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.
Captions drive 40%+ of watch time on silent-autoplay feeds, so picking the wrong AI transcription tool quietly taxes every video budget.
A brand-side guide to comparing brand loyalty tracking software, why repeat purchase reports disagree, and how to vet tools for accuracy.
Generative media startups promise infinite UGC, but marketers need a vetting framework before trusting them with brand budgets.
What enterprise creator ops platforms actually need to run Amazon or Visa scale influencer programs without compliance or payout chaos.
A practical scorecard for evaluating commerce media networks on margin impact, data access, measurement, and contractual risk before you sign.
AI campaign recommendations are only as reliable as the tagging taxonomy feeding them, and most brands’ tags are a mess.
AI sentiment analysis tools now flag creator partnership decay weeks before churn, giving brands a data-driven early warning system.
Most brands running generative AI A/B testing at scale are declaring winners before they have statistically valid data.
AI content originality checkers catch plagiarism and AI fingerprints, but brands still need a vetting process before copy ships.
A practical buyer’s framework for auditing AI generated marketing content for bias, covering vendor questions, red flags, and ROI risk.