Statistical Methods in Customer Relationship Management
Statistical Methods in Customer Relationship Management

Author: V. Kumar

Publisher: John Wiley & Sons

Published: 2012-07-26

Total Pages: 227

ISBN-13: 1118349199

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Statistical Methods in Customer Relationship Management focuses on the quantitative and modeling aspects of customer management strategies that lead to future firm profitability, with emphasis on developing an understanding of Customer Relationship Management (CRM) models as the guiding concept for profitable customer management. To understand and explore the functioning of CRM models, this book traces the management strategies throughout a customer’s tenure with a firm. Furthermore, the book explores in detail CRM models for customer acquisition, customer retention, customer acquisition and retention, customer churn, and customer win back. Statistical Methods in Customer Relationship Management: Provides an overview of a CRM system, introducing key concepts and metrics needed to understand and implement these models. Focuses on five CRM models: customer acquisition, customer retention, customer churn, and customer win back with supporting case studies. Explores each model in detail, from investigating the need for CRM models to looking at the future of the models. Presents models and concepts that span across the introductory, advanced, and specialist levels. Academics and practitioners involved in the area of CRM as well as instructors of applied statistics and quantitative marketing courses will benefit from this book.

Data Mining Techniques in CRM
Data Mining Techniques in CRM

Author: Konstantinos K. Tsiptsis

Publisher: John Wiley & Sons

Published: 2011-08-24

Total Pages: 288

ISBN-13: 1119965454

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This is an applied handbook for the application of data mining techniques in the CRM framework. It combines a technical and a business perspective to cover the needs of business users who are looking for a practical guide on data mining. It focuses on Customer Segmentation and presents guidelines for the development of actionable segmentation schemes. By using non-technical language it guides readers through all the phases of the data mining process.

Data Mining Techniques
Data Mining Techniques

Author: Michael J. A. Berry

Publisher: John Wiley & Sons

Published: 2004-04-09

Total Pages: 671

ISBN-13: 0471470643

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Many companies have invested in building large databases and data warehouses capable of storing vast amounts of information. This book offers business, sales and marketing managers a practical guide to accessing such information.

STATISTICAL METHODS FOR QUALITY, RELIABILITY AND MAINTAINABILITY
STATISTICAL METHODS FOR QUALITY, RELIABILITY AND MAINTAINABILITY

Author: K. MURALIDHARAN

Publisher: PHI Learning Pvt. Ltd.

Published: 2012-05-16

Total Pages: 365

ISBN-13: 8120345436

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A fine blend of the three disciplines, viz. quality, reliability and maintainability, this book provides a clear understanding of the concepts and discusses their applications using statistical tools and techniques. The concepts are critically assessed and explained to enable their use for management decision-making. The book describes many current topics such as six sigma, capability maturity model integration (CMMI), process data management, reliability system models, repairable system models, maintainability assessment and design and testing concepts. It is intended as a textbook for the undergraduate students of Mechanical Engineering and Production and Industrial Engineering. The book will also be useful to the postgraduate students of Applied Statistics, Quality and Reliability, and Quality and Productivity Management as well as to the management and engineering professionals. KEY FEATURES : Provides charts and plots to explain the concepts discussed. Gives an account of most recent developments. Gives illustrations of practical situations where tools can be applied immediately. Interspersed with plenty of worked-out examples to reinforce the concepts. Includes chapter-end exercises to drill the students in self-study.

Marketing Analytics
Marketing Analytics

Author: José Marcos Carvalho de Mesquita

Publisher: Routledge

Published: 2021-11-01

Total Pages: 224

ISBN-13: 1000481743

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Marketing Analytics provides guidelines in the application of statistics using IBM SPSS Statistics Software (SPSS) for students and professionals using quantitative methods in marketing and consumer behavior. With simple language and a practical, screenshot-led approach, the book presents 11 multivariate techniques and the steps required to perform analysis. Each chapter contains a brief description of the technique, followed by the possible marketing research applications. One of these applications is then used in detail to illustrate its applicability in a research context, including the needed SPSS commands and illustrations. Each chapter also includes practical exercises that require the readers to perform the technique and interpret the results, equipping students with the necessary skills to apply statistics by means of SPSS in marketing and consumer research. Finally, there is a list of articles employing the technique that can be used for further reading. This textbook provides introductory material for advanced undergraduate and postgraduate students studying marketing and consumer analytics, teaching methods along with practical software-applied training using SPSS. Support material includes two real data sets to illustrate the techniques’ applications and PowerPoint slides providing a step-by-step guide to the analysis and commented outcomes. Professionals are invited to use the book to select and use the appropriate analytics for their specific context.

