Enhancing and Predicting Digital Consumer Behavior with AI

Released on by Musiolik, Thomas Heinrich
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  • Enhancing and Predicting Digital Consumer Behavior with AI Book Detail

  • Author : Musiolik, Thomas Heinrich
  • Release Date : 2024-05-13
  • Publisher : IGI Global
  • Genre : Business & Economics
  • Pages : 464
  • ISBN 13 :
  • File Size : 67,67 MB
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Enhancing and Predicting Digital Consumer Behavior with AI by Musiolik, Thomas Heinrich PDF Summary

Book Description: 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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AI Impacts in Digital Consumer Behavior

AI Impacts in Digital Consumer Behavior

File Size : 88,88 MB
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In the ever-evolving landscape of digital innovation, businesses grapple with the challenge of deciphering dynamic consumer behavior. AI Impacts in Digital Cons