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Technical Note—Why Does the NBD Model Work? Robustness in Representing Product Purchases, Brand Purchases and Imperfectly Recorded Purchases

Citations

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Cited by:

  1. Trinh, Giang & Wright, Malcolm J., 2022. "Predicting future consumer purchases in grocery retailing with the condensed Poisson lognormal model," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
  2. Nenycz-Thiel, Magda & Beal, Virginia & Ludwichowska, Gosia & Romaniuk, Jenni, 2013. "Investigating the accuracy of self-reports of brand usage behavior," Journal of Business Research, Elsevier, vol. 66(2), pages 224-232.
  3. Ehrenberg, Andrew S. C. & Uncles, Mark D. & Goodhardt, Gerald J., 2004. "Understanding brand performance measures: using Dirichlet benchmarks," Journal of Business Research, Elsevier, vol. 57(12), pages 1307-1325, December.
  4. Trinh, Giang & Dawes, John, 2020. "A comparison of brand loyalty between on the go and take-home consumption purchases," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
  5. Giang Tue Trinh & John Dawes & Byron Sharp, 2024. "Where is the brand growth potential? An examination of buyer groups," Marketing Letters, Springer, vol. 35(1), pages 95-106, March.
  6. Felix Wick & Ulrich Kerzel & Martin Hahn & Moritz Wolf & Trapti Singhal & Daniel Stemmer & Jakob Ernst & Michael Feindt, 2021. "Demand Forecasting of Individual Probability Density Functions with Machine Learning," SN Operations Research Forum, Springer, vol. 2(3), pages 1-39, September.
  7. Shi, Ruixia & Chen, Hongyu & Sethi, Suresh P., 2019. "A generalized count model on customers' purchases in O2O market," International Journal of Production Economics, Elsevier, vol. 215(C), pages 121-130.
  8. Kinshuk Jerath & Anuj Kumar & Serguei Netessine, 2015. "An Information Stock Model of Customer Behavior in Multichannel Customer Support Services," Manufacturing & Service Operations Management, INFORMS, vol. 17(3), pages 368-383, July.
  9. Giang Trinh & Cam Rungie & Malcolm Wright & Carl Driesener & John Dawes, 2014. "Predicting future purchases with the Poisson log-normal model," Marketing Letters, Springer, vol. 25(2), pages 219-234, June.
  10. Mayukh Dass & Masoud Moradi & Fereshteh Zihagh, 2023. "Forecasting purchase rates of new products introduced in existing categories," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(3), pages 385-408, September.
  11. Trinh, Giang & Khan, Huda & Lockshin, Larry, 2020. "Purchasing behaviour of ethnicities: Are they different?," International Business Review, Elsevier, vol. 29(4).
  12. Trinh, Giang & Corsi, Armando & Lockshin, Larry, 2019. "How country of origins of food products compete and grow," Journal of Retailing and Consumer Services, Elsevier, vol. 49(C), pages 231-241.
  13. Michael Braun & Peter S. Fader & Eric T. Bradlow & Howard Kunreuther, 2006. "Modeling the "Pseudodeductible" in Insurance Claims Decisions," Management Science, INFORMS, vol. 52(8), pages 1258-1272, August.
  14. Sha Yang & Yi Zhao & Ravi Dhar, 2010. "Modeling the Underreporting Bias in Panel Survey Data," Marketing Science, INFORMS, vol. 29(3), pages 525-539, 05-06.
  15. Desmond Lam & Richard Mizerski, 2009. "An investigation into gambling purchases using the NBD and NBD–Dirichlet models," Marketing Letters, Springer, vol. 20(3), pages 263-276, September.
  16. Zhiqiang (Eric) Zheng & Peter Fader & Balaji Padmanabhan, 2012. "From Business Intelligence to Competitive Intelligence: Inferring Competitive Measures Using Augmented Site-Centric Data," Information Systems Research, INFORMS, vol. 23(3-part-1), pages 698-720, September.
  17. Patrick Bachmann & Markus Meierer & Jeffrey Näf, 2021. "The Role of Time-Varying Contextual Factors in Latent Attrition Models for Customer Base Analysis," Marketing Science, INFORMS, vol. 40(4), pages 783-809, July.
  18. Huang, Chun-Yao, 2012. "To model, or not to model: Forecasting for customer prioritization," International Journal of Forecasting, Elsevier, vol. 28(2), pages 497-506.
  19. Shaw, Michael & Nowicki, Andrew, 2018. "Incommensurability and paradigm crossing: Folding the EGs back into the omelet or blood in the water?," Australasian marketing journal, Elsevier, vol. 26(4), pages 297-302.
  20. Juha Karvanen & Ari Rantanen & Lasse Luoma, 2014. "Survey data and Bayesian analysis: a cost-efficient way to estimate customer equity," Quantitative Marketing and Economics (QME), Springer, vol. 12(3), pages 305-329, September.
  21. Romaniuk, Jenni & Nenycz-Thiel, Magda, 2013. "Behavioral brand loyalty and consumer brand associations," Journal of Business Research, Elsevier, vol. 66(1), pages 67-72.
  22. Lux, Thomas, 2017. "On the distribution of links in financial networks: Structural heterogeneity and functional form," Economics Working Papers 2017-05, Christian-Albrechts-University of Kiel, Department of Economics.
  23. Park, Chang Hee & Park, Young-Hoon & Schweidel, David A., 2014. "A multi-category customer base analysis," International Journal of Research in Marketing, Elsevier, vol. 31(3), pages 266-279.
  24. Anesbury, Zachary William & Talbot, Danielle & Day, Chanel Andrea & Bogomolov, Tim & Bogomolova, Svetlana, 2020. "The fallacy of the heavy buyer: Exploring purchasing frequencies of fresh fruit and vegetable categories," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
  25. Tapiero, Charles S., 2000. "The NBD repeat purchase process and M/G/[infinity] queues," International Journal of Production Economics, Elsevier, vol. 63(2), pages 141-145, January.
  26. Thomas Lux, 2020. "On the distribution of links in financial networks: structural heterogeneity and functional form," Empirical Economics, Springer, vol. 58(3), pages 1019-1053, March.
  27. Peter Fader & Bruce Hardie, 2000. "A note on modelling underreported Poisson counts," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(8), pages 953-964.
  28. Silberhorn, Nadja & Hildebrandt, Lutz, 2009. "Is cross-category brand loyalty determined by risk aversion?," SFB 649 Discussion Papers 2009-061, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
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