Customer Relationship Management
Customer Relationship Management

Author: Francis Buttle

Publisher: Routledge

Published: 2009

Total Pages: 495

ISBN-13: 1856175227

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This title presents an holistic view of CRM, arguing that its essence concerns basic business strategy - developing and maintaining long-term, mutually beneficial relationships with strategically significant customers - rather than the operational tools which achieve these aims.

Artificial Intelligence for Customer Relationship Management
Artificial Intelligence for Customer Relationship Management

Author: Boris Galitsky

Publisher: Springer

Published: 2021-01-08

Total Pages: 445

ISBN-13: 9783030521660

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This research monograph brings AI to the field of Customer Relationship Management (CRM) to make a customer experience with a product or service smart and enjoyable. AI is here to help customers to get a refund for a canceled flight, unfreeze a banking account or get a health test result. Today, CRM has evolved from storing and analyzing customers’ data to predicting and understanding their behavior by putting a CRM system in a customers’ shoes. Hence advanced reasoning with learning from small data, about customers’ attitudes, introspection, reading between the lines of customer communication and explainability need to come into play. Artificial Intelligence for Customer Relationship Management leverages a number of Natural Language Processing (NLP), Machine Learning (ML), simulation and reasoning techniques to enable CRM with intelligence. An effective and robust CRM needs to be able to chat with customers, providing desired information, completing their transactions and resolving their problems. It introduces a systematic means of ascertaining a customers’ frame of mind, their intents and attitudes to determine when to provide a thorough answer, a recommendation, an explanation, a proper argument, timely advice and promotion or compensation. The author employs a spectrum of ML methods, from deterministic to statistical to deep, to predict customer behavior and anticipate possible complaints, assuring customer retention efficiently. Providing a forum for the exchange of ideas in AI, this book provides a concise yet comprehensive coverage of methodologies, tools, issues, applications, and future trends for professionals, managers, and researchers in the CRM field together with AI and IT professionals.

Customer Relationship Management Strategies in the Digital Era
Customer Relationship Management Strategies in the Digital Era

Author: Nas?r, Süphan

Publisher: IGI Global

Published: 2015-03-31

Total Pages: 340

ISBN-13: 1466682329

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In today’s global economy, social media and technological advances have changed the way businesses interact with their clientele. With new forms of communication and IT practices, companies seek innovative practices for maintaining their consumer loyalty. Customer Relationship Management Strategies in the Digital Era blends the literature from the fields of marketing and information technology in an effort to examine the effect that technological advances have on the interaction between companies and their customers Through chapters and case studies, this publication discusses the importance of achieving competitive advantage through implementing relationship marketing practices and becoming consumer-centric. This publication is an essential reference source for researchers, professionals, managers, and upper level students interested in understanding customer loyalty in a technology-focused society.

Building a Brand Image Through Electronic Customer Relationship Management
Building a Brand Image Through Electronic Customer Relationship Management

Author: Naim, Arshi

Publisher: IGI Global

Published: 2022-06-30

Total Pages: 383

ISBN-13: 1668453886

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Effective e-customer relationship management is imperative for increasing customer satisfaction, online sales, website patronage, loyalty, and retention. To understand exactly how this business strategy can be applied to enhance business operations, further study on its various benefits, opportunities, and challenges is required. Building a Brand Image Through Electronic Customer Relationship Management develops electronic customer relationship management strategies for achieving customer satisfaction and explains the concepts and uses of electronic customer relationship management to meet strategic objectives, improve customer loyalty, and build brand image. Covering topics such as marketing, brand equity, customer loyalty, and social media, this reference work is ideal for business owners, managers, entrepreneurs, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.

Citizen Relationship Management
Citizen Relationship Management

Author: Alexander Schellong

Publisher: Peter Lang

Published: 2008

Total Pages: 268

ISBN-13: 9783631578445

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This study explores Customer Relationship Management (CRM) in government. Based on an interdisciplinary literature review and multiple-case study design, a model of Citizen Relationship Management (CiRM) is developed and discussed. The case studies explore the perceptions of CRM/CiRM by administrators, elected officials and consultants as well as its implementation and impact on the municipal level and in a multijurisdictional environment in the United States. Although the explorative part of the study focuses broadly on a theoretical conceptualization of CiRM, the immediate empirical referent of research are the 311 initiatives in the City of Baltimore, the City of Chicago, the City of New York and Miami-Dade County. Thus, the results help administrators and researchers to convey the idea and challenges of 311 well. The study shows that CRM is to a certain extent only partly able to make novel contributions to currently active reform movements in government. In addition, the study's findings support the idea that CiRM provides the means to a different kind of public participation.