The AI Marketing Canvas: A FiveStage Road Map to Implementing Artificial Intelligence in Marketing,New

The AI Marketing Canvas: A FiveStage Road Map to Implementing Artificial Intelligence in Marketing,New

In Stock
SKU: DADAX150361316X
Brand: Stanford Business Books
Regular price$37.66
Quantity
Add to wishlist
Add to compare

Processing time: 1-3 days

US Orders Ships in: 3-5 days

International Orders Ships in: 8-12 days

Return Policy: 15-days return on defective items

Payment Option
Payment Methods

Help

If you have any questions, you are always welcome to contact us. We'll get back to you as soon as possible, withing 24 hours on weekdays.

Customer service

All questions about your order, return and delivery must be sent to our customer service team by e-mail at yourstore@yourdomain.com

Sale & Press

If you are interested in selling our products, need more information about our brand or wish to make a collaboration, please contact us at press@yourdomain.com

This book offers a direct, actionable plan CMOs can use to map out initiatives that are properly sequenced and designed for successregardless of where their marketing organization is in the process.The authors pose the following critical questions to marketers: (1) How should modern marketers be thinking about artificial intelligence and machine learning? and (2) How should marketers be developing a strategy and plan to implement AI into their marketing toolkit?The opening chapters provide marketing leaders with an overview of what exactly AI is and how is it different than traditional computer science approaches. Venkatesan and Lecinski, then, propose a bestpractice, fivestage framework for implementing what they term the 'AI Marketing Canvas.' Their approach is based on research and interviews they conducted with leading marketers, and offers many tangible examples of what brands are doing at each stage of the AI Marketing Canvas. By way of guidance, Venkatesan and Lecinski provide examples of brandsincluding Google, Lyft, Ancestry.com, and CocaColathat have successfully woven AI into their marketing strategies. The book concludes with a discussion of important implications for marketing leadersfor your team and culture.

⚠️ WARNING (California Proposition 65):

This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.

For more information, please visit www.P65Warnings.ca.gov.

  • Q: What is the main focus of 'The AI Marketing Canvas'? A: The book focuses on providing a practical, five-stage roadmap for CMOs to implement artificial intelligence in their marketing strategies.
  • Q: Who are the authors of this book? A: The authors are Raj Venkatesan and Jim Lecinski, both of whom are experts in marketing and AI.
  • Q: When was 'The AI Marketing Canvas' published? A: The book was published on May 18, 2021.
  • Q: How many pages does the book have? A: The book contains 272 pages.
  • Q: What type of binding does the book have? A: This edition of the book is available in hardcover binding.
  • Q: Is the book suitable for beginners in AI marketing? A: Yes, the book is designed to provide clear insights and frameworks that are accessible to both beginners and experienced marketers.
  • Q: Does the book provide real-world examples of AI in marketing? A: Yes, it includes case studies from brands like Google, Lyft, Ancestry.com, and Coca-Cola, showcasing how they successfully integrate AI into their marketing strategies.
  • Q: What framework does the book propose for implementing AI in marketing? A: The authors propose a best-practice, five-stage framework called the 'AI Marketing Canvas'.
  • Q: What are some key questions addressed in the book? A: The book addresses critical questions such as how modern marketers should think about AI and how to develop strategies for its implementation.
  • Q: Is this book suitable for marketing leaders and CMOs? A: Yes, it is specifically tailored for marketing leaders, offering actionable insights and guidance for implementing AI in their organizations.

Recently Viewed