Intro; Foreword; Contents; Chapter 1: Introduction; 1.1 Customer-Centricity in a Fast-Evolving Landscape; 1.2 Motivation and Objectives of This Book; 1.3 Theoretical Framework: Organizational Architecture; 1.4 Outline of This Book; References; Chapter 2: Customer Analytics: Definitions, Measurement and Models; 2.1 Customer Analytics: Definitions of CP, CLV and CE; 2.2 CLV Formulae: Sources and Variations; 2.3 Applications of CLV in Subscription-Based Business Settings; 2.4 CLV Scorecard and Cohort Analysis: An Application in an SBE; 2.4.1 The CLV Scorecard as a Performance Measurement System.
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2.4.2 Benefits of CLV Scorecard2.4.3 CLV Cohort Analysis: Rationale; 2.4.4 CLV Cohort Analysis: A Practical Illustration; 2.5 Conclusions and Implications; References; Chapter 3: Customer Analytics for Internal Decision-Making and Control; 3.1 Review of Accounting and Marketing Literature; 3.2 Evaluation of the Literature; 3.3 A Case Study on the Adoption of Customer Analytics; 3.3.1 Case Background and Research Methodology; 3.3.2 Organizational Structure; 3.3.3 The Performance Measurement System; 3.3.4 The Reward System; 3.3.5 Conclusions and Implications from the Case Study.
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3.4 An Exploratory Cross-Sectional Survey on the Adoption of Customer Analytics3.4.1 Sample and Data Collection; 3.4.2 Descriptive Statistics and Univariate Analysis; 3.4.3 Multivariate Analysis; 3.4.4 Conclusions and Implications from the Survey; Appendix Chapter 3: Questionnaire; References; Chapter 4: Customer Equity for External Reporting and Valuation; 4.1 Customers as the Most Valuable (Intangible) Asset; 4.2 Customer Franchise Is Missing in IFRS/US GAAP Financial Statements: How to Value It?; 4.3 Describing SBEs Business Model Using Customer Metrics.
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4.4 Valuing SBEs Using Publicly Disclosed Customer Metrics: A Parsimonious Model to Estimate Customer Equity4.5 Customer Equity and Stock Returns: Empirical Evidence; 4.6 Beyond GAAP: Customer Metrics Reporting; References; Chapter 5: Conclusions and Trends to Look Forward; 5.1 Looking Back and Looking Ahead; 5.2 Linking Online with Offline Commerce; 5.3 Enhanced Forms of Corporate Non-financial Reporting; 5.4 The Rising Impact of Artificial Intelligence on Modeling Customer Data; References.
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SUMMARY OR ABSTRACT
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This book is designed to meet the needs of CFOs, accounting and financial professionals interested in leveraging the power of data-driven customer insights in management accounting and financial reporting systems. While academic research in Marketing has developed increasingly sophisticated analytical tools, the role of customer analytics as a source of value creation from an Accounting and Finance perspective has received limited attention. The authors aim to fill this gap by blending interdisciplinary academic rigor with practical insights from real-world applications. Readers will find thorough coverage of advanced customer accounting concepts and techniques, including the calculation of customer lifetime value and customer equity for internal decision-making and for external financial reporting and valuation. Beyond a professional audience, the book will serve as ideal companion reading for students enrolled in undergraduate, graduate, or MBA courses.
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Springer Nature
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com.springer.onix.9783030019716
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Title
Customer Accounting : Creating Value with Customer Analytics.