Marketing communications in e-commerce
DOI:
https://doi.org/10.31617/3.2023(128)05Keywords:
marketing communications, e commerce, Internet advertising, artificial intelligence, social networks, models of marketing communications.Abstract
Now the virtual network forms a growing group of potential consumers in almost all sales markets. The marketing activity of consumer market subjects is moving to the Internet, which is evidenced by the growth of advertising costs of this communication channel, therefore there is an urgent need for a detailed study of e-commerce marketing communication models and the use of artificial intelligence in marketing activities. Therefore, the aim of the article is the identification of marketing e-communications models and the determination of popular marketing models of e-communications in Ukraine. To achieve it, scientific methods were used: theoretical generalization and grouping; formalization and synthesis; principles of scientific content analysis. In particular, the state of the Internet advertising market in the world from 2012 to 2022 and the trends of the digital advertising market in Ukraine from 2020 to 2023 (including forecast data) were studied. Data on changes in the use of Internet traffic after Russia’s military invasion of Ukraine are given. The structure of the marketing e‑communications model is considered. The circular journey of the e-user is proposed, the types of models of offline and online marketing communications are structured. An analysis of the original texts of posts and transcribed by artificial intelligence on Facebook and Instagram was carried out using A/B testing. Thanks to this, it was established that the volume of the Ukrainian online advertising market is insignificant compared to the European one. However, today interactive technologies are already being used in Ukraine, the range of services of advertising agencies using artificial intelligence is expanding, which enables the Ukrainian advertising market to significantly increase the effectiveness of reaching the target audience and reduce its cost.
References
Melnyk, Yu., & Klasyfikatsiia, M. (2016). Classification of the main forms and types of marketing Internet communications. Marketing and innovation mana-gement, 4, 43-55 [in Ukrainian].
Kotler, F. (2022). Basics of marketing. Scientific world [in Ukrainian].
Kotler, F., & Keller, K. (2008). Marketing management. «Khimgest» publishing house [in Ukrainian].
Oklander, M., & Lytovchenko, I. (2008). Complex of internet communications in marketing. Marketing in Ukraine, 3, 29-35 [in Ukrainian].
Melnyk, O., Melnyk, Yu., Saher, L., & Illiashenko, N. (2016). Classification of the main forms and types of marketing Internet communications. Marketing and innovation management, 4, 43-55 [in Ukrainian].
Us, M. (2018). Internet marketing as a tool of marketing communications and a component of the enterprise's commercial activity. Economics and enterprise management, 15, 482-488 [in Ukrainian].
Romanenko, L. (2019). Digital marketing: essence and development trends. Scientific notes of the Lviv University of Business and Law, (Vol. 23), (pp. 80-84) [in Ukrainian].
Borysenko, O. S., Fisun, Yu. V., & Tkachenko, A. Ya. (2020). Toolkit of marketing communications in the Internet environment: classification and specifics of use. Efficient economy. Prychornomorskyi naukovo-doslidnyi instytut ekonomiky ta innovatsii. Odesa, (Issue 50), (pp. 85-91) [in Ukrainian].
Popova, N. V. (2020). Marketing commu-nications. Kharkiv: «Fact» [in Ukrainian].
Bereziuk, V. (2021). Toolkit of marketing commu-nications in the Internet environment: classification and specifics of use. Efficient economy, 4. https://doi.org/10.32702/2307-2105-2021.4.202. [in Ukrainian].
Surkov, A. (2005). Integrated marketing commu-nications and the role of Internet resources in brand promotion. Internet marketing, 1, 13-18 [in Ukrainian].
Digital channels will overtake tradition mediums by 2021. (2018). eMarketer Releases New Global Media Ad Spending Estimates. https://www.insiderintelligence.com/content/emarketer-total-media-ad-spending-worldwide-will-rise-7-4-in-2018 [in English].
With Rising Internet Penetration, The Internet Advertising Market Size Is Expected To Grow At A 19% Annual Rate As Per The Business Research Company's Internet Advertising Global Market Report 2022. TBRC Business Research PVT LTD. https://www.globenewswire.com/en/news-release/2022/12/15/2574872/0/en/With-Rising-Internet-Penetration-The-Internet-Advertising-Market-Size-Is-Expected-To-Grow-At-A-19-Annual-Rate-As-Per-The-Business-Research-Company-s-Internet-Advertising-Global-Mar.html [in English].
The volume of the advertising and communication market of Ukraine in 2022. All-Ukrainian advertising coalition. https://vrk.org.ua/news-events/2022/ad-volume-2022.html. [in Ukrainian].
Study of the volume of online media advertising in Ukraine. Internet Association of Ukraine (InAU). http://adcom.inau.ua. [in Ukrainian].
Gamova, I. V. (2019). Internet advertising communications in Ukraine. Regional economy and management, 1 (23), 35-42 [in Ukrainian].
Digital market of Ukraine. Newage research 2022. https://newage.agency/uk/blog-uk/doslidzhennya-newage-2022-digital-rinok-ukraini [in Ukrainian].
Volosov, D. (2022). Ukrainian business gets record online sales despite war. People.Digital. (2022). https://www.epravda.com.ua/columns/2022/09/19/691622. [in Ukrainian].
Petroc, T. Global consumer internet traffic by application category from 2016 to 2022. Statista. https://www.statista.com/statistics/454951/mobile-data-traffic-worldwide-by-application-category. [in English].
Varga, D. (2022). Értékesítési tölcsér: felépítése, optimalizálása és példák. Modern Marketin. https://daniellavarga.hu/ertekesitesi-tolcser [in English].
Pratiwi, N. E., Latuny, J., & Kaitelapatay, B. G. (2023). Social media optimization as an advertising tool for business development. Jurnal Manti, 6 (4), 3846-3853 [in English].
Gamova, I. V. (2022). Models of marketing commu-nications in social networks. Scientific perspectives, 6 (24), 263-272 [in Ukrainian].
Beginner’s Guide to Conversion Optimization. QuickSprout. URL: https://www.quicksprout.com/beginners-guide-conversion-optimization. [in English].
An online resource for working with text based on AI Smodin. https://smodin.io. [in Ukrainian].
Online store profile on Instagram. https://www. instagram.com/p/CpxsoRftuyD [in Ukrainian].
A/B testing. Unbouce. https://unbounce.com [in Ukrainian].
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