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.
Google’s AI Mode now recommends products directly. Here’s how brands must restructure feeds to win placement in autonomous shopping answers.
Vertical ML decision engines like FirstHive’s Eddie are outperforming general CDPs on prediction accuracy, speed, and compliance.
One in six AI media-buying actions still needs a human fix. Here’s a governance framework for setting smart override thresholds.
Zero-click search now eats half of product queries, and default GA4 attribution is quietly misreporting where your budget actually works.
AI answer engines are reshaping how buyers discover brands — here’s a framework for content that wins both algorithmic and human trust.
TikTok’s real-name IP verification reshapes seller compliance, fraud risk, and identity infrastructure for every merchant on the platform.
Zig.ai’s knowledge graph model challenges legacy CDPs on autonomous revenue decisioning—here’s how the two actually compare on ROI and risk.
A practical framework for stress-testing identity resolution vendors’ 90%+ match rate claims before you bet post-cookie attribution on them.
GetHookd promises ad hooks in seconds. Here’s when that’s enough for small-business ads and when you still need a real agency.
AI Max’s 10-click A/B testing compresses budget approval cycles, forcing brand media buyers to rethink governance before speed outpaces oversight.