Modelling Customers Lifetime Value For Non-Contractual Business

Riyanto Riyanto, Abdul Azis

Abstract


Due to the increasing importance placed on customer equity in today's business environment, many companies are focusing on the notion of customer loyalty and profitability to increase market share. Building a successful Customer Relationship Management (CRM), a company starts from identifying true value and customer loyalty because customer value can provide basic information to spread more targeted and personalized marketing. In this paper, customer lifetime value (CLV) is used for customer segmentation in non-contracted businesses. The results obtained from this study are very acceptable. CLV has successfully analyzed and produced a fairly strong assumption about the value possessed by each customer whether they will make a return transaction or not.

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Keywords


CLV, CRM, Business, E-Commerce, Customer Transaction Prediction

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C. C. Lin and D. H. Shih, “Data mining techniques to enhance customer lifetime value,” Adv. Mater. Res., vol. 225–226, pp. 3–7, 2011, doi: 10.4028/www.scientific.net/AMR.225-226.3.

V. Ravi, Advances in banking technology and management: Impacts of ICT and CRM. 2007.

T. L. Keiningham, L. Aksoy, L. Williams, and A. J. Buoye, “Customers as Assets,” Wallet Alloc. Rule, no. October, pp. 89–108, 2015, doi: 10.1002/9781119209867.ch4.

V. A. Z. Roland T. Rust, Katherine N. Lemon, “Return on Marketing:Using Customer Equity to FocusMarketing Strategy,” Journal of Marketing, vol. 9992 LNAI. pp. 291–302, 2004, doi: 10.1007/978-3-319-50127-7_24.

M. Haenlein, A. M. Kaplan, and D. Schoder, “Valuing the Real Option of,” J. Mark., vol. 70, no. July, pp. 5–20, 2006.

W. Reinartz, J. S. Thomas, and V. Kumar, “Balancing acquisition and retention resources to maximize customer profitability,” J. Mark., vol. 69, no. 1, pp. 63–79, 2005, doi: 10.1509/jmkg.69.1.63.55511.

M. Ma, Z. Li, and J. Chen, “Phase-type distribution of customer relationship with Markovian response and marketing expenditure decision on the customer lifetime value,” Eur. J. Oper. Res., vol. 187, no. 1, pp. 313–326, 2008, doi: 10.1016/j.ejor.2007.03.018.

Y. Y. Shih and D. R. Liu, “Product recommendation approaches: Collaborative filtering via customer lifetime value and customer demands,” Expert Syst. Appl., vol. 35, no. 1–2, pp. 350–360, 2008, doi: 10.1016/j.eswa.2007.07.055.

P. Hidalgo, E. Manzur, S. Olavarrieta, and P. Farías, “Customer retention and price matching: The AFPs case,” J. Bus. Res., vol. 61, no. 6, pp. 691–696, 2008, doi: 10.1016/j.jbusres.2007.06.046.

R. Saharon, “Customer Lifetime Value Modeling and Its Use for Customer Retention Planning.” Association for Computing Machinery, 2002.

M. Haenlein, A. M. Kaplan, and A. J. Beeser, “A Model to Determine Customer Lifetime Value in a Retail Banking Context,” Eur. Manag. J., vol. 25, no. 3, pp. 221–234, 2007, doi: 10.1016/j.emj.2007.01.004.

D. F. Benoit and D. Van den Poel, “Benefits of quantile regression for the analysis of customer lifetime value in a contractual setting: An application in financial services,” Expert Syst. Appl., vol. 36, no. 7, pp. 10475–10484, 2009, doi: 10.1016/j.eswa.2009.01.031.

R. Swift, “How Leading Companies Achieve Profitability through Accelerating Customer Relationships,” Inf. Age Econ., no. September, pp. 35–42, 2001, doi: 10.1007/978-3-642-57547-1_5.

D. Peppers, M. Rogers, and B. Dorf, “Is your company ready for one-to-one marketing?,” Harv. Bus. Rev., vol. 77, no. 1, pp. 151–160, 1999.

P. Čermák, “Customer Profitability Analysis and Customer Life Time Value Models: Portfolio Analysis,” Procedia Econ. Financ., vol. 25, no. May, pp. 14–25, 2015, doi: 10.1016/s2212-5671(15)00708-x.

J. Wei, S. Lin, and H. Wu, “A review of the application of RFM model,” African J. Bus. Manag., vol. 4, no. 19, pp. 4199–4206, 2010.

C. H. Cheng and Y. S. Chen, “Classifying the segmentation of customer value via RFM model and RS theory,” Expert Syst. Appl., vol. 36, no. 3 PART 1, pp. 4176–4184, 2009, doi: 10.1016/j.eswa.2008.04.003.

N. Piersma and J. J. Jonker, “Determining the optimal direct mailing frequency,” Eur. J. Oper. Res., vol. 158, no. 1, pp. 173–182, 2004, doi: 10.1016/S0377-2217(03)00349-7.

M. Tarokh and M. EsmaeiliGookeh, “A New Model to Speculate CLV Based on Markov Chain Model,” J. Ind. Eng. Manag. Stud., vol. 4, no. 2, pp. 85–102, 2017, doi: 10.22116/jiems.2017.54609.

P. S. Fader, B. G. S. Hardie, and K. A. L. O. K. Lee, “Rfm_Clv-Jmr-2005,” vol. XLII, no. November, pp. 415–430, 2005.

M. Tolon and D. Aslan, “Comparing Customer Segmentation With CLV Using Data Mining and Statistics: A Case Study,” J. Bus. Res. - Turk, vol. 10, no. 4, pp. 887–900, 2018, doi: 10.20491/isarder.2018.554.


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