Augmenting Customer Retention Through Big Data Analytics (eBook, ePUB)

Redaktion: Malik, Reena; Chaudhary, Prashant; Sharma, Ambuj

• Format: ePub

Produktbeschreibung

Details topics related to big data customer analytics and its application for customer retention. Covers topics on the use of big data in businesses that include personalization and customization of products and services, segmentation, digital marketing, customer relationship management, loyalty programs, and customer loyalty and retention.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis
• Erscheinungstermin: 6. Dezember 2024
• Englisch
• ISBN-13: 9781040166390
• Artikelnr.: 72260717

Autorenporträt

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.

Inhaltsangabe

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