Author: Ava Patterson
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.
OpenAI’s ad expansion into 31 European markets creates a new buy — here’s what brands should verify before shifting budget.
We stress-tested FirstHive’s Eddie engine to see if de-identified visitor matching actually sharpens campaign precision or just adds another black box.
Stale identity graphs quietly kill B2B pipeline. Here’s how to run identity resolution like an ops function, with real freshness SLAs.
Gartner’s 2026 Hype Cycle treats AI marketing as a governance issue, not a tooling one. Here’s the CMO action plan.
A technical breakdown of how the Wunderkind-Cordial merger reshapes anonymous traffic de-identification for mid-market retail brands.
Wunderkind and Cordial’s merged identity engine promises scaled de-anonymization — here’s what brands must verify before trusting the match rates.
A root-cause breakdown of AI agent media-buying error rates, showing exactly where autonomous bidding fails and human review still wins.
A practical framework for deciding if your AI agents need a dedicated knowledge graph or can run on an extended CDP.
Why brands must build approval workflows and content provenance controls before scaling AI marketing automation, not after.
GA4, Adobe, and Amplitude handle AI-referred traffic differently — here’s which platform actually attributes generative search revenue correctly.