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 practical framework for evaluating composable CDPs that unify creator profiles in real time, without the vendor lock-in.
Agentic AI can draft briefs and optimize spend, but can it manage creator relationships? We test the tools and the gaps.
Reconstructed customer journeys let AI bidding recover revenue that cookie consent gaps hide, turning lost signal into usable margin.
Marketing mix modeling and incrementality testing are merging into one AI system, closing the gap between media plans and real revenue.
A practical roadmap for brand teams rolling out autonomous AI agents in creator marketing, with governance steps and risk checkpoints.
Target ROAS built on profit margins, not revenue, is rewriting how brands bid on creator campaigns in generative search.
Data quality audits expose the broken creator data that sabotages AI workflows before brands ever see a return on their investment.
AI marketing budgets keep climbing in 2026, but measurement frameworks haven’t caught up, leaving brands exposed to real financial risk.
Agentic AI creative engines can generate thousands of micro-segment ad variants, but only disciplined guardrails keep brand voice intact at scale.
Agentic AI workflow tools promise faster creator payouts and tighter rights compliance, but which ones actually deliver without new risk?