УКР
ENG
Search


Personalizing the Marketing with Artificial Intelligence (AI)
Rozhko V. I., Pletnova Y. S.

Rozhko, Viktor I., and Pletnova, Yelyzaveta S. (2024) “Personalizing the Marketing with Artificial Intelligence (AI).” The Problems of Economy 4:208–213.
https://doi.org/10.32983/2222-0712-2024-4-208-213

Section: Economics and Enterprise Management

Article is written in Ukrainian
Downloads/views: 12

Download article in pdf format -

UDC 330

Abstract:
The article discusses topical issues of the use of Artificial Intelligence (AI) in marketing and its impact on the efficiency of modern marketing strategies. In the conditions of high competition in the market of products and services, special attention is paid to the introduction of innovative approaches that contribute to improving the quality of product promotion. In particular, AI is becoming an increasingly perspective tool for automating processes, saving time, and performing routine operations. There is an emphasis on various aspects of the use of AI, such as behavioral targeting, dynamic content, e-marketing, customer service with chat-bots, and increasing sales through personalized interactions. The study provides an overview of recent scientific papers that examine the impact of AI on marketing communications and consumer interaction. One of the key benefits of AI is its ability to personalize marketing campaigns. By analyzing large amounts of data and consumer behavioral patterns, AI can accurately predict each user’s interests and needs. In addition, AI allows you to automate many processes, which reduces the burden on marketing teams and helps reduce the risk of human error and provide a faster response to changes in consumer behavior. However, the use of AI in marketing also has a number of challenges and drawbacks. One of the biggest risks is the issue of data privacy. For personalization and targeting, it is necessary to collect a large amount of information about consumers, which can raise concerns about violating their privacy. Another major challenge is the technical limitations of AI. While AI algorithms are capable of analyzing vast amounts of data, they cannot always properly adapt to a changing market environment or predict consumer behavior in non-standard situations. Furthermore, AI algorithms can reproduce biases that exist in the data they are trained on. This can lead to discrimination against certain groups of consumers or incorrect targeting. The article analyzes the top ten AI tools that will drive the success of personalized marketing strategies in 2024. These tools include Undetectable.ai, Grammarly, ChatGPT-4, Copy.ai, SurferSEO, Trellis, Crayon, Manychat, ChatFuel, and LivePerson.

Keywords: Artificial Intelligence, automation, digital marketing, Artificial Intelligence tools, advantages, disadvantages.

Bibl.: 13.

Rozhko Viktor I. – Candidate of Sciences (Economics), Associate Professor, Associate Professor, Department of Marketing, Management and Entrepreneurship, V. N. Karazin Kharkiv National University (4 Svobody Square, Kharkіv, 61022, Ukraine)
Email: viktor.rozhko@karazin.ua
Pletnova Yelyzaveta S. – Student, V. N. Karazin Kharkiv National University (4 Svobody Square, Kharkіv, 61022, Ukraine)
Email: yelyzaveta.pletnova@student.karazin.ua

