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English Information

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Authors
# Name
1 Maria Eduarda de Pinho Braga(maria.e.braga@ufv.br)
2 João Marcos Alves Modesto Ramos(joao.m.ramos@ufv.br)
3 Fabrício Silva(fabricio.asilva@ufv.br)
4 Linnyer Beatrys Ruiz Aylon(lbruiz@uem.br)

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Reference
# Reference
1 Berger, P. D. and Nasr, N. I. (1998). Customer lifetime value: Marketing models and applications. Journal of Interactive Marketing, 12(1):17–30.
2 Fader, P. S., Hardie, B. G., and Lee, K. L. (2005). “Counting your customers” the easy way: An alternative to the Pareto/NBD model. Marketing Science, 24(2):275–284.
3 Fader, P. S. and Hardie, B. G. S. (2013). The gamma-gamma model of monetary value. Marketing Science Institute Working Paper, 2:1–9.
4 Jain, D. and Singh, S. S. (2002). Customer lifetime value research in marketing: A review and future directions. Journal of Interactive Marketing, 16(2):34–46.
5 Popa, A.-L., Sasu, D. V., and Tarcza, T. M. (2021). Investigating the importance of customer lifetime value in modern marketing – a literature review. Annals of the Faculty of Economics, 30(2):410–416.
6 Qismat, T. and Feng, Y. (2020). Comparison of classical RFM models and machine learning models in CLV prediction. Master thesis, BI Norwegian Business School, Oslo, Norway. GRA 19703, Master of Science.
7 Ramos, J. and Silva, F. (2024). A solution for predicting the customer lifetime value of different market segments. In Anais do XII Symposium on Knowledge Discovery, Mining and Learning, pages 81–88, Porto Alegre, RS, Brasil. SBC.
8 Schmittlein, D. C., Morrison, D. G., and Colombo, R. (1987). Counting your customers: Who are they and what will they do next? Management Science, 33(1):1–24.
9 Ullah, A., Mohmand, M. I., Hussain, H., Johar, S., Khan, I., Ahmad, S., Mahmoud, H. A., and Huda, S. (2023). Customer analysis using machine learning-based classification algorithms for effective segmentation using recency, frequency, monetary, and time. Sensors, 23(6):3180.
10 Venkatesan, R. and Kumar, V. (2004). A customer lifetime value framework for customer selection and resource allocation strategy. Journal of Marketing, 68(4):106–125.