Abstract
Investing in existing customers is widely accepted as a promising strategy because it is believed to be less costly than attracting new ones. Recent research by Reinartz et al. [38] provides indications, however, that it could also be profitable to simultaneously focus on a customer segment being more transaction-oriented. In this contribution – using the example of an e-tailer – we specifically look at the question regarding the optimal mix of different customer segments within a customer portfolio. Portfolio Selection Theory is applied to develop a model to determine the optimal proportion of the different customer types from a value-based risk management perspective. A first evaluation is realized with a publicly accessible set of empirical data from the e-tailer CDNow. The results of the model provide a basis for the alignment of future CRM-activities.
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Kundisch, D., Sackmann, S., Ruch, M. (2008). Transferring Portfolio Selection Theory to Customer Portfolio Management – The Case of an e-Tailer. In: Veit, D.J., Kundisch, D., Weitzel, T., Weinhardt, C., Rabhi, F.A., Rajola, F. (eds) Enterprise Applications and Services in the Finance Industry. FinanceCom 2007. Lecture Notes in Business Information Processing, vol 4. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78550-7_3
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DOI: https://doi.org/10.1007/978-3-540-78550-7_3
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