Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/97068
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Title: Customer acquisition and retention spending : an analytical model and empirical investigation in wireless telecommunications markets
Authors: Min, S
Zhang, X 
Kim, N 
Srivastava, RK
Issue Date: Oct-2016
Source: Journal of marketing research, Oct. 2016, v. 53, no. 5, p. 728-744
Abstract: Strategic resource allocation in growth markets is always a challenging task. This is especially true when it comes to determining the level of investments and expenditures for customer acquisition and retention in competitive and dynamic market environments. This study develops an analytical model to examine firms' investments in customer acquisition and retention for a new service; it develops hypotheses drawing on analytical findings and tests them with firm-level operating data of wireless telecommunications markets from 41 countries during 1S99-2007. The empirical investigation shows that a firm's acquisition cost per customer is more sensitive to market position and competition than retention cost per customer. Furthermore, whereas firms leading in market share, on average, do not have a cost advantage over other firms in retaining customers, they have a substantial cost advantage in acquiring customers, and this advantage tends to increase with market penetration. The study results provide guidelines for firms' strategic resource allocation for customer acquisition and retention in competitive service markets.
Keywords: Acquisition cost
Customer relationship management
Market dynamics
Retention cost
Wireless communications industry
Publisher: American Marketing Association
Journal: Journal of marketing research 
ISSN: 0022-2437
EISSN: 1547-7193
DOI: 10.1509/jmr.14.0170
Rights: This is the accepted version of the publication Min, S., Zhang, X., Kim, N., & Srivastava, R. K. (2016). Customer Acquisition and Retention Spending: An Analytical Model and Empirical Investigation in Wireless Telecommunications Markets. Journal of Marketing Research, 53(5), 728–744. Copyright © 2016, American Marketing Association. DOI: 10.1509/jmr.14.0170
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