The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Practice Prize Report—The Power of CLV: Managing Customer Lifetime Value at IBM
Abstract
Customer management activities at firms involve making consistent decisions over time, about: (a) which customers to select for targeting, (b) determining the level of resources to be allocated to the selected customers, and (c) selecting customers to be nurtured to increase future profitability. Measurement of customer profitability and a deep understanding of the link between firm actions and customer profitability are critical for ensuring the success of the above decisions. We present the case study of how IBM used customer lifetime value (CLV) as an indicator of customer profitability and allocated marketing resources based on CLV. CLV was used as a criterion for determining the level of marketing contacts through direct mail, telesales, e-mail, and catalogs for each customer. In a pilot study implemented for about 35,000 customers, this approach led to reallocation of resources for about 14% of the customers as compared to the allocation rules used previously (which were based on past spending history). The CLV-based resource reallocation led to an increase in revenue of about $20 million (a tenfold increase) without any changes in the level of marketing investment. Overall, the successful implementation of the CLV-based approach resulted in increased productivity from marketing investments. We also discuss the organizational and implementation challenges that surrounded the adoption of CLV in this firm.
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Citations
Cites
Return on Marketing: Using Customer Equity to Focus Marketing Strategy
Rust, R. T., Lemon, K. N., & Zeithaml, V. A. (2004) · Journal of Marketing · doi:10.1509/jmkg.68.1.109.24030 · Cited by 2,151
Reinartz, W. J., & Kumar, V. (2000) · Journal of Marketing · doi:10.1509/jmkg.64.4.17.18077 · Cited by 1,364
Self-citationA Customer Lifetime Value Framework for Customer Selection and Resource Allocation Strategy
Venkatesan, R., & Kumar, V. (2004) · Journal of Marketing · doi:10.1509/jmkg.68.4.106.42728 · Cited by 948
Self-citationThe Influence of Loyalty Programs and Short-Term Promotions on Customer Retention
Lewis, M. (2004) · Journal of Marketing Research · doi:10.1509/jmkr.41.3.281.35986 · Cited by 534
Modeling CLV: A test of competing models in the insurance industry
Donkers, B., Verhoef, P. C., & de Jong, M. G. (2007) · Quantitative Marketing and Economics · doi:10.1007/s11129-006-9016-y · Cited by 142 · cited 2×
“…et al. (2005) No No No No No Venkatesan and Kumar (2004) No No No No No Lewis (2004) No No Yes No No Fader et al. (2005) No Yes No No No Donkers et al. (2007) No Yes No No No Current study Yes Yes Yes Yes Yes previous individual level, and always-a-share-based CLV models along four…”
Background
Cited by
Undervalued or overvalued customers: Capturing total customer engagement value
Kumar, V., Aksoy, L., Donkers, B., Venkatesan, R., Wiesel, T., & Tillmanns, S. (2010) · Journal of Service Research · doi:10.1177/1094670510375602 · Cited by 1,382
Self-citationCompetitive Advantage through Engagement
Kumar, V., & Pansari, A. (2016) · Journal of Marketing Research · doi:10.1509/jmr.15.0044 · Cited by 1,182
Self-citationCreating Enduring Customer Value
Kumar, V., & Reinartz, W. (2016) · Journal of Marketing · doi:10.1509/jm.15.0414 · Cited by 829
Self-citationInteraction Orientation and Firm Performance
Ramani, G., & Kumar, V. (2008) · Journal of Marketing · doi:10.1509/jmkg.72.1.027 · Cited by 698
Self-citationThe Role of Big Data and Predictive Analytics in Retailing
Bradlow, E. T., Gangwar, M., Kopalle, P., & Voleti, S. (2017) · Journal of Retailing · doi:10.1016/j.jretai.2016.12.004 · Cited by 516
Metadata
- Authors
- Kumar, V., Venkatesan, R., Bohling, T., & Beckmann, D.
- Venue
- Marketing Science
- Published
- 2008-07
- Volume
- 27
- Issue
- 4
- Pages
- 585-599
- ISSN
- 0732-2399 (ISSN-L)
- 1526-548X
- OpenAlex
- W2118053852
- Cited by
- 184
- References
- 5
- FWCI
- 30.43
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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