Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Share of Wallet Analysis× | Пожизненная ценность клиента× | |
|---|---|---|
| Область | Маркетинг | Маркетинг |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 2007 | 1996 |
| Автор метода≠ | Bruce Cooil, Timothy Keiningham, Lerzan Aksoy & colleagues | Robert Blattberg and John Deighton |
| Тип≠ | Loyalty and category-spend measurement pipeline | Financial modeling methodology |
| Основополагающий источник≠ | Cooil, B., Keiningham, T. L., Aksoy, L., & Hsu, M. (2007). A Longitudinal Analysis of Customer Satisfaction and Share of Wallet: Investigating the Moderating Effect of Customer Characteristics. Journal of Marketing, 71(1), 67-83. DOI ↗ | Blattberg, R. C., Getz, G., & Thomas, J. S. (2001). Customer Equity: Building and Managing Relationships as Assets. Harvard Business School Press. ISBN: 978-0875847191 |
| Другие названия≠ | SOW Analysis, Share-of-Wallet Measurement, Wallet Share Analysis, Wallet Allocation Rule | CLV, LTV, Customer Value |
| Связанные≠ | 4 | 5 |
| Сводка≠ | Share of wallet (SOW) analysis measures the proportion of a customer's total category spending that a particular brand or firm captures, shifting attention from how many customers a firm has to how much of each customer it owns. Unlike overall market share, share of wallet is a customer-level loyalty metric: a customer might buy from you regularly yet give most of their category budget to a competitor, a vulnerability that absolute sales figures hide. Bruce Cooil, Timothy Keiningham, Lerzan Aksoy and colleagues established in longitudinal work that changes in customer satisfaction drive changes in share of wallet, moderated by customer characteristics. Building on this, Keiningham and colleagues introduced the Wallet Allocation Rule, which predicts a customer's share of wallet from how the brand ranks against the competitors that customer uses and how many brands they use, arguing that relative rank, not absolute satisfaction, is what governs spending allocation. Share of wallet analysis thus combines measurement (estimating each customer's category spend and the slice you capture) with a predictive rule that turns competitive standing into expected wallet share, helping firms find growth inside their existing customer base. | 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. |
| ScholarGateНабор данных ↗ |
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