The AI Marketing Canvas A Five Stage Road Map to Implementing Artificial Intelligence in Marketing 1st Edition by Raj Venkatesan, Jim Lecinski ISBN 150361316X 978-1503613164

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ISBN 10: 150361316X
ISBN 13:  978-1503613164
Author: Raj Venkatesan, Jim Lecinski

This book offers a direct, actionable plan CMOs can use to map out initiatives that are properly sequenced and designed for success―regardless 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 best-practice, five-stage 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 brands―including Google, Lyft, Ancestry.com, and Coca-Cola―that have successfully woven AI into their marketing strategies. The book concludes with a discussion of important implications for marketing leaders―for your team and culture.

The AI Marketing Canvas A Five-Stage Road Map to Implementing Artificial Intelligence in Marketing 1st Table of contents:

Introduction

1. The Rise of Artificial Intelligence in Marketing

   • Why AI is Transforming Marketing
   • The Role of AI in Modern Marketing Strategies
   • Key Benefits and Challenges of AI Implementation

2. Overview of the AI Marketing Canvas

   • What Is the AI Marketing Canvas?
   • Understanding the Five-Stage Road Map
   • How This Framework Helps Marketers Implement AI

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Part 1: Stage 1 – Discovering AI Opportunities

3. Identifying AI-Driven Marketing Opportunities

   • The Fundamentals of AI in Marketing
   • How to Spot AI Opportunities in Your Marketing Strategy
   • Case Studies of Successful AI Implementations

4. Defining Business Objectives for AI

   • Aligning AI with Marketing Goals
   • Prioritizing Marketing Needs and Identifying Key KPIs
   • Setting Measurable Outcomes for AI Applications

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Part 2: Stage 2 – Developing an AI Strategy

5. Building the AI Marketing Strategy

   • Defining the Role of AI in Your Marketing Ecosystem
   • Choosing the Right AI Technologies for Your Needs
   • Integrating AI into Your Existing Marketing Channels

6. Data Strategy: The Foundation of AI Marketing

   • Importance of Data in AI Marketing
   • Collecting, Storing, and Managing Marketing Data
   • Leveraging Big Data for AI Insights

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Part 3: Stage 3 – Designing AI-Powered Campaigns

7. Creating AI-Driven Customer Experiences

   • Personalizing Marketing with AI
   • Chatbots, Voice Assistants, and Conversational AI
   • Using AI to Enhance Content Creation and Distribution

8. Automation and Predictive Analytics

   • Automating Marketing Workflows with AI
   • Implementing Predictive Analytics for Campaign Optimization
   • Real-Time Personalization with AI

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Part 4: Stage 4 – Implementing AI Technologies

9. AI Tools and Platforms for Marketers

   • Choosing the Right AI Tools for Marketing Implementation
   • Overview of Leading AI Platforms and Technologies
   • Integrating AI with Existing Marketing Systems

10. Building and Scaling AI Marketing Solutions

    • Scaling AI Solutions Across Multiple Marketing Channels
    • Overcoming Technical and Organizational Challenges
    • Best Practices for Implementation and Integration

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Part 5: Stage 5 – Measuring and Optimizing AI Marketing Efforts

11. AI Performance Measurement and Analytics

    • Tracking AI Campaign Effectiveness
    • Key Metrics for AI Marketing Success
    • Real-Time Adjustments and Continuous Improvement

12. Optimizing AI for Maximum Impact

    • Iterating and Refining AI Marketing Campaigns
    • Leveraging Feedback Loops for Optimization
    • Future Trends: How AI Marketing Will Evolve

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Conclusion

13. The Future of AI in Marketing
    • Preparing for the Next Generation of AI Marketing
    • Key Takeaways from the AI Marketing Canvas
    • Moving Forward: Building an AI-Driven Marketing Culture

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Appendices

• A. AI Marketing Resources and Tools
• B. Further Reading on AI and Marketing Technology
• C. Glossary of AI and Marketing Terms

Index

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