Designing the Consumer Experience: CJM Testing Using Neuromarketing Technologies

Authors

  • Anna O. Kleshchunova Gazprom Polyana LLC
  • Svetlana N. Pryadko Belgorod State National Research University
  • Margarita N. Kovalenko Skin and Venereal Diseases Dispensary; Belgorod State National Research University

DOI:

https://doi.org/10.52575/2687-0932-2026-53-1-45-64

Keywords:

customer experience, customer journey map, CJM, neuromarketing technologies, eye-tracking

Abstract

This article presents the results of a practical case study integrating high-precision biometric measurements (eye-tracking, pupillometry) into the classic customer experience design process through the creation of a customer journey map (CJM). The study demonstrates the transition from descriptive modeling of the customer journey to objective, measurable, and controllable prototyping based on data on subconscious attention and emotional responses of customers. The aim of the study is to test and verify a customer journey map for branded products using neuromarketing technologies to identify hidden barriers and growth points in offline retail. The study tests three key hypotheses regarding the effectiveness of navigation tools, outdoor advertising, and product display in attracting and retaining consumer visual attention. The research methodology presented in the article is the authors' own and includes three sequential steps: 1) theoretical and methodological substantiation based on a content analysis of scientific literature in the international Google Scholar database; 2) a field neuromarketing experiment using the Tobii PRO Glasses 3 eye-tracking system to collect objective biometric data (gaze, saccades, pupil diameter) in a natural offline retail setting; 3) data processing and analysis in the Tobii PRO LAB software environment, followed by interpretation of the results, hypothesis testing, and the development of practical recommendations. This approach ensured validity, reproducibility, and a clear connection between the measured neurometrics and business insights. The study confirmed the effectiveness of neuromarketing as a CJM audit tool. The experiment not only confirmed
(or refuted) the hypotheses but also identified underlying issues not readily apparent in traditional surveys: segmental differences in cognitive information processing between age groups (20-30 and 31-40 years old), the presence of extensive blind spots in product displays, and a critical systemic failure – a misalignment of advertising messages and advertised merchandise. The theoretical significance of the study lies in the development of a methodology for designing consumer experiences by integrating a neuroscientific approach, which deepens the "customer activity" paradigm. Its practical significance lies in the development of specific recommendations for businesses: from simplifying the navigation bar interface and rebranding outdoor advertising to the need for planogram redesign and streamlining advertising and merchandise coordination processes in retail. The obtained results and the proven methodology can be applied in offline retail to audit and optimize consumer journeys, increase conversion rates, and improve loyalty.

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Author Biographies

Anna O. Kleshchunova, Gazprom Polyana LLC

Chief Sales Specialist, Sochi, Russia
E-mail: anna.gradzion@yandex.ru

Svetlana N. Pryadko, Belgorod State National Research University

Candidate of Economic Sciences, Associate Professor, Associate Professor of the Department of Management and Marketing, Belgorod, Russia
E-mail: pryadko_s@bsuedu.ru

Margarita N. Kovalenko, Skin and Venereal Diseases Dispensary; Belgorod State National Research University

Deputy Chief Physician; Senior Lecturer of the Department of Propaedeutics of Internal Diseases and Clinical Information Technologies, Belgorod, Russia
E-mail: kovalenko_mn@bsuedu.ru

References

Список литературы

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Bellos I., Kavadias S. 2020. Service design for a holistic customer experience: A process framework. Management Science, 67, 3: 718–736. DOI: 10.1287/mnsc.2020.3609

Buhalis D., Lin M. S., Leung D. 2023. Metaverse as a driver for customer experience and value co-creation: implications for hospitality and tourism management and marketing. International Journal of Contemporary Hospitality Management, 35, 2: 701–716. DOI: 10.1108/IJCHM-05-2022-0631

Cardozo R.N. 1965. An experimental study of customer effort, expectation, and satisfaction. Journal of marketing research, 2, 3: 244–249. DOI: 10.2307/3150182

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, 1: 83–90. DOI: 10.1093/BIOMET/58.1.83

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Lemon K.N., Verhoef P.C. 2016. Understanding customer experience throughout the customer journey. Journal of marketing, 80, 6: 69–96. https://doi.org/10.1509/JM.15.0420

Müller V., Park V., Park Z. 2019. Systematic evaluation of customer experience optimization in multi-channel banking service delivery. URL: academia.edu/145046001/Systematic_evaluation_of_customer_experience_optimization_in_multi_channel_banking_service_delivery.

Novak T.P., Hoffman D.L., Yung Y.F. 2000. Measuring the customer experience in online environments:

A structural modeling approach. Marketing science, 19, 1: 22–42. DOI: 10.1287/mksc.19.1.22.15184

Unal U., Bağcı R.B., Taşçıoğlu M. 2025. Multidimensional customer experience in the sustainability context. Management Decision. DOI:10.1108/MD-12-2023-2316

Verhoef P.C. et al. 2009. Customer experience creation: Determinants, dynamics and management strategies. Journal of retailing, 85, 1: 31–41. DOI: 10.1016/j.jretai.2008.11.001

Von Hippel E. 1982. Successful Industrial Products from Customer Ideas: Presentation of a new cus Churchill Jr G. A., Surprenant C. An investigation into the determinants of customer satisfaction. Journal of marketing research, 19, 4: 491–504. doi:10.1016/0048-7333(82)90037-3.

