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Full Description
The rapid evolution of AI offers unprecedented opportunities for B2B marketers to improve efficiency and increase impact, but also presents significant challenges for B2B marketing professionals who must understand and deploy these technologies effectively.
This book works to demystify AI for B2B marketers, providing those at a mid-senior level with clear, practical frameworks for integration, backed by real-world examples and expert insights from global companies such as Danfoss, American Express, IBM and Schneider Electric. From exploring how AI can power market, competitor and customer research, to the ethics of using AI and how to embed it into your overarching B2B marketing strategy, this book delivers everything a B2B marketer needs to know about using AI in their marketing.
Written by market-leading expert Simon Hall, AI Powered B2B Marketing, explores how AI can transform every aspect of the B2B marketing strategy including content on lead generation and nurturing, the buyer journey and awareness phase and on engaging and managing accounts. It also covers how to review and select the right technology for the job and explains the future trends marketers need to keep an eye on to stay ahead of the curve.
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
