Basket (0)
Wishlist (0)
Your personal newsletter
__

Advances in Digital Marketing in the Era of Artificial Intelligence

Case Studies and Data Analysis for Business Problem Solving
 
Edition number: 1
Publisher: CRC Press
Date of Publication:
 
Normal price:
Publisher's listprice:
GBP 110.00
Estimated price in HUF:
53 130 HUF (50 600 HUF + 5% VAT)
Why estimated?
 
Your price:
42 504 (40 480 HUF + 5% VAT )
discount is: 20% (approx 10 626 HUF off)
Discount is valid until: 30 June 2024
The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
Click here to subscribe.
 
Availability:
Not yet published.
 
Add to basket
  Piece(s)

 
Short description:

This book highlights the technological advances that are transforming the future of digital marketing and covers important areas of research in this field. The book demonstrates advances in digital marketing as well as tools, techniques, methods and strategies based on artificial intelligence. 

Long description:

This book highlights the technological advances that are transforming the future of digital marketing and covers important areas of research in this field. The book demonstrates advances in digital marketing as well as tools, techniques, methods and strategies based on artificial intelligence. It also identifies gaps in research into effective digital marketing tools, techniques and methods, and it bridges the interaction between digital marketing strategies and organisations? business plans, on the one hand, and customer relations, on the other, in the age of artificial intelligence.



This book presents the concepts and applications of digital marketing in the age of artificial intelligence to readers in a comprehensive manner. The book highlights the major breakthroughs and technologies in digital marketing for effective interaction, analysis, prediction and design to formulate the best strategy for a business by using artificial intelligence solutions. This enables specialists to apply advances in digital marketing in the age of artificial intelligence in the right way to serve customers and solve business problems in this competitive age.



Covering the intersection of marketing and artificial intelligence, this book is a first-rate reference and an indispensable resource for business leaders, academics, salespeople, marketing professionals, managers, business owners, researchers, practitioners, instructors, college and university libraries, students, consultants, businesspeople, computer scientists, and customer-focused institutions.

Table of Contents:

1. AI and Advertising: Unraveling the Dynamics of Consumer Behavior and Brand Engagement. 2. Enhancing Customer Experience through AI-Enabled Content Personalization in E-Commerce Marketing. 3. Redefining Marketing Strategies for Higher Education through AI Applications: A Critical Review. 4. Enhancing Customer Targeting in E-Commerce and Digital Marketing through AI-Driven Personalization Strategies. 5. Current Advances on the Application of Blockchain Solutions in Digital Marketing: Opportunities and Threats. 6. Analysis and Result Prediction for Indian Premier League Using Machine Learning Algorithms. 7. Study of Factors Affecting Intention to Use Artificial Intelligence by Marketers: A ChatGPT Case. 8. The Effectiveness of Using Artificial Intelligence Techniques in Advertising on Social Media. 9. The Impact of Blockchain on Digital Commerce. 10. Chatbots ? A Computerized Communication Specialized Device. 11. Artificial Intelligence and More Effective Advertising: Unlocking the Power of Data and Automation. 12. Chatbot and Digital Communication. 13. Are You Real? When Anthropomorphism Misleads the Consumer. 14. Natural Language Processing to Track Cognitive, Emotional and Social Change on Reddit Mental Health and Non-Mental Health Groups during Covid-19. 15. Do Consumers Favour a Social Presence When Using Voice Chatbots? 16. The Moderating Role of Perceived Interaction in a Chatbot?s Impact on Conversational Commerce: From Intention to Usage to Actual Usage. 17. Role of Technology for Pharmaceutical Marketing in the Era of Artificial Intelligence: A Bibliometric Study. 18. Market Segmentation: Machine Learning in Marketing with Clustering Model.