List of references in article

Fedotova, I. V., and Honcharov, V. F. “Marketynhovi innovatsii ta vykorystannia shtuchnoho intelektu“ [Marketing Innovations and the Use of Artificial Intelligence]. Natsionalnyi universytet «Kyievo-Mohylianska akademiia», vol. 1 (2023): 300-302.
Petukhova, O. M., and Berher, A. D. “Vplyv shtuchnoho intelektu na marketynhovu diialnist pidpryiemstv miasnoi promyslovosti“ [The Impact of Artificial Intelligence on the Marketing Activities of Meat Industry Enterprises]. Kyivskyi ekonomichnyi naukovyi zhurnal, no. 3 (2023): 129-134.
Kuzomko, V. M., and Repnikova, I. P. “Vykorystannia shtuchnoho intelektu u tsyfrovomu marketynhu“ [Using Artificial Intelligence in Digital Marketing]. Infrastruktura rynku. Ekonomika ta upravlinnia pidpryiemstvamy, no. 13 (2017): 112-118.
Heisen, R. “ShI-optymizovana personalizatsiia v marketynhovykh komunikatsiiakh: alhorytmy ta efektyvnist“ [AI-optimized Personalization in Marketing Communications: Algorithms and Effectiveness]. Zhurnal tsyfrovoho marketynhu, vol. 12, no. 3 (2020): 45-58.
Leonard, P. “Pidvyshchennia vzaiemodii z kliientamy za dopomohoiu ShI: pryklad personalizatsii kontentu“ [Increasing Customer Engagement with AI: An Example of Content Personalization]. Mizhnarodnyi zhurnal marketynhovykh stratehii, vol. 8, no. 2 (2019): 112-125.
Heins, H. “Avtomatyzatsiia ta personalizatsiia marketynhu za dopomohoiu ShI“ [Marketing Automation and Personalization with AI]. Insaity marketynhovykh tekhnolohii, vol. 14, no. 4 (2020): 67-82.
Nhuien, K. “Velyki dani ta ShI u personalizatsii kliientskykh shliakhiv“ [Big Data and AI in Personalizing Customer Journeys]. Zhurnal prykladnoi nauky danykh u marketynhu, vol. 9, no. 5 (2021): 58-74.
Karama, A. “Alhorytmy ShI v elektronnii komertsii: optymizatsiia personalizatsii spozhyvachiv“ [AI Algorithms in E-commerce: Optimizing Consumer Personalization]. Ohliad elektronnoi komertsii ta tsyfrovoho marketynhu, vol. 5, no. 3 (2020): 77-89.
Rozhko, V. I. “Obmezhenist instrumentiv tradytsiinoho marketynhu“ [Limitation of Traditional Marketing Tools]. Efektyvne upravlinnia ekonomikoiu na svitovomu, derzhavnomu ta rehionalnomu rivniakh. 2024. http://catalog.liha-pres.eu/index.php/liha-pres/catalog/view/271/8221/18471-1
Haliapa, V. “Tsyfrovyi marketynh u epokhu shtuchnoho intelektu: suchasne i maibutnie instrumentiv shtuchnoho intelektu ta yikh vplyv na marketynhovi stratehii biznesiv“ [Digital Marketing in the Era of Artificial Intelligence: The Present and Future of Artificial Intelligence Tools and Their Impact on Business Marketing Strategies]. Development Service Industry Management, no. 3 (2024): 46-51.
“Personalizatsiia ta shtuchnyi intelekt u prodazhakh ta marketynhu“ [Personalization and Artificial Intelligence in Sales and Marketing]. Brainberry. 2024. https://brainberry.ua/uk/newsroom/blog/personalization-and-ai-in-sales-and-marketing
“Shtuchnyi intelekt u marketynhu: perevahy ta ryzyky vykorystannia heneratyvnykh modelei dlia stvorennia kontentu ta polipshennia vzaiemodii z kliientamy“ [Artificial Intelligence in Marketing: Benefits and Risks of Using Generative Models to Create Content and Improve Customer Interaction]. Cases Media. 2020. https://cases.media/en/article/shtuchnii-intelekt-u-marketingu-perevagi-ta-riziki-vikoristannya-generativnikh-modelei-dlya-stvorennya-kontentu-ta-polipshennya-vzayemodiyi-z-kliyentami
Perri, K. “Top-10 marketynhovykh instrumentiv shtuchnoho intelektu dlia rozumnykh marketolohiv u 2024 rotsi“ [Top 10 AI Marketing Tools for Smart Marketers in 2024]. Undetectable AI. 2024. https://undetectable.ai/blog/uk/%D1%96%D0%BD%D1%81%D1%82%D1%80%D1%83%D0%BC%D0%B5%D0%BD%D1%82%D0%B8-ai-%D0%BC%D0%B0%D1%80%D0%BA%D0%B5%D1%82%D0%B8%D0%BD%D0%B3%D1%83/

  The Promblems of Economy, 2009-2025 The site and its metadata are licensed under CC-BY-SA. Write to webmaster