A martech practitioner analyzes CDP architecture, vendor selection and agentic AI, drawing on twenty years of building and fixing martech stacks. Issues cover data sovereignty in regulated industries, using vendor filings and DORA for due diligence, and how to lead selections with use cases.

Alan Chatfield offers analysis of AI industry developments and their implications for digital marketing and enterprise technology. Issues examine personal AI agents, decision-focused models, and shifting AI vendor pricing and positioning.

Deep-dive essays on AI, martech and data that apply frameworks such as systems thinking to marketing and growth problems. Readers get explanations of retention math, agentic commerce protocols and marketing attribution, with worked examples and cited market data.

Martechnext covers the business of AI in marketing, including who builds and funds it and how industries apply it. Its issues offer analytical commentary on conversational commerce, AI search referral patterns, and predictive intent, with practical takeaways for marketers.