Augmenting Customer Retention Through Big Data Analytics
1st Edition
Published on 6. December 2024
350 pages
978-1-040-16639-0 (ISBN)
Description
Most businesses today are embracing digital transformation and automation, deploying the processes of data analytics in combination with advanced technologies for customer retention using such techniques as marketing automation, digital marketing, machine learning (ML), blockchain, generative AI, and robotics. This new book discusses a wide range of topics related to big data customer analytics and its application for customer retention.
It covers important topics on the use of big data in business, including personalization and customization of products and services, segmentation, digital marketing, customer relationship management, loyalty programs, and customer loyalty and retention and more. The book provides examples and case studies that demonstrate how big data is changing the customer loyalty scenario in a highly digitalized world. The book also addresses using big data analytics in areas such as metaverse, government bodies, and fashion retail.
Key features:
Provides valuable insights on formulating customer retention strategies using big data analytics
Discusses the application of big data for reducing churn rate
Demonstrates strategies for using big data analytics to improve efficiency and customer service
With its diverse and comprehensive coverage, this book offers academics, marketers, human resource managers, students, as well as industrial practitioners a guide to using the exciting technology of big data for customer retention.
It covers important topics on the use of big data in business, including personalization and customization of products and services, segmentation, digital marketing, customer relationship management, loyalty programs, and customer loyalty and retention and more. The book provides examples and case studies that demonstrate how big data is changing the customer loyalty scenario in a highly digitalized world. The book also addresses using big data analytics in areas such as metaverse, government bodies, and fashion retail.
Key features:
Provides valuable insights on formulating customer retention strategies using big data analytics
Discusses the application of big data for reducing churn rate
Demonstrates strategies for using big data analytics to improve efficiency and customer service
With its diverse and comprehensive coverage, this book offers academics, marketers, human resource managers, students, as well as industrial practitioners a guide to using the exciting technology of big data for customer retention.
More details
Language
English
Place of publication
Milton
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Illustrations
4 Line drawings, color; 15 Line drawings, black and white; 6 Halftones, black and white; 4 Illustrations, color; 21 Illustrations, black and white
File size
6,62 MB
ISBN-13
978-1-040-16639-0 (9781040166390)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Reena Malik | Ambuj Sharma | Prashant Chaudhary
Augmenting Customer Retention Through Big Data Analytics
Book
12/2024
1st Edition
Apple Academic Press Inc.
€239.50
Shipment within 3-4 weeks
Persons
Reena Malik, PhD, is currently working as Assistant Professor at Chitkara Business School at Chitkara University, Punjab, India. She is actively involved in research areas such as consumer behavior, brand management, customer satisfaction, etc. She has three books to her credit and has been teaching subjects in her field for the last 10 years. She has published research papers and book chapters with many prestigious publishers. She holds a PhD in Marketing Management and did her postgraduate work in Commerce and Management.
Ambuj Sharma, PhD, is currently working as Assistant Professor at the Govind Ballabh Pant Social Science Institute Alumni Association, Prayagraj, UP, India. His research areas are diversity management, human resources practices, and disability studies. He has published many papers in international journals (SCOPUS and WoS indexed) and presented papers at international conferences (Hungary, France, Poland, Slovakia, Italy, Austria, and Czech Republic). He acquired his doctoral degree in Management and Business Administration Sciences from Szent Istvan University, Hungary. Prior to his PhD, he completed his master's in Business Studies from AMET/Alagappa University, India.
Prashant Chaudhary, PhD, is currently working as Associate Professor at the WPU School of Business at Dr. Vishwanath Karad MIT World Peace University, Pune, India. He has authored two books and also published many research papers and case studies in internationally reputed journals, indexed in ABDC, Scopus, and Web of Science. He is associated with several book publishers as a content reviewer. He is a reviewer with the journals Marketing and Management of Innovations; Asian Journal of Management Cases; and Green and Low-Carbon Economy. He has been awarded with an Innovative Educator Award, conferred by the Valia Centre of Excellence (Mumbai), in collaboration with The Hindu Business Line, and he holds an honorary Rosalind Membership.
Ambuj Sharma, PhD, is currently working as Assistant Professor at the Govind Ballabh Pant Social Science Institute Alumni Association, Prayagraj, UP, India. His research areas are diversity management, human resources practices, and disability studies. He has published many papers in international journals (SCOPUS and WoS indexed) and presented papers at international conferences (Hungary, France, Poland, Slovakia, Italy, Austria, and Czech Republic). He acquired his doctoral degree in Management and Business Administration Sciences from Szent Istvan University, Hungary. Prior to his PhD, he completed his master's in Business Studies from AMET/Alagappa University, India.
Prashant Chaudhary, PhD, is currently working as Associate Professor at the WPU School of Business at Dr. Vishwanath Karad MIT World Peace University, Pune, India. He has authored two books and also published many research papers and case studies in internationally reputed journals, indexed in ABDC, Scopus, and Web of Science. He is associated with several book publishers as a content reviewer. He is a reviewer with the journals Marketing and Management of Innovations; Asian Journal of Management Cases; and Green and Low-Carbon Economy. He has been awarded with an Innovative Educator Award, conferred by the Valia Centre of Excellence (Mumbai), in collaboration with The Hindu Business Line, and he holds an honorary Rosalind Membership.
Content
1. Personalization and Customization of Products and Services in E-Commerce Through Big Data 2. Unleashing Big Data and Its Role in Retaining Customers 3. The Role of Big Data in Modern Markets for Personalizing and Tailoring Products and Services 4. Segmentation and Customer Satisfaction: A Study of Insurance Sector 5. The Underlying Foundation for the E-Commerce Customer Shopping Experience Edge with Big Data Analytics 6.Marketing and Retaining Customers in the World of Brazen Bullshit: Analyzing the Post-Truth Scenario Effect on Strategic Communication 7. Big Data as a Tool for Digital Marketers 8. Big Data and Customer Retention with Real-Life Examples from Companies 9. Impact of Big Data Analytics on Customer Relationship Management 10. Influence of Big Data on Customer Relationship Management in Real Estate 11. New Age Communication: Social Media Marketing and Big Data 12. Innovating Products and Services Using Big Data 13. Revamping Internal Customer Experience (ICX) with AI 14. Big Data: The Covert Artillery Backing Customer Loyalty Programs 15. Role of Big Data Analytics in Enhancing Customer Experience 16. Role of Big Data in Customer Acquisition and Retention 17. Personalization and Customization of Governance Products and Services for Citizens Using Big Data Analytics and Artificial Intelligence 18. Retention in the Metaverse: Customer Engagement Using Big Data 19. What Lies in Big Data for Customer Retention? Analyzing the Past, Present, and Future
