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.
A practical comparison of AI format-prediction tools and how they route budget to CTV, social, or display before you commit spend.
A cost-per-variant breakdown of Sora, Veo 3, and Runway Gen-4 to help brand teams pick the right AI video suite at scale.
TikTok Symphony Agent and Meta Advantage+ automate creator-adjacent campaigns differently — here’s how brand buyers should evaluate governance and risk.
Agentic ad-ops platforms promise full-funnel automation, but real visibility demands audit trails, kill-switches, and human checkpoints.
Nearly half of marketers cite budget approval delays as a top bottleneck. Here’s how AI workflow tools claim to fix it, and where they fall short.
More AI creative variants often dilute performance instead of lifting it. Here’s how brand teams should actually scale creative testing.
Pause-ads inventory breaks device-based ID resolution. Here’s how to stress-test streaming identity vendors before your next upfront commitment.
Brands now demand a kill-switch standard before signing autonomous media-buying vendors, turning risk mitigation into a procurement requirement.
How to evaluate AI tools that predict CTV, social, or display performance before you commit budget—without buying vendor hype.
A brand’s guide to evaluating AI creative testing tools that generate and score thousands of ad variants before your team wakes up.