IDEAS home Printed from https://ideas.repec.org/a/vrn/journl/y2023i2p101-109.html
   My bibliography  Save this article

Decoding the DNA of Customer Relationships: the Role of Marketing Diagnostics in the Digital Age

Author

Listed:
  • Ivelina IVANOVA-KADIRI

    (Marketing Department, University of Economics – Varna)

Abstract

As businesses increasingly recognize the importance of effective customer relationship management, building a rich database and managing it sustainably becomes a crucial factor for success. Digital transformation has altered consumer behavior, necessitating the transformation of strategic frameworks for managing customer relationships and precise management of customer data. To implement effective marketing approaches, it is necessary to conduct a CRM system diagnostics that identifies critical customer interaction areas through adequate metrics. This paper examines the main aspects of marketing diagnostics and their contribution to customer relationship management. The research focuses on the nature and development of three main diagnostic tools as fundamental to the diagnostic process in customer relationship management: the RFM-method, the customer lifetime value (CLTV) and the Customer churn prediction model. The possibilities of using machine learning and artificial intelligence in marketing diagnostics and their impact on customer relationship management are discussed. The purpose of the present study is to contribute to a better understanding of the importance of marketing diagnostics for customer relationship management and to highlight the importance of the effective application of diagnostic tools in organizations.

Suggested Citation

  • Ivelina IVANOVA-KADIRI, 2023. "Decoding the DNA of Customer Relationships: the Role of Marketing Diagnostics in the Digital Age," Business & Management Compass, University of Economics Varna, issue 2, pages 101-109.
  • Handle: RePEc:vrn:journl:y:2023:i:2:p:101-109
    as

    Download full text from publisher

    File URL: https://journal.ue-varna.bg/uploads/20230630070655_2012887440649e7f0f77170.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yao Zhang & Eric T. Bradlow & Dylan S. Small, 2013. "New measures of clumpiness for incidence data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 40(11), pages 2533-2548, November.
    2. Thuc Uyen Nguyen-Thi & Caroline Danièle Mothe, 2010. "The Link Between Non Technological Innovations And Technological Innovation," Post-Print hal-00920069, HAL.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Naciba Haned & Caroline Mothe & Thuc Uyen Nguyen-Thi, 2014. "Firm persistence in technological innovation: the relevance of organizational innovation," Post-Print halshs-01496526, HAL.
    2. Christian Le Bas & Caroline Mothe & Thuc Uyen Nguyen-Thi, 2011. "Technological innovation persistence : Literature survey and exploration of the role of organizational innovation," Working Papers 1132, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    3. Hervas-Oliver, Jose-Luis & Sempere-Ripoll, Francisca & Boronat-Moll, Carles, 2012. "Process innovation objectives and management complementarities: patterns, drivers, co-adoption and performance effects," MERIT Working Papers 2012-051, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    4. Naciba Haned & Caroline Mothe & Thuc Uyen Nguyen-Thi, 2014. "Firm persistence in technological innovation: the relevance of organizational innovation," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 23(5-6), pages 490-516, September.
    5. Lewandowska, Małgorzata Stefania & Szymura-Tyc, Maja & Gołębiowski, Tomasz, 2016. "Innovation complementarity, cooperation partners, and new product export: Evidence from Poland," Journal of Business Research, Elsevier, vol. 69(9), pages 3673-3681.
    6. Roberto Hernández-Chea & Akriti Jain & Nancy M. P. Bocken & Anjula Gurtoo, 2021. "The Business Model in Sustainability Transitions: A Conceptualization," Sustainability, MDPI, vol. 13(11), pages 1-25, May.
    7. Ciliberti, Stefano & Carraresi, Laura & Bröring, Stefanie, 2017. "What Drives Marketing and Organizational Innovation in the Food Industry? A Comparison between Italy and Germany," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 2017(1), June.
    8. Reutterer, Thomas & Platzer, Michael & Schröder, Nadine, 2021. "Leveraging purchase regularity for predicting customer behavior the easy way," International Journal of Research in Marketing, Elsevier, vol. 38(1), pages 194-215.
    9. Lizhen Xu & Jason A. Duan & Andrew Whinston, 2014. "Path to Purchase: A Mutually Exciting Point Process Model for Online Advertising and Conversion," Management Science, INFORMS, vol. 60(6), pages 1392-1412, June.
    10. Guodong Ni & Heng Xu & Qingbin Cui & Yaning Qiao & Ziyao Zhang & Huaikun Li & Paul J. Hickey, 2020. "Influence Mechanism of Organizational Flexibility on Enterprise Competitiveness: The Mediating Role of Organizational Innovation," Sustainability, MDPI, vol. 13(1), pages 1-23, December.
    11. Abdul Waheed & Xiaoming Miao & Salma Waheed & Naveed Ahmad & Abdul Majeed, 2019. "How New HRM Practices, Organizational Innovation, and Innovative Climate Affect the Innovation Performance in the IT Industry: A Moderated-Mediation Analysis," Sustainability, MDPI, vol. 11(3), pages 1-21, January.
    12. Ljiljana Božić & Pierre Mohnen, 2016. "Determinants of Innovation in Croatian SMEs – Comparison of Service and Manufacturing Firms," Tržište/Market, Faculty of Economics and Business, University of Zagreb, vol. 28(1), pages 7-27.
    13. Muhammad Nouman & Aamer Taj & Saleem Gul, 2017. "The Individual's Influence on Low-Technology Innovation: A Critical Realism Based Case Study on North-West Pakistan's Marble Sector," Business & Economic Review, Institute of Management Sciences, Peshawar, Pakistan, vol. 9(1), pages 131-155, March.
    14. Christian Le Bas & Caroline Mothe & Thuc Uyen Nguyen-Thi, 2015. "The differentiated impacts of organizational innovation practices on technological innovation persistence," Post-Print halshs-01497289, HAL.
    15. Magdalena Gorzelany-Dziadkowiec, 2021. "COVID-19: Business Innovation Challenges," Sustainability, MDPI, vol. 13(20), pages 1-21, October.
    16. HANED Naciba & LE BAS Christian & MOTHE Caroline & NGUYEN Thi Thuc Uyen, 2012. "Firm technological innovation persistence: Organizational innovation matters," LISER Working Paper Series 2012-27, Luxembourg Institute of Socio-Economic Research (LISER).
    17. Małgorzata Stefania Lewandowska, 2014. "Innowacje otwarte polskich przedsiębiorstw," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 2, pages 53-80.
    18. Michael Platzer & Thomas Reutterer, 2016. "Ticking Away the Moments: Timing Regularity Helps to Better Predict Customer Activity," Marketing Science, INFORMS, vol. 35(5), pages 779-799, September.
    19. Priit Vahter & Maaja Vadi, 2022. "The Relationship Of Technological And Organizational Innovation With Firm Performance: Opening The Black Box Of Dynamic Complementarities," University of Tartu - Faculty of Economics and Business Administration Working Paper Series 138, Faculty of Economics and Business Administration, University of Tartu (Estonia).
    20. Geldes, Cristian & Felzensztein, Christian & Turkina, Ekaterina & Durand, Aurélia, 2015. "How does proximity affect interfirm marketing cooperation? A study of an agribusiness cluster," Journal of Business Research, Elsevier, vol. 68(2), pages 263-272.

    More about this item

    Keywords

    CRM system; marketing diagnostics; customer relationship management;
    All these keywords.

    JEL classification:

    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:vrn:journl:y:2023:i:2:p:101-109. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Yana Doneva (email available below). General contact details of provider: https://edirc.repec.org/data/uevarbg.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.