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.
GetResponse’s Marketing Optimization Award raises a real question: should mid-market brands consolidate martech or stick with point solutions?
Fluency’s award-winning feature set is a map of where automation budgets are heading — here’s how to read it.
Zeta Global and Adobe both promise agentic AI marketing — here’s how CMOs should actually evaluate the two for budget and risk.
Server-side tagging cuts data loss and compliance risk versus client-side pixels — here’s the technical tradeoff marketing ops teams must weigh.
Bundled AI suites cut martech complexity, but best-of-breed tools still win on depth—here’s how to choose without wrecking your stack.
Fluency and Lob both promise automation at scale, but their architectures serve different budgets, teams, and risk tolerances entirely.
A practical framework for blending attribution, MMM, and experimentation as third-party cookies and client-side tracking disappear.
A practical framework for combining attribution, MMM, and experimentation as cookies crumble and tracking accuracy keeps declining.
Amperity’s patented identity resolution merges online and offline signals, forcing brands to rethink attribution accuracy and creator ROI.
Brandi AI’s recognition signals a shift: brands now need answer engine optimization to track citations in ChatGPT and Google AI Overviews.