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 creator attribution stack that links AI search referrals to CRM revenue turns influencer spend from a guess into a defensible line item.
A practical AI shopping agent readiness audit brands need before Amazon and Google’s universal commerce protocols reshape checkout.
Rising AI agent media-buying error rates are forcing brands to rewrite governance policy — spend caps, audit trails, and kill switches.
A practical governance framework for setting spend caps and bid-error controls before letting agentic AI media-buying platforms run campaigns unsupervised.
Unified ad-ops platforms promise less media waste via automated format prediction. Here’s how to test that claim before you sign.
Amazon’s Universal Commerce Protocol faces rival agentic checkout standards. Here’s what brands must fix in product feeds now to stay purchasable.
Databricks CustomerLake and Snowflake Native Apps take different paths to agentic segmentation. Here’s which one fits your stack.
AI agent memory persistence separates CRMs that build real customer continuity from ones that just remember your last ticket number.
A practical scorecard for vetting answer engine optimization agencies, so brands buy real AI visibility instead of vanity citation metrics.
Agent-to-agent commerce protocols will force brands to rebuild product feeds around machine trust signals, not keyword optimization.