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.
Six months of data on TikTok Symphony Agent vs manual whitelisting reveals where AI matching wins, and where human judgment still pays.
Q3 deployment data shows AI media-buying agents still need human override on 1 in 6 decisions—here’s what that means for budgets and risk.
Zefr’s AI brand-adjacency engine scores UGC feeds in real time — here’s how CMOs should evaluate it before shifting spend.
A vendor scorecard for retail media shoppable video platforms turns Q4 guesswork into a defensible, ROI-driven budget decision.
A practical framework for CMOs evaluating XR ONE-style ad-ops platforms on budget prediction, rights management, and format recommendation.
Predictive budget tools promise smarter ad spend, but only real-time tracking proves whether AI recommendations actually lift ROAS.
A practical framework for turning one piece of creator content into optimized assets for social, streaming, and retail media without rebuilding from scratch.
XR ONE’s format-prediction accuracy beats in-house ad-ops guesswork for mid-market retail brands—here’s the data-backed comparison.
Otter, Fireflies, and Fathom compared on action-item accuracy and CRM sync, so marketing teams stop losing decisions to bad notes.
Algorithmic pricing without disclosure invites regulatory and PR risk—here’s how brands should build dynamic pricing transparency into every program.