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.
TikTok’s cultural intelligence feedback loop turns real-time community signals into creative AI training data, reshaping brand strategy.
A practical comparison of CRM platforms with native micro-creator affiliate tracking versus standalone attribution tools, weighing cost, accuracy, and control.
Early pilot data shows AI agents negotiating creator rates autonomously — here’s what procurement teams need to know before deploying one.
A practical framework for vetting AI tools that auto-generate affiliate commission structures for micro-creator programs.
Generative AI is pushing creative variant output into the thousands—here’s how brand teams should plan capacity, budget, and QA.
Inside Symphony’s matching logic: how TikTok Go scores creators on audience overlap, brand safety, and content fit before a brand ever sees a name.
Zefr, DoubleVerify, and IAS take different approaches to brand adjacency scoring in creator feeds — here’s how to pick the right one.
A root-cause framework for the 1-in-6 AI media-buying error rate, with fixes brand teams can deploy before the next campaign.
Claude for Financial Services vs OpenAI’s Enterprise Suite: how brand finance and marketing ops teams should evaluate AI vendors for risk, ROI, and control.
A step-by-step CTV audit framework to help brands detect and quantify wasted spend from faulty IP-based targeting.