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Reversing the logic: the path to profitability through relationship marketing

Author

Listed:
  • Ilaria Dalla Pozza

    (Pôle Customer, Retail and Supply Chain - Rouen Business School - Rouen Business School)

  • V. Kumar

    (EM - EMLyon Business School)

  • J. Andrew Petersen
  • Denish Shah

Abstract

Many firms have experienced greater success through implementing relationship marketing strategies. This is achieved by gaining knowledge about their own customers through database marketing and about the general marketplace through marketing research. Over time, this has led firms to adopt a general framework which we call the conventional path to profitability. This conventional framework suggests that new product innovation leads to acquisition, acquisition combined with a rich experience leads to satisfaction, satisfaction leads to loyalty and customer retention, and loyalty/retention leads to profitability. However, we show that some of the links in the framework are weak based on both academic research and marketplace realities. Consequently, we reverse the logic of the conventional path to profitability. We introduce a new approach that starts the customer relationship management strategy with customer profitability and the notion that different customers should be rewarded and satisfied differently. In addition, we outline a strategy that relationship marketing firms can implement, leading to higher levels of customer profitability and offer directions for future research.

Suggested Citation

  • Ilaria Dalla Pozza & V. Kumar & J. Andrew Petersen & Denish Shah, 2009. "Reversing the logic: the path to profitability through relationship marketing," Post-Print hal-00565471, HAL.
    • Handle: RePEc:hal:journl:hal-00565471
    DOI: 10.1016/j.intmar.2009.02.003
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    Citations

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    Cited by:

    1. Ernest Tweneboah-Koduah & Augustine Yuty Duweh Farley, 2015. "Relationship between Customer Satisfaction and Customer Loyalty in the Retail Banking Sector of Ghana," International Journal of Business and Management, Canadian Center of Science and Education, vol. 11(1), pages 249-249, December.
    2. Even, Adir & Shankaranarayanan, G. & Berger, Paul D., 2010. "Managing the Quality of Marketing Data: Cost/benefit Tradeoffs and Optimal Configuration," Journal of Interactive Marketing, Elsevier, vol. 24(3), pages 209-221.
    3. Rémi Mencarelli & Carole Lombart, 2017. "Influences of the perceived value on actual repurchasing behavior: Empirical exploration in a retailing context," Post-Print hal-01592035, HAL.
    4. Blattberg, Robert C. & Malthouse, Edward C. & Neslin, Scott A., 2009. "Customer Lifetime Value: Empirical Generalizations and Some Conceptual Questions," Journal of Interactive Marketing, Elsevier, vol. 23(2), pages 157-168.
    5. Hélia Gonçalves Pereira & Maria Fátima Salgueiro & Paulo Rita, 2017. "Online determinants of e-customer satisfaction: application to website purchases in tourism," Service Business, Springer;Pan-Pacific Business Association, vol. 11(2), pages 375-403, June.
    6. Ho, Hillbun & Tien, Keng-Ming (Terence) & Wu, Anne & Singh, Sonika, 2021. "A sequence analysis approach to segmenting credit card customers," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    7. Dalla Pozza, Ilaria & Goetz, Oliver & Sahut, Jean Michel, 2018. "Implementation effects in the relationship between CRM and its performance," Journal of Business Research, Elsevier, vol. 89(C), pages 391-403.
    8. Lee, Hyoung-joo & Shin, Hyunjung & Hwang, Seong-seob & Cho, Sungzoon & MacLachlan, Douglas, 2010. "Semi-Supervised Response Modeling," Journal of Interactive Marketing, Elsevier, vol. 24(1), pages 42-54.
    9. Aksoy, Lerzan & Buoye, Alexander & Aksoy, Pelin & Larivière, Bart & Keiningham, Timothy L., 2013. "A Cross-national Investigation of the Satisfaction and Loyalty Linkage for Mobile Telecommunications Services across Eight Countries," Journal of Interactive Marketing, Elsevier, vol. 27(1), pages 74-82.
    10. Peltier, James W. & Zahay, Debra & Lehmann, Donald R., 2013. "Organizational Learning and CRM Success: A Model for Linking Organizational Practices, Customer Data Quality, and Performance," Journal of Interactive Marketing, Elsevier, vol. 27(1), pages 1-13.
    11. Mencarelli, Rémi & Lombart, Cindy, 2017. "Influences of the perceived value on actual repurchasing behavior: Empirical exploration in a retailing context," Journal of Retailing and Consumer Services, Elsevier, vol. 38(C), pages 12-21.
    12. Verhoef, Peter C. & Venkatesan, Rajkumar & McAlister, Leigh & Malthouse, Edward C. & Krafft, Manfred & Ganesan, Shankar, 2010. "CRM in Data-Rich Multichannel Retailing Environments: A Review and Future Research Directions," Journal of Interactive Marketing, Elsevier, vol. 24(2), pages 121-137.
    13. Fader, Peter S. & Hardie, Bruce G.S., 2009. "Probability Models for Customer-Base Analysis," Journal of Interactive Marketing, Elsevier, vol. 23(1), pages 61-69.

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