What Is AI Marketing Automation? An Infrastructure Take
AI marketing automation reads behavioral signals to trigger lifecycle email flows at the moment of intent. What engineering teams need to know about the stack.
6 articles by Petra Hollins.
-
-
AI Marketing Case Studies: What the Traces Actually Show
Real metrics from AI marketing case studies: send-time optimization, signal-driven segmentation, and subject line generation examined.
-
AI Marketing Skills That Actually Survive Production
The AI marketing skills worth building go beyond prompt syntax. Signal quality, trigger architecture, and Bayesian testing rigor determine whether AI personalization survives in production.
-
What Is GEO and What It Does to Your Activation Pipeline
GEO is the practice of getting your SaaS cited in AI-generated answers. It changes the behavioral profile of inbound traffic and every timing assumption in your activation lifecycle sequences.
-
AI Agent vs Chatbot: What Changes in Your Email Stack
The AI agent vs chatbot debate gets reduced to marketing. For an email stack, the real line is whether the system can write back to your ESP, or only suggest what to send.
-
AI Agent Examples: From Reflex Agents to Multi-Agent
AI agent examples spanning email lifecycle triggers, fraud detection, and customer support: what teams have deployed at scale, what broke, and which patterns survived contact with real systems.
