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Customer analytics books focus on how organizations use data to understand, acquire, engage, and retain customers. This category spans the collection and unification of customer data (CRM, transactions, web and mobile behavior, social, and service interactions), segmentation and journey mapping, and predictive modeling for lifetime value, churn, propensity, and next best action. Titles range from foundational statistics and experimentation (A/B testing, attribution) to practical guides on personalization, pricing, loyalty, and campaign optimization, with coverage of dashboards, data visualization, and responsible use of data, privacy, and ethics. Aimed at marketers, analysts, product managers, and business leaders, these books translate insights into improved customer experience and revenue growth, and often feature real-world case studies and technologies such as marketing automation, customer data platforms, and omnichannel measurement across B2C and B2B contexts.

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