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| Gamma-Gamma Spend Model× | Customer Lifetime Value× | |
|---|---|---|
| Fachgebiet | Marketing | Marketing |
| Familie≠ | Regression model | Process / pipeline |
| Entstehungsjahr≠ | 2013 | 1996 |
| Urheber≠ | Peter S. Fader & Bruce G. S. Hardie | Robert Blattberg and John Deighton |
| Typ≠ | Probabilistic model of monetary value per transaction | Financial modeling methodology |
| Wegweisende Quelle≠ | Fader, P. S., & Hardie, B. G. S. (2013). The Gamma-Gamma Model of Monetary Value. Technical note, www.brucehardie.com/notes/025/. link ↗ | Blattberg, R. C., Getz, G., & Thomas, J. S. (2001). Customer Equity: Building and Managing Relationships as Assets. Harvard Business School Press. ISBN: 978-0875847191 |
| Aliasnamen≠ | Gamma-Gamma Model, Gamma/Gamma Spend Model, Monetary Value Model, Average Transaction Value Model | CLV, LTV, Customer Value |
| Verwandt≠ | 4 | 5 |
| Zusammenfassung≠ | The Gamma-Gamma model of monetary value is the standard companion to buy-till-you-die transaction models, estimating how much a customer spends per transaction so that purchase-count forecasts can be turned into monetary customer lifetime value. Formalized by Peter Fader and Bruce Hardie in a widely cited technical note, it assumes that each customer's individual transactions vary around their own average spend according to a gamma distribution, and that these per-customer average-spend levels themselves vary across the population according to a second gamma distribution, giving the model its name. A central assumption is that a customer's monetary value is independent of their transaction frequency, which lets the spend model be estimated and combined separately from a frequency model such as BG/NBD or Pareto/NBD. The model produces, for each customer, a Bayesian estimate of expected spend that shrinks a customer's noisy observed average toward the population mean, with more shrinkage for customers who have made fewer transactions. This guards against over-trusting the average order value of a customer seen only once or twice. The result feeds directly into the residual-lifetime-value calculation that powers customer-base analysis. | Customer Lifetime Value (CLV) is a financial metric that quantifies the total profit a company expects to generate from its relationship with a customer over the entire duration of that relationship. Developed through work by Blattberg, Getz, and Thomas in the 1990s-2000s, CLV integrates acquisition costs, purchase behavior, retention rates, and margin information to estimate the net present value of each customer. |
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