Author: Ava Patterson
Ava is a San Francisco-based marketing tech writer with a decade of hands-on experience covering the latest in martech, automation, and AI-powered strategies for global brands. She previously led content at a SaaS startup and holds a degree in Computer Science from UCLA. When she's not writing about the latest AI trends and platforms, she's obsessed about automating her own life. She collects vintage tech gadgets and starts every morning with cold brew and three browser windows open.
Vector databases now power personalization and AI search at scale — here’s what brand marketers need to know before buying one.
CRM-connected measurement is replacing third-party attribution—here’s the technical framework for a unified identity and event model.
A 12-month audit of GA4’s AI Assistant channel reveals which ChatGPT and Gemini referrals actually convert, and which are attribution noise.
Saleoid and FirstHive’s Eddie are reshaping B2B lead prioritization with AI scoring — here’s what buyers need to vet before signing.
BERA.ai and PurpleLab both promise cross-channel clarity, but mid-market brands need to know which measurement model actually fits their budget and stack.
6sense’s RevOps platform award signals a shift toward unified pipeline attribution — here’s what marketing ops teams should actually do about it.
Kill-switch certification is becoming the procurement gate for autonomous marketing AI—here’s how brands should actually evaluate it.
A practical framework for CMOs auditing agentic AI media-buying error rates, two years into autonomous bidding, before renewal season locks in bad math.
A year in, Databricks CustomerLake’s agentic CDP claims meet real budget scrutiny — here’s what actually delivered.
A practical protocol for catching AI hallucinations before autonomous campaign agents publish false product claims and trigger regulatory risk.