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.
Marketers love AI for optimization but won’t hand over budget control. Here’s why the trust gap exists and how to close it responsibly.
Levanta’s rate engine automates affiliate commission benchmarking for UGC deals — here’s what brands need to vet before adopting it.
WARC’s audience-signal framework shows why age-and-gender targeting fails AI creative systems, and what brands should measure instead.
A step-by-step guide to running a 10-click A/B test on AI Max for Search, so budget and ROI decisions rest on data, not guesswork.
Two years into AI marketing agent adoption, 45% still underdeliver — the root cause isn’t the model, it’s your data foundation.
Wunderkind, Cordial, and Klaviyo take different paths to de-anonymizing web traffic. Here’s which fits your stack when third-party cookies finally die.
LayerFive, Rockerbox, and Northbeam take different paths to unify MTA and MMM — here’s which one fits your data maturity and budget.
Identity-based attribution now touches cybersecurity’s turf—here’s how to build governance before compliance gaps become budget-killers.
A practical framework for evaluating CRM-integrated AI lead-scoring tools and where autonomous outreach genuinely shortens sales cycles.
AI overlay citation rules now decide which video content gets surfaced, cited, and trusted—here’s how brands need to adapt their SEO strategy.