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“Customer Lifetime Value” as a book category focuses on how organizations measure, predict, and grow the long-term net profit generated by each customer. Titles typically explain CLV fundamentals and formulas (retention curves, discounting, NPV), data and modeling techniques (segmentation, cohort analysis, survival/probabilistic models, machine learning), and how to translate the metric into decisions about acquisition, retention, pricing, loyalty, and personalization. Readers learn to connect CLV to unit economics and financial planning—think CAC-to-LTV ratios, budgeting, and valuation—through frameworks, experiments, and dashboards. Many books include case studies from e-commerce, subscription/SaaS, retail, and services, emphasizing tactics to reduce churn and drive upsell and cross-sell. The category serves marketers, growth leaders, product managers, analysts, and executives seeking customer-centric, profitable growth.

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