A New Model for Calculating Customer Lifetime Value on Monetary, Interpurchase Time and Retention

Authors

  • Hui-Hsin Huang Department of Advertising &Public Relations, Fu Jen Catholic University, Taiwan

Keywords:

Customer lifetime value(CLV), monetary, interpurchase time, retention

Abstract

Customer lifetime value(CLV) is an important an index to help company measure its customer value and allocate its marketing resource efficiency. CLV model bases on economic concept to calculate customer value with their purchase behavior.This paper construct a new model for calculating customer lifetime value on monetary, interpurchase time and retention. The empirical data of a credit card company is used to estimate parameters and compare the predicting results with other CLV models. The results can make application for different industries for customer value management.

References

Borle, S., Singh, S. S. and Jain, D. C. (2008). Customer lifetime value measurement, Management Science, Vol. 54, No. 1, 100–112.

Chiang ,L.L. and Yang, C.S.(2018).Does country-of-origin brand personality generate retail customer lifetime value? A Big Data analytics approach. Technological Forecasting and Social Change, 130, May pp.177-187.

Dahana,W. D., Miwa ,Y. and Morisada, M.(2019)Linking lifestyle to customer lifetime value: An exploratory study in an online fashion retail market. Journal of Business Research, 99, June pp.319-331.

Huang, H.H. (2014).A Predictive Model of Customer Monetary Spending Based on Geometric Purchase Time and Lognormal Monetary Model. International Journal of Information and Management Science, 25(2), 181-194.

Jasek, P., Vrana, L., Sperkova, L., Smutny, Z., and Kobulsky, M. (2019). Comparative analysis of selected probabilistic customer lifetime value models in online shopping. Journal of Business Economics and Management, 20(3), 398-423.

Kumar, V., Reinartz, W.(2018). Customer Relationship Management: Concept, Strategy, and Tools. Springer Berlin Heidelberg

Lin,H.H., Li,H.T., Wang,Y.S., Tseng,T. H., Kao, Y. L. and Wu, M.Y. (2017). Predicting customer lifetime value for hypermarket private label products. Journal of Business Economics and Management, 18(4), pp.619-635.

Monalisa,S., Nadya,P. Novita,R.(2019).Analysis for Customer Lifetime Value Categorization with RFM Model. Procedia Computer Science,161, pp. 834-840.

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Published

2022-01-18

Issue

Vol. 11 No. 2 (2021)

Section

Articles

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