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Dynamic Customer Management and the Value of One-to-One Marketing

Citations

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Cited by:

  1. Liu, Zhuping & Duan, Jason A & Mahajan, Vijay, 2020. "Dynamics and peer effects of brand revenue in college sports," International Journal of Research in Marketing, Elsevier, vol. 37(4), pages 756-771.
  2. Mark, Tanya & Lemon, Katherine N. & Vandenbosch, Mark & Bulla, Jan & Maruotti, Antonello, 2013. "Capturing the Evolution of Customer–Firm Relationships: How Customers Become More (or Less) Valuable Over Time," Journal of Retailing, Elsevier, vol. 89(3), pages 231-245.
  3. Tat Chan & Naser Hamdi & Xiang Hui & Zhenling Jiang, 2022. "The Value of Verified Employment Data for Consumer Lending: Evidence from Equifax," Marketing Science, INFORMS, vol. 41(4), pages 795-814, July.
  4. Robert W. Palmatier & Andrew T. Crecelius, 2019. "The “first principles” of marketing strategy," AMS Review, Springer;Academy of Marketing Science, vol. 9(1), pages 5-26, June.
  5. Hossain, Md Afnan & Akter, Shahriar & Yanamandram, Venkata, 2020. "Revisiting customer analytics capability for data-driven retailing," Journal of Retailing and Consumer Services, Elsevier, vol. 56(C).
  6. Sonnier, Garrett P., 2014. "The market value for product attribute improvements under price personalization," International Journal of Research in Marketing, Elsevier, vol. 31(2), pages 168-177.
  7. Arun Gopalakrishnan & Eric T. Bradlow & Peter S. Fader, 2017. "A Cross-Cohort Changepoint Model for Customer-Base Analysis," Marketing Science, INFORMS, vol. 36(2), pages 195-213, March.
  8. Bharadwaj Kadiyala & Özalp Özer & A. Serdar Şimşek, 2021. "Data‐Driven Approaches to Targeting Promotion E‐mails: The Case of Delayed Incentives," Production and Operations Management, Production and Operations Management Society, vol. 30(3), pages 766-782, March.
  9. Lewis, Michael & Whitler, Kimberly A. & Hoegg, JoAndrea, 2013. "Customer Relationship Stage and the Use of Picture-Dominant versus Text-Dominant Advertising: A Field Study," Journal of Retailing, Elsevier, vol. 89(3), pages 263-280.
  10. Tuck Siong Chung & Michel Wedel & Roland T. Rust, 2016. "Adaptive personalization using social networks," Journal of the Academy of Marketing Science, Springer, vol. 44(1), pages 66-87, January.
  11. Mercedes Esteban-Bravo & Jose M. Vidal-Sanz & Gökhan Yildirim, 2014. "Valuing Customer Portfolios with Endogenous Mass and Direct Marketing Interventions Using a Stochastic Dynamic Programming Decomposition," Marketing Science, INFORMS, vol. 33(5), pages 621-640, September.
  12. Reimer, Kerstin & Albers, Sönke, 2011. "Modeling Repeat Purchases in the Internet when RFM Captures Past Influence of Marketing," EconStor Preprints 50730, ZBW - Leibniz Information Centre for Economics.
  13. Jonathan Z. Zhang & Oded Netzer & Asim Ansari, 2014. "Dynamic Targeted Pricing in B2B Relationships," Marketing Science, INFORMS, vol. 33(3), pages 317-337, May.
  14. Thomas Reutterer & Kurt Hornik & Nicolas March & Kathrin Gruber, 2017. "A data mining framework for targeted category promotions," Journal of Business Economics, Springer, vol. 87(3), pages 337-358, April.
  15. Ham, Sung H. & He, Chuan & Zhang, Dan, 2022. "The promise and peril of dynamic targeted pricing," International Journal of Research in Marketing, Elsevier, vol. 39(4), pages 1150-1165.
  16. Luca Panzone & Guy Garrod & Felice Adinolfi & Jorgelina Di Pasquale, 2022. "Molecular marketing, personalised information and willingness‐to‐pay for functional foods: Vitamin D enriched eggs," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(3), pages 666-689, September.
  17. Jonathan Z. Zhang & Chun-Wei Chang, 2021. "Consumer dynamics: theories, methods, and emerging directions," Journal of the Academy of Marketing Science, Springer, vol. 49(1), pages 166-196, January.
  18. Yael Karlinsky-Shichor & Oded Netzer, 2024. "Automating the B2B Salesperson Pricing Decisions: A Human-Machine Hybrid Approach," Marketing Science, INFORMS, vol. 43(1), pages 138-157, January.
  19. Aurélie Lemmens & Sunil Gupta, 2020. "Managing Churn to Maximize Profits," Marketing Science, INFORMS, vol. 39(5), pages 956-973, September.
  20. Libai, Barak & Bart, Yakov & Gensler, Sonja & Hofacker, Charles F. & Kaplan, Andreas & Kötterheinrich, Kim & Kroll, Eike Benjamin, 2020. "Brave New World? On AI and the Management of Customer Relationships," Journal of Interactive Marketing, Elsevier, vol. 51(C), pages 44-56.
  21. Yi Qian & Hui Xie, 2011. "No Customer Left Behind: A Distribution-Free Bayesian Approach to Accounting for Missing Xs in Marketing Models," Marketing Science, INFORMS, vol. 30(4), pages 717-736, July.
  22. Alexandre Belloni & Mitchell J. Lovett & William Boulding & Richard Staelin, 2012. "Optimal Admission and Scholarship Decisions: Choosing Customized Marketing Offers to Attract a Desirable Mix of Customers," Marketing Science, INFORMS, vol. 31(4), pages 621-636, July.
  23. Yaxin Ming & Chenxi Li & Jing (Elaine) Chen, 2021. "Acquisition mode and credit card overspending behavior: An empirical analysis of the credit card industry," Journal of Consumer Affairs, Wiley Blackwell, vol. 55(1), pages 232-253, March.
  24. Youngsoo Kim & Ramayya Krishnan, 2019. "The Dynamics of Online Consumers’ Response to Price Promotion," Service Science, INFORMS, vol. 30(1), pages 175-190, March.
  25. von Mutius, Bernhard & Huchzermeier, Arnd, 2021. "Customized Targeting Strategies for Category Coupons to Maximize CLV and Minimize Cost," Journal of Retailing, Elsevier, vol. 97(4), pages 764-779.
  26. Roland T. Rust & Ming-Hui Huang, 2014. "The Service Revolution and the Transformation of Marketing Science," Marketing Science, INFORMS, vol. 33(2), pages 206-221, March.
  27. Kurt P. Munz & Minah H. Jung & Adam L. Alter, 2020. "Name Similarity Encourages Generosity: A Field Experiment in Email Personalization," Marketing Science, INFORMS, vol. 39(6), pages 1071-1091, November.
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