The evolution and current trends in the development of marketing research

Currently, the issue of the boundaries of combining traditional and modern methods of marketing research is debatable. The answer to this question is impossible without understanding how marketing research has evolved. A significant number of scientific papers are devoted to the review and study of new marketing research tools, but only a few authors focus on the need for a competent combination of traditional and innovative tools. The purpose of this work is to study the history of the development of marketing research, determine their place in the activities of a modern enterprise, identify the most significant trends and predict the results of the integration of classical and innovative methods of marketing research. The research methods include methods of collecting and processing secondary information: the method of traditional (classical) analysis and formalized methods – content analysis, information and target analysis. The basics of the concept of "marketing research" are considered. The author's definition of the term is formulated taking into account its compliance with modern market realities. The evolution of the development of marketing research in the context of decades since the late 1950s to the present is described. The stages of the evolution of marketing research and the development of the marketing concept are compared. The specifics of the formation and development of marketing research in Russia are reflected. The article highlights the issue of the current state of the industry and the legislative aspects of the functioning of foreign research companies in the Russian market. This issue is relevant for the government of the country in relation to the current political and economic situation. The trends of marketing research, which will be actively developed in the coming years, are analyzed. Considerable attention has been paid to the development of research in the online environment, and its prospects and scope have been assessed. The issue of the development of neurotechnologies and neuromarketing research is considered, the possibilities of these techniques are outlined and the emerging limitations are noted. The issue of cognitive safety and the need for the formation of cognitive immunity of society is raised. The dynamics of the development of the synthetic information sector has been studied. In conclusion, the author comes to the conclusion that modern challenges lead to a serious transformation of the market of marketing research, an increase in the level of interdisciplinarity and the need to combine traditional and modern tools in order to achieve maximum effect for business.

1. Kravchenko E.S., Karashchuk O.S. Evaluation of digital customer experience and customer loyalty when buying goods online // Economics and management: problems, solutions. 2023. Vol. 2, No. 3 (135). Pp. 201–211.

2. Kulikova O.M., Tropynina N.E. Transformation of marketing research tools in the digital economy // Innovative economics: prospects for development and improvement. 2020. No. 2 (44). Pp. 129–134.

3. Shchepakin M.B. Hybrid marketing as a tool of the developing digital space // Economics, entrepreneurship and law. 2021. Vol. 11, No. 11. Pp. 2513–2536.

4. Marochkina S.S., Suvorova Yu.V. Trends and new tools in the work of digital marketers // Science of man: humanitarian studies. 2021. Vol. 15, No. 4. Pp. 195–204.

5. Komarnitskaya E.V. Omnichannel marketing: a digital environment // Trade and market. 2022. Vol. 1, No. 4 (64). Pp. 242–246.

6. Kazybayeva A.M., Smykova M.R., Sokhatskaya N.P. Neuromarketing research methods and application possibilities // Central Asian Economic Review. 2021. No. 6 (141). Pp. 102–115.

7. Kalkova N.N., Yarosh O.B. A study of the perception of Crimean wine products as souvenirs: a neuromarketing approach // Geopolitics and ecogeodynamics of the regions. 2022. Vol. 8, No. 2. Pp. 95–106.

8. Kolsanov A.A., Losevskaya E.N., Zorina S.V. The use of eye tracking to analyze consumer preferences in the framework of neuromarketing research // Marketing and marketing research. 2022. No. 1. Pp. 46–54.

9. Shishakova Yu.V. The development of neuromarketing in Russia // Bulletin of the Udmurt University. Series: Economics and Law. 2021. Vol. 31, No. 4. Pp. 621–626.

10. Mitina E.A. Neuroethics: identification of ethical problems in conducting neuromarketing research // Scientific Bulletin: finance, banks, investments. 2022. No. 2 (59). Pp. 144–151.

11. Arestova I.V. The use of Big Data in marketing research // Student Bulletin. 2020. No. 21-4 (119). Pp. 71–73.

12. Shkileva A.V. Prospects of using the big data tool in marketing research of international companies // Theory of law and interstate relations. 2021. Vol. 1, No. 4 (16). Pp. 309–315.

13. Yuldasheva O.U., Pirogov D.E. The formation of the concept of Data Driven marketing // Practical marketing. 2021. No. 11 (297). Pp. 3–9.

14. Mantrova M.S., Melnikova T.F. Big Data technologies in the information world and new marketing opportunities: problems and prospects of development in Russia // Financial Economics. 2020. No. 4. Pp. 406–410.

15. Swathi K. The use of a big data tool in the marketing activities of companies // Innovations. Science. Education. 2022. No. 50. Pp. 482–493.

16. American Marketing Association : [website]. URL: https://ama.org/ (date of access: 15.07.2024).

17. European Society for Opinion and Marketing Research (ESOMAR) : [website]. URL: https://eso-mar.org (date of access: 15.07.2024).

18. Golubkov E.P. Marketing research: theory, methodology and practice. Moscow : Finpress, 2003. 493 p.

19. Malhotra N.K. Marketing research : a practical guide / [translated from English by V.A. Kravsky, O.L. Pelyavsky]. 4th ed. Moscow [et al.] : Williams, 2007. 1186 p.

20. Soloviev B.A., Meshkov A.A., Musatov B.V., Marketing. Moscow : Infra-M, 2013. 335 p.

21. Berezin I.S. Marketing research. Instructions for use. 3rd edition, revised and expanded. Moscow : Yurayt, 2012. 383 p.

22. Anokhin E.V., Anokhin V.A. The evolution of marketing research abroad and in Russia // Bulletin of the Astrakhan State Technical University. Series: Economics. 2015. No. 3. Pp. 33–42.

23. Jagdish N. Sheth. New areas of research in marketing strategy, consumer behavior, and marketing analytics: the future is bright // The Journal of Marketing Theory and Practice. 2021. No. 29 (2). URL: https://www.researchgate.net/publication/348399244 (date of access: 15.07.2024).

24. Fourt L.A., Woodlock J.W. Early prediction of market success for new grocery products // Journal of Marketing. 1960. Vol. 25, No. 2. Pp. 31–38.

25. Parfitt J.H., Collins B.J.K. Use of consumer panels for brand-share prediction // Journal of Marketing Research. 1968. Vol. 5, No. 2. Pp. 131–145.

26. Massy W.F., Frank R.E. Short-term price and dealing effects in selected market segments // Journal of Marketing Research. 1965. Vol. 2, No. 2. Pp. 171–185.

27. Palda K.S. The measurement of cumulative advertising effects // The Journal of Business. 1965. Vol. 38, No. 2. Pp. 162–179.

28. Bass F.M. A new product growth model for consumer durables // Management Science Theory. 1969. Vol. 15, No. 5. Pp. 215–227.

29. Calder B.J. Focus groups and nature of qualitative marketing-research // Journal of Marketing Research. 1977. Vol. 14, No. 3. Pp. 353–364.

30. Kassarjian H.H. Content-analysis in consumer research // Journal of Consumer Research. 1977. Vol. 4, No. 1. Pp. 8–18.

31. Hoffman D.L., Novak T.P. Marketing in hypermedia computer-mediated environments: conceptual foundations // Journal of Marketing. 1996. Vol. 60, No. 3. Pp. 50–68.

32. Peterson R.A., Balasubramanian S., Bronnenberg B.J. Exploring the implications of the internet for consumer marketing // Journal of the Academy of Marketing Science. 1997. Vol. 25, No. 4. Pp. 329–346.

33. Interactive home shopping: consumer, retailer, and manufacturer incentives to participate in electronic marketplaces / J. Alba, J. Lynch, B. Weitz [et al.] // Journal of Marketing. 1997. Vol. 61, No. 3. Pp. 38–53.

34. Cui G., Wong M.L., Lui H.K. Machine learning for direct marketing response models: Bayesian networks with evolutionary programming // Management Science. 2006. Vol. 52, No. 4. Pp. 597–612.

35. Evgeniou T., Pontil M., Toubia O. A convex optimization approach to modeling consumer heterogeneity in conjoint estimation // Marketing Science. 2007. Vol. 26, No. 6. Pp. 805–818.

36. Rust R.T., Lemon K.N., Zeithaml V.A. Return on marketing: using customer equity to focus marketing strategy // Journal of Marketing. 2004. Vol. 68, No. 1. Pp. 109–127.

37. Srinivasan S., Hanssens D.M. Marketing and firm value: metrics, methods, findings, and future directions // Journal of Marketing Research. 2009. Vol. 46, No. 3. Pp. 293–312.

38. Consumer neuroscience: applications, challenges, and possible solutions / H. Plassmann, V. Venkatraman, S. Huettel, C. Yoon // Journal of Marketing Research. 2015. Vol. 52, No. 4. Pp. 427–435.

39. Predicting advertising success beyond traditional measures: new insights from neurophysiological methods and market response modeling / V. Venkatraman, A. Dimoka, P.A. Pavlou [et al.] // Journal of Marketing Research. 2015. Vol. 52, No. 4. Pp. 436–452.

40. Ramsoy T.Z. Building a foundation for neuromarketing and consumer neuroscience research: how researchers can apply academic rigor to the neuroscientific study of advertising effects // Journal of Advertising Research. 2019. Vol. 59, No. 3. Pp. 281–294.

41. Beloborodova A.L., Kalenskaya N.V. A cross-methodological approach to the implementation of the analytical function of marketing // Bulletin of the Plekhanov Russian University of Economics. 2024. Vol. 21, No. 2 (134). Pp. 235–242.

42. Reports & Publications / ESOMAR. URL: https://shop.esomar.org/knowledge-center/library/Global-Market-Research-2022-pub2984 (date of access: 15.07.2024).

43. The Duma proposed to limit foreign consumer market research. URL: https://www.rbc.ru/poli-tics/31/07/2023/64c7ad0c9a794701d4e2de1a (date of access: 15.07.2024).

44. Zadorozhny S. The Russian market will be closed to "Foreign" research agencies. URL: https://ecom-hub.ru/the-russian-market-will-be-closed-to-foreign-research-agencies/ (date of access: 15.07.2024).

45. Marketing research and situational analysis : textbook and practicum / [I.I. Skorobogatykh, O.O. Grineva, D.M. Efimova et al.] ; under the general editorship of I.I. Skorobogatykh, D.M. Efimova. Moscow : KNORUS, 2019. 570 p.

46. Alexandrova I.Y. Methodology of marketing research of Internet users // E-Management. 2019. Vol. 2, No. 1. Pp. 7–18.

47. Social media marketing. Online Marketing Communications : textbook / [V.P. Tikhomirov, N.V. Tikhomirova, L.A. Danchenok et al.] ; edited by L.A. Danchenok. St. Petersburg : Peter, 2013. 288 p.

48. Development of e-commerce in Russia: the impact of the COVID-19 pandemic / V.A. Rebyazina, E.R. Sharko, S.M. Berezka, A.G. Starkov. Moscow : National Research University "Higher School of Economics", 2021. 72 p.

49. Skorobogatykh I.I., Musatova Zh.B. Trends in the behavior of digital consumers in Russia and in the world // Digital transformation of the economy: issues of theory and practice : proceedings of the All-Russian scientific and practical conference with international participation, Khabarovsk, November 24–26, 2021. Khabarovsk : Far Eastern State University of Railway Transport, 2021. Pp. 165–173.

50. Synthetic Data – Get on Board but do it wisely! / С. Beale, S. Chadwick, F. Raben, M. Stevens. URL: https://researchworld.com/innovations/synthetic-data-get-on-board-but-do-it-wisely (date of access: 15.07.2024).

51. Kazan Digital Week International Forum : [official website]. URL: https://www.kazandigitalweek.com/ru/site/ (date of access: 15.07.2024).