How to Use Customer Data
eBook - ePub

How to Use Customer Data

Navigating GDPR, DPDI and a Future with Marketing AI

  1. 296 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

How to Use Customer Data

Navigating GDPR, DPDI and a Future with Marketing AI

About this book

Data-driven marketing is a huge aspect of any modern-day marketing plan, but balancing customers' privacy concerns with the latest innovations can be a complex challenge.

When done right, data-driven marketing can build customer trust for sustainable long-term value. This is precisely where How to Use Customer Data comes in, by breaking down everything you need to know about this fast-moving field into one simple and easy to read guide.

Designed specifically for marketing professionals, this guide explains the principles of data protection, explores the legal requirements of the GDPR and UK DPDI Bill/Act and provides clarity on exactly what you need to know and do to be compliant whilst also looking at how using data well can improve the customer journey through personalization. Tackling all the hot issues of the moment, this book looks at how digitally mature marketers can work in compliance, how to use clean rooms and pseudonymization to promote trust and the impact AI could have, making it a must-read for all marketing professionals.

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Yes, you can access How to Use Customer Data by Sachiko Scheuing in PDF and/or ePUB format, as well as other popular books in Business & Digital Marketing. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Kogan Page
Year
2024
Print ISBN
9781398615151
eBook ISBN
9781398615168
Edition
1

Table of contents

  1. List of figures and tables
  2. Boxes and case study
  3. About the author
  4. Preface
  5. Acknowledgements
  6. List of acronyms
  7. 1 What is data protection?
  8. 2 What is marketing?
  9. 3 Data protection laws
  10. 4 Classifying personal data
  11. 5 Legal grounds for marketing
  12. 6 Explaining what you do with data with privacy statements
  13. 7 Data protection requests
  14. 8 Working with partners and suppliers
  15. 9 Data security
  16. 10 Templates for GDPR
  17. 11 Data protection officer
  18. 12 AI and marketing
  19. Index