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.
A practical framework for vetting AI auto-segmentation tools built on cause-marketing and petition-enrollment audience data.
Estée Lauder’s global creator vetting shows how AI-powered enterprise discovery platforms cut compliance risk at scale—here’s the operational playbook.
Checkmate-style AI platforms win by reading intent signals, not by churning content—here’s how to evaluate them before you buy.
Wunderkind’s identity resolution and Cordial’s cross-channel orchestration solve anonymous traffic differently. Here’s which fits your stack.
Vendors promise 90%+ match rates, but brands need to verify methodology, decay rates, and audit rights before signing a post-cookie identity contract.
A practical comparison of autonomous decision engines that act on Customer 360 data — and how to evaluate risk before removing human sign-off.
Okara’s AI CMO v2 challenges traditional CDP architecture on real-time identity resolution—here’s how mid-market brands should evaluate the tradeoffs.
Zig.ai and Improvado tackle B2B’s long sales cycles differently — one bets on AI reasoning, the other on data pipeline depth. Here’s how they compare.
Before signing a GEO retainer, brands should demand proof of citation lift, methodology transparency, and platform-specific reporting.
Vertical ML engines like FirstHive’s Eddie are replacing human campaign builders for next-best-action decisions. Here’s what that means for your team.