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.
Third-party cookies are gone. Here’s how brands use zero-party data collection through AI-enhanced CRM to rebuild attribution that actually holds up.
A practical procurement scorecard for evaluating agentic AI vendors in media buying, covering risk, governance, and ROI proof points.
Reddit cut spam 20% and killed 2M fake votes daily with AI moderation — here’s what brand community managers should steal from it.
Practical Ecommerce’s AI marketing playbook has real signal, but brands need to separate genuine shifts from relabeled 2019 tactics.
Chatbots are pulling wrong hours, closed locations, and dead phone numbers from your Google Business listings. Here’s how to audit before it costs you sales.
Google’s 2026 AI search guidance rewrites the rules — here’s how to blend classic SEO with generative search marketing without losing rankings.
A CMO’s skeptical breakdown of Google’s 76% ROAS lift claim for agentic media buying, and how to actually stress-test it.
Agentic AI now rewrites bids and creative mid-campaign without human sign-off — here’s what marketers must monitor to avoid costly drift.
Reddit’s anti-spam AI offers brands a blueprint for scalable content quality control across UGC, influencer posts, and AI-generated assets.
A practical framework for vetting AI-matched creator vendors in 2026, covering match logic, brand safety, attribution, and contract red flags.