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.
Sitefinity’s Generative CMS award signals a shift toward AI-managed content lifecycles — and new governance risks brands must plan for now.
How marketing ops teams should evaluate AI-native CRM predictive models, comparing point solutions against integrated suites on accuracy, cost, and risk.
A technical framework for comparing AI-native CRM predictive models, helping marketing ops choose between point solutions and integrated suites.
A practical technical guide to first-party server-side data capture for identity resolution as third-party cookies disappear.
Multimodal generative AI promises one brief, four outputs — but brands need a framework to judge quality, cost, and compliance risk before scaling it.
HelloFresh-style ML models predict customer lifetime value in real time, letting brands shift creator spend before campaigns underperform.
A hands-on comparison of Affable and Traackr on conversion tracking, attribution, and workflow — not just discovery and reporting.
#paid, Grapevine Village, and The Cirqle diverge sharply on conversion attribution — here’s which one actually proves sales impact.
A practical buyer’s guide to evaluating Wunderkind’s identity graph and Cordial’s AI-native CDP for mid-market cross-channel personalization.
MCP and A2A standards are changing what “integration-ready” means in MarTech, and vendor selection criteria need to catch up fast.