
AI-Powered B2B Marketing
Develop AI-Enabled Strategies and Practices for Maximum Impact
- English
- ePUB (mobile friendly)
- Available on iOS & Android
About this book
How can mid-career B2B marketers effectively harness AI to build strategy and drive career impact?
AI-Powered B2B Marketing offers clear, practical frameworks for professionals to implement AI technologies confidently and strategically. Backed by real-world examples and expert insights from global leaders including Epsilon, CACI UK and UrSpectr, this guide demystifies AI integration across B2B marketing. From powering market research to embedding ethical AI practices, it equips marketers to optimize every stage of the buyer journey while developing skills that elevate career credibility.
You'll learn how to:
- Develop strategic AI-driven frameworks tailored for B2B marketing
- Implement actionable tools for lead generation, nurturing and account management
- Apply principles of ethical AI use within marketing strategies
- Optimize technology selection to align with business objectives
Written by marketing innovator Simon Hall, this authoritative guide helps marketers transform B2B strategies, delivering measurable results and positioning you for career growth.
Themes include: AI integration in B2B marketing, Strategic frameworks and models, Ethical AI application, Career development and impact, Real-world case studies
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Information
Table of contents
- List of figures and tables
- About the author
- Preface
- Introduction
- PART ONE AI-based market and customer research
- 01 AI-powered market research
- 02 AI for customer insights
- PART TWO Awareness and content marketing
- 03 AI-powered advertising
- 04 AI and SEO
- 05 Content marketing
- PART THREE AI lead generation and lead nurturing
- 06 AI and account prospecting
- 07 Lead capture and AI
- 08 AI-powered lead nurturing
- PART FOUR AI for optimizing customer relationships
- 09 Personalization and AI
- 10 Conversational technology
- 11 B2B events and AI
- 12 AI for customer retention marketing
- PART FIVE AI management and planning
- 13 Data and privacy
- 14 Ethics
- 15 AI-powered analytics
- 16 Marketing operations and AI
- 17 Technology planning
- Index