
Tavor T., Gonen L.D., Spiegel U. Customer Segmentation as a Revenue Source for Profit. Mathematics. 2023. № 11. Article 4425.
Ahmed S., Sur S., Chakraborty M., Das A., Ghosh G., Mondal A. Harmonizing Messages, Engaging Audiences: Exploring Effective Strategies and Outcomes of Integrated Marketing Communication in the Digital Age. International Journal of Research in Marketing Management and Sales. 2024. Vol. 6. № 1. P. 142–147.
B2B Customer Segmentation: Methods, Examples, and How-To Guide. Twilio: веб-сайт. URL: https://www.twilio.com/en-us/blog/b2b-customer-segmentation
Kasem M.S., Hamada M., Taj-Eddin I. (2023). Customer profiling, segmentation, and sales prediction using AI in direct marketing. Manuscript submitted for publication. DOI: https://doi.org/10.1007/s00521-023-09339-6
Van Nguyen A.T., McClelland R., Tuan N.H. (2024). Omnichannel customer segmentation: A personalized customer journey perspective. Journal of Consumer Behaviour, no. 23, pp. 3253–3275. DOI: https://doi.org/10.1002/cb.2401
Raes M., Han W.-J., Papangelis K. (2025). UX challenges in deploying an interactive B2B customer segmentation tool. Manuscript submitted for publication. DOI: https://doi.org/10.1145/3706599.3706687
Kamyabi M., Özgit H., Ahmed J.N. (2025). Sustaining digital marketing strategies to enhance customer engagement and brand promotion: Position as a moderator. Sustainability, no. 17, Article 3270. DOI: https://doi.org/10.3390/su17073270
Yiğit M.S. (2025). The impact of big data-based customer segmentation on programmatic buying performance: The role of chatbot-based interactions. Open Journal of Applied Sciences, vol. 15, no. 7, pp. 2216–2227. DOI: https://doi.org/10.4236/ojapps.2025.157146
Bashir T., Zhongfu T., Sadiq B., Nasim A. (2024). How AI competencies can make B2B marketing smarter: Strategies for enhancing customer lifetime value. Frontiers in Artificial Intelligence, vol. 7, Article 1451228. DOI: https://doi.org/10.3389/frai.2024.1451228
Alves Gomes M., Meisen T. (2023). A review of customer segmentation methods for personalized customer targeting in e-commerce use cases. Information Systems and e-Business Management, no. 21, pp. 527–570. DOI: https://doi.org/10.1007/s10257-023-00640-4
Wang G. (2025). Customer segmentation in digital marketing using a Q-learning-based differential evolution algorithm integrated with K-means clustering. PLoS ONE, vol. 20, no. 2, Article e0318519. DOI: https://doi.org/10.1371/journal.pone.0318519
Homburg C., Tischer M. (2023). Customer journey management capability in business markets: Its bright and dark sides. Journal of the Academy of Marketing Science, no. 51, pp. 1046–1074. DOI: https://doi.org/10.1007/s11747-023-00923-9
Zare Z., Sifat A.I., Karatas M. (2025). A review of data analytics and machine learning for personalization in technology sector marketing. Journal of Soft Computing and Decision Analytics, vol. 3, no. 1, pp. 92–111. DOI: https://doi.org/10.31181/jscda31202562
Petrova I., Diachuk I., Zaitsev S. (2025). Korporatyvna aktyvnist u sotsialnykh merezhakh yak chynnyk formuvannia doviry spozhyvachiv na rynku posluh B2B [Corporate activity on social networks as a factor of consumer trust formation in the B2B service market]. Naukovi Zapysky Universytetu KROK, is. 3(79), pp. 215–222.
Dutt A., Kasilingam D., Angell R., Singh J. (2024). The future of marketing and communications in a digital era: Data, analytics and narratives. Journal of Strategic Marketing, vol. 32, no. 8, pp. 1435–1443. DOI: https://doi.org/10.1080/0965254X.2024.2386002
Karpenko V., Shysh A. (2024). Tsyfrovi tekhnolohii ta shtuchnyi intelekt u suchasnomu marketynhu v Ukraini: Vplyv, vyklyky [Digital technologies and artificial intelligence in modern marketing in Ukraine: Impact, challenges]. DOI: https://doi.org/10.5281/zenodo.13610743
Tavor T., Gonen L.D., Spiegel U. (2023). Customer segmentation as a revenue source for profit. Mathematics, no. 11, Article 4425. DOI: https://doi.org/10.3390/math11214425
Ahmed S., Sur S., Chakraborty M., Das A., Ghosh G., Mondal A. (2024). Harmonizing messages, engaging audiences: Exploring effective strategies and outcomes of integrated marketing communication in the digital age. International Journal of Research in Marketing Management and Sales, vol. 6, no. 1, pp. 142–147. DOI: https://doi.org/10.33545/26633329.2024.v6.i1b.164
Twilio. (n.d.). B2B customer segmentation: Methods, examples, and how-to guide. Available at: https://www.twilio.com/en-us/blog/b2b-customer-segmentation
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