RFM and CLV: Using Iso-Value Curves for Customer Base Analysis
Abstract
The authors present a new model that links the well-known RFM (recency, frequency, and monetary value) paradigm with customer lifetime value (CLV). Although previous researchers have made a conceptual link, none has presented a formal model with a well-grounded behavioral ”story.” Key to this analysis is the notion of ”iso-value” curves, which enable the grouping of individual customers who have different purchasing histories but similar future valuations. Iso-value curves make it easy to visualize the interactions and trade-offs among the RFM measures and CLV. The stochastic model is based on the Pareto/NBD framework to capture the flow of transactions over time and a gamma-gamma submodel for spend per transaction. The authors conduct several holdout tests to demonstrate the validity of the model's underlying components and then use it to estimate the total CLV for a cohort of new customers of the online music site CDNOW. Finally, the authors discuss broader issues and opportunities in the application of this model in actual practice.
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Research on churn prediction was also conducted in online dating, online commerce, Q&A services, and social network-based services.
“Research on churn prediction was also conducted in online dating, online commerce, Q&A services, and social network-based services [46]”
From A Survey on Churn Analysis in Various Business Domains (2020) · cites this paper as [46]
Cites
Bolton, R. N. (1998) · Marketing Science · doi:10.1287/mksc.17.1.45 · Cited by 1,948 · see citing works
Counting Your Customers: Who-Are They and What Will They Do Next?
Schmittlein, D. C., Morrison, D. G., & Colombo, R. (1987) · Management Science · doi:10.1287/mnsc.33.1.1 · Cited by 662 · see citing works
Can we predict customer lifetime value?
Malthouse, E. C., & Blattberg, R. C. (2005) · Journal of Interactive Marketing · doi:10.1002/dir.20027 · Cited by 248 · see citing works
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CRM in Data-Rich Multichannel Retailing Environments: A Review and Future Research Directions <sup/>
Verhoef, P. C., Venkatesan, R., McAlister, L., Malthouse, E. C., Krafft, M., & Ganesan, S. (2010) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2010.02.009 · Cited by 160 · see citing works
LaMP: When Large Language Models Meet Personalization
Salemi, A., Mysore, S., Bendersky, M., & Zamani, H. (2023) · arXiv · doi:10.48550/arxiv.2304.11406 · Cited by 109 · see citing works
A Survey on Churn Analysis in Various Business Domains
Ahn, J., Hwang, J., Kim, D., Choi, H., & Kang, S. (2020) · IEEE Access · doi:10.1109/access.2020.3042657 · Cited by 108 · see citing works
“(2009) applied the RFM method, which is used for selecting loyal customers in the marketing field, to the churn prediction [38], [49].”
MethodMoving from customer lifetime value to customer equity
Drèze, X., & Bonfrer, A. (2009) · Quantitative Marketing and Economics · doi:10.1007/s11129-009-9067-y · Cited by 48 · see citing works
Reimer, K., & Becker, J. U. (2015) · Management Review Quarterly · doi:10.1007/s11301-014-0110-z · Cited by 11 · see citing works
Balancing Customer Engagement and Annoyance in Online Retail: Insights from a Field Experiment
Baek, J., Chen, D., Ma, W., & Mitrofanov, D. (2026) · doi:10.2139/ssrn.6165626 · Cited by 1 · see citing works
Niimi, J. (2025) · arXiv · doi:10.48550/arxiv.2510.25378
“…and Raghunathan [9]), journal name (Journal of Direct, Data, and Digital Marketing Practice [10]), and the paper title (e.g., “RFM and CLV” [11]), but the numerical details are fictitious, suggesting that multiple authentic entries were probabilistically merged into a coherent yet…”
- Authors
- Fader, P. S., Hardie, B. G. S., & Lee, K. L.
- Affiliations
- University of Pennsylvania (US)
- London Business School (GB)
- Catalina Health Resource
- Corresponding author
- Fader, Peter S.
- Hardie, Bruce G.S.
- Lee, Ka Lok
- Venue
- Journal of Marketing Research
- Publisher
- SAGE Publications
- Published
- 2005-11
- Volume
- 42
- Issue
- 4
- Pages
- 415-430
- ISSN
- 0022-2437 (ISSN-L)
- 1547-7193
- OpenAlex
- W2025348367
- Cited by
- 595
- References
- 3
- Citations by year
- 2026: 46 · 2025: 32 · 2024: 30 · 2023: 33 · 2022: 30 · 2021: 39 · 2020: 38 · 2019: 30 · 2018: 31 · 2017: 30 · 2016: 28 · 2015: 28 · 2014: 33 · 2013: 29 · 2012: 11
- FWCI
- 70.21
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Marketing Research (publishedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › Customer churn and segmentation
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Customer Service Quality and Loyalty
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Market Behavior and Pricing
- Keywords
- customer lifetime value, Pareto/NBD model, Gamma-Gamma model, customer segmentation, customer base analysis
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