Preview

Economics and Management

Advanced search

Target audience management using artificial intelligence tools

https://doi.org/10.35854/1998-1627-2025-2-196-204

Abstract

Aim. The work aimed to consider modern procedures for target audience management based on the use of artificial intelligence (hereinafter referred to as AI) tools in the online media space, and to propose recommendations for the use of such tools in target audience management.
Objectives. The work seeks to study the specifics of modern processes and methods of target audience management; to compile a practical and methodological review and present a description of the AI-based tools and services for managing the target audience.
Methods. The methodological and theoretical basis was the use of a systems approach to the analysis of the study subject, conceptual approaches set out in the works of Russian and international scientists in the context of the use of AI in target audience management. The  work employed analysis and integration to reveal the essence of the modern process of target audience management, present a methodological review of tools and services for managing the target audience based on AI, and identify the advantages and difficulties of using AI in the procedures for managing it.
Results. The author provides a description of the procedure for managing the target audience based on the targeting method, conducts an overview of the tools for managing it in the online media space based on the information and communication and digital analytical technologies. The advantages and difficulties of introducing AI into the target audience management are revealed, and recommendations for using AI to optimize these processes are formulated.
Conclusions. Theoretical and practical issues on the specifics of the modern process of managing the target audience in the online media space are studied. As a result, the advantages and difficulties of using AI in target audience management procedures, as well as the conditions and key results of implementing AI tools and services in the field under consideration are determined, and recommendations for their use are proposed. 

About the Author

I. A. Yumasheva
North-Western Institute of Management — branch of the Russian Academy of National Economy and Public Administration under the President of the Russian Federation
Russian Federation

Irina A. Yumasheva, PhD in Pedagogy, Associate Professor, Associate Professor at the Department of Journalism and Media Communications
57/43 Sredniy Ave. V.I., St. Petersburg 199178, Russia


Competing Interests:

The author declares no conflict of interest related to the publication of this article.



References

1. Ashmanov I. Optimization and promotion in search engines. St. Petersburg: Piter; 2019. 512 p. (In Russ.).

2. Artificial intelligence in marketing: Examples, limitations, problems and Click.ru opinion. Habr. Sep. 09, 2021. URL: https://habr.com/ru/companies/click/articles/577036/ (accessed on 05.05.2024). (In Russ.).

3. Gornshtein M.Yu. Modern marketing. 4th ed. Moscow: Dashkov & Co.; 2022. 404 p. (In Russ.).

4. Vasyunova A.A., Kukshinova E.D., Gracheva D.P. Artificial intelligence in marketing and advertising: Domestic experience. In: Kozhemyakin E.A., Polonskii A.V., Kryukova S.V., Beloedova A.V., eds. Journalism, mass communications and media: The view of young researchers. Proc. All-Russ. (with int. particip.) sci.-pract. conf. of young researchers, postgraduates and students (Belgorod, April 12-14, 2023). Belgorod: Kosmos; 2023:386-392. (In Russ.).

5. Gokhberg L.M., ed. Artificial intelligence in Russia: Technologies and markets. Moscow: Institute of Statistical Research and Economics of NRU HSE; 2025. 148 p. (In Russ.).

6. Salagubova E.D., Girsh L.V., Solovieva D.V. Managing the promotion of complex goods and products based on the concept of launch marketing. Nauchnyi zhurnal NIU ITMO. Seriya: Ekonomika i ekologicheskii menedzhment = Scientific Journal NRU ITMO. Series: Economics and Environmental Management. 2023;(3):50-59. (In Russ.). DOI: 10.17586/2310-1172-2023-16-3-50-59

7. Khachaturyan K.S., Ponomareva S.V., Koriushov N.V. Artificial intelligence in marketing as a new concept and business opportunity to improve the efficiency of companies. Vestnik evraziiskoi nauki = The Eurasian Scientific Journal. 2023;15(3):50. URL: https://esj.today/PDF/55ECVN323.pdf (accessed on 30.04.2024). (In Russ.).

8. Sheverdin A.A. Automation of marketing processes using artificial intelligence: Advantages and challenges. Vestnik nauki. 2024;3(1):139-149. (In Russ.). DOI 10.24412/2712-8849-2024-170-139-150

9. Molchanova R.V. Application of machine learning in Internet marketing. Mezhdunarodnyi nauchno-issledovatel’skii zhurnal = International Research Journal. 2024;(4):22. (In Russ.). DOI: 10.23670/IRJ.2024.142.113

10. Mitchell T.M. Machine learning. New York, NY: McGraw-Hill Education; 1997. 432 p.


Review

For citations:


Yumasheva I.A. Target audience management using artificial intelligence tools. Economics and Management. 2025;31(2):196-204. (In Russ.) https://doi.org/10.35854/1998-1627-2025-2-196-204

Views: 85


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 1998-1627 (Print)