Iloka B.C., Anukwe G.I. 2020. Review of eye-tracking: A neuromarketing technique. Neuroscience Research Notes, 3, 4: 29–34. DOI: 10.31117/neuroscirn.v3i4.61

Gheorghe C.M., Purcărea V.L., Gheorghe I.R. 2023. Using eye-tracking technology in Neuromarketing. Romanian journal of ophthalmology, 67, 1: 2. DOI: 10.22336/rjo.2023.2

References

Pryadko S.N. 2025. Formirovanie hipotezi neiromarketingovogo issledovaniy: keys razrabotki i realizaciy [Formation of a hypothesis for neuromarketing research: a case study of development and implementation]. Marketing and marketing research, 30, 4: 589–612. DOI 10.18334/marketing.30.4.124466. EDN MZPMKM.

Applebaum W. 1951. Studying customer behavior in retail stores. Journal of marketing, 16, 2: 172–178. DOI: 10.1177/002224295101600204

Bellos I., Kavadias S. 2019. When should customers control service delivery? Implications for service design. Production and Operations Management, 28, 4: 890–907. DOI: 10.1111/poms.12956

Bellos I., Kavadias S. 2020. Service design for a holistic customer experience: A process framework. Management Science, 67, 3: 718–736. DOI: 10.1287/mnsc.2020.3609

Buhalis D., Lin M.S., Leung D. 2023. Metaverse as a driver for customer experience and value co-creation: implications for hospitality and tourism management and marketing. International Journal of Contemporary Hospitality Management, 35, 2: 701–716. DOI: 10.1108/IJCHM-05-2022-0631

Cardozo R.N. 1965. An experimental study of customer effort, expectation, and satisfaction. Journal of marketing research, 2, 3: 244–249. DOI: 10.2307/3150182

Chase R.B. 1981. The customer contact approach to services: theoretical bases and practical extensions. Operations research, 29, 4: 698–706. https://doi.org/10.1287/opre.29.4.698

Chase R.B. 2010. Revisiting “Where Does the Customer Fit in a Service Operation?” Background and Future Development of Contact Theory, Handbook of service science, Boston, MA: Springer US: 11–17.

Churchill Jr G. A., Surprenant C. 1982 An investigation into the determinants of customer satisfaction. Journal of marketing research, 19, 4: 491–504. DOI: 10.1177/002224378201900410

Hawkes A.G. 1971. Spectra of some self-exciting and mutually exciting point processes. Biometrika,

, 1: 83–90. DOI: 10.1093/BIOMET/58.1.83

Johnston R., Kong X. 2011. The customer experience: a road‐map for improvement. Managing Service Quality: An International Journal, 21, 1: 5–24. 10.1108/09604521111100225

Lemon K.N., Verhoef P.C. 2016. Understanding customer experience throughout the customer journey. Journal of marketing, 80, 6: 69–96. https://doi.org/10.1509/JM.15.0420

Müller V., Park V., Park Z. 2019. Systematic evaluation of customer experience optimization in multi-channel banking service delivery. URL: academia.edu/145046001/Systematic_evaluation_of_customer_experience_optimization_in_multi_channel_banking_service_delivery.

Novak T.P., Hoffman D.L., Yung Y.F. 2000. Measuring the customer experience in online environments: A structural modeling approach. Marketing science, 19, 1: 22–42. DOI: 10.1287/mksc.19.1.22.15184

Unal U., Bağcı R.B., Taşçıoğlu M. 2025. Multidimensional customer experience in the sustainability context. Management Decision. DOI:10.1108/MD-12-2023-2316

Verhoef P.C. et al. 2009. Customer experience creation: Determinants, dynamics and management strategies. Journal of retailing, 85, 1: 31–41. DOI: 10.1016/j.jretai.2008.11.001

Von Hippel E. 1982. Successful Industrial Products from Customer Ideas: Presentation of a new cus Churchill Jr G.A., Surprenant C. An investigation into the determinants of customer satisfaction. Journal of marketing research, 19, 4: 491–504. doi:10.1016/0048-7333(82)90037-3.

Iloka B.C., Anukwe G.I. 2020. Review of eye-tracking: A neuromarketing technique. Neuroscience Research Notes, 3, 4: 29–34. DOI: 10.31117/neuroscirn.v3i4.61

Gheorghe C.M., Purcărea V.L., Gheorghe I.R. 2023. Using eye-tracking technology in Neuromarketing. Romanian journal of ophthalmology, 67, 1: 2. DOI: 10.22336/rjo.2023.2

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Published

2026-03-30

How to Cite

Kleshchunova, A. O., Pryadko, S. N., & Kovalenko, M. N. (2026). Designing the Consumer Experience: CJM Testing Using Neuromarketing Technologies. Economics. Information Technologies, 53(1), 45-64. https://doi.org/10.52575/2687-0932-2026-53-1-45-64

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Section

INVESTMENT AND INNOVATIONS