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.
Klaviyo, Nutshell, and Insider One all claim AI-native personalization — here’s which one actually delivers for brand and agency teams.
Marketing mix modeling is back, but BERA.ai and PurpleLab challenge legacy vendors on speed, cost, and creative-level insight.
A practical framework for splitting marketing budgets between generative engine optimization and traditional SEO in 2026.
A practical framework for evaluating Netcore.ai’s seven-agent model against single-agent platforms on ROI, risk, and operational fit.
Personalization fails without unified identity. Here’s the technical framework for stitching web, ad, CRM, and sales data into one event model.
Sitefinity, Contentful AI, and Adobe Experience Manager treat governance differently — here’s what that means for your publishing speed and risk exposure.
AI assistants are becoming the default checkout. Here’s how brands should structure product feeds now, before agentic commerce sets the rules.
Wunderkind and Cordial resolve anonymous traffic differently — here’s how to evaluate identity-resolution layers before you commit budget.
AI shopping agents read schema markup, not brand copy. Here’s why structured data now determines whether your products get bought or ignored.
Sitefinity’s Generative CMS award signals a shift toward AI-managed content lifecycles — and new governance risks brands must plan for now.