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 third of influencer audiences show fraud signals — here’s how AI fraud detection vendors stack up on accuracy, cost, and speed.
A brand-side framework for stress-testing AI creative-adaptation tools before Fashion Week, the World Cup, or the next viral moment hits.
AI product-video generators turn static catalog images into shoppable reels, cutting studio costs and production timelines from weeks to hours.
A brand-side guide to evaluating AI brand-safety filters for shoppable short-form video, with real risk and ROI benchmarks.
A brand-side comparison of ElevenLabs, HeyGen, and Synthesia for multi-language shoppable video, weighing cost, latency, and compliance risk.
A feature-by-feature audit of #paid, Affable, and Influencity’s AI discovery tools, judged on ROI, brand safety, and conversion signal quality.
Revenue attribution is becoming the shared language between martech systems. Here’s how demand gen teams should rebuild identity resolution before 2026 benchmarks land.
A practical framework for separating legitimate GEO analytics webinars from vendor pitches dressed up as measurement education.
A practical framework for testing whether your CRM, CDP, and measurement vendors can actually work together before you sign another renewal.
AI hallucination risk in creator briefs demands a retrieval-augmented verification layer before product claims ever reach influencers.