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Full Description
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 mid-senior professionals to implement AI technologies confidently and strategically. Backed by real-world examples and expert insights from global leaders like IBM, American Express, Danfoss and Schneider Electric, 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
Contents
Chapter - 00: Introduction to AI and AI's impact on B2B Marketing
Section - ONE: AI based market and customer research
Chapter - 01: AI for Market Research
Chapter - 02: AI for Customer Insights
Section - TWO: Awareness and Content Marketing
Chapter - 03: Using AI in the Awareness Phase
Chapter - 04: Search Engine Marketing and AI
Chapter - 05: B2B Content Marketing and AI
Section - THREE: AI Lead Generation and Lead Nurturing
Chapter - 06: AI for Account Identification and Research
Chapter - 07: Lead Capture
Chapter - 08: AI Powered Lead Nurturing
Section - FOUR: AI for Optimizing Customer Relationships
Chapter - 09: Personalization Through AI
Chapter - 10: Conversational AI
Chapter - 11: AI and Customer Events, Webinars
Chapter - 12: AI Enabled Retention Marketing
Section - FIVE: AI Management and Planning
Chapter - 13: Data Privacy
Chapter - 14: Ethical use of AI
Chapter - 15: AI-Powered Performance Measurement
Chapter - 16: Marketing operations and AI
Chapter - 17: AI Technology Review and Selection
