Author: 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 hands-on comparison of #paid, Grapevine Village, and The Cirqle on conversion attribution accuracy for mid-market brand budgets.
A practical framework for building an AI agent escalation protocol before autonomous bidding tools touch live creator campaign budgets.
A widening AI adoption confidence gap threatens 2026 budgets—here’s a trust-building framework to defend spend with credible proof.
Most “AI-native” marketing vendors fail basic cross-agent data exchange tests. Here’s how to audit interoperability before you buy.
A technical breakdown of how TikTok’s Symphony Agent converts brand videos into shoppable ads, and what media buyers should audit before scaling.
A technical buyer’s guide comparing Databricks CustomerLake, Segment, and Tealium for agentic data warehouse migration decisions.
Amazon’s Universal Commerce Protocol is rewriting product feed rules — here’s what brands must fix before AI shopping agents shop without them.
MCP and A2A are the AI agent interoperability standards that determine whether your martech stack talks to itself—or fails silently.
Klaviyo, GetResponse, and