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.
AI model interoperability standards are reshaping MartTech procurement—here’s what brands need to know before locking into another vendor contract.
Generative search is breaking last-click attribution — here’s how to rebuild lookback windows for AI referral traffic without losing budget clarity.
Brands are rethinking where AI-enriched identity data lives — here’s how to decide between a CDP, a warehouse, or both.
A practical guide to AI-powered marketing mix modeling tools built for mid-market teams without a data science department.
AI visibility trackers now measure “share of model” against rivals — here’s how brands should evaluate them and act on the data.
A vendor-evaluation framework for global brand teams comparing AI voice cloning platforms for localized ad dubbing on cost, risk, and quality.
RAG architecture cuts hallucinated claims from AI creator briefs and product copy, reducing legal risk and rework for brand content teams.
A practical vetting framework for AI agent marketplace governance before third-party plugins touch media budgets or creator contracts.
A practical comparison of AI fraud-detection vendors for influencer vetting, with what to demand before you sign.
A practical governance template for agentic media buying spend caps, covering circuit breakers, escalation tiers, and audit trails.