Enhancing and Predicting Digital Consumer Behavior with AI

Download or Read eBook Enhancing and Predicting Digital Consumer Behavior with AI PDF written by Musiolik, Thomas Heinrich and published by IGI Global. This book was released on 2024-05-13 with total page 464 pages. Available in PDF, EPUB and Kindle.
Enhancing and Predicting Digital Consumer Behavior with AI
Author :
Publisher : IGI Global
Total Pages : 464
Release :
ISBN-10 : 9798369344545
ISBN-13 :
Rating : 4/5 (45 Downloads)

Book Synopsis Enhancing and Predicting Digital Consumer Behavior with AI by : Musiolik, Thomas Heinrich

Book excerpt: Understanding consumer behavior in today's digital landscape is more challenging than ever. Businesses must navigate a sea of data to discern meaningful patterns and correlations that drive effective customer engagement and product development. However, the ever-changing nature of consumer behavior presents a daunting task, making it difficult for companies to gauge the wants and needs of their target audience accurately. Enhancing and Predicting Digital Consumer Behavior with AI offers a comprehensive solution to this pressing issue. A strong focus on concepts, theories, and analytical techniques for tracking consumer behavior changes provides the roadmap for businesses to navigate the complexities of the digital age. By covering topics such as digital consumers, emotional intelligence, and data analytics, this book serves as a timely and invaluable resource for academics and practitioners seeking to understand and adapt to the evolving landscape of consumer behavior.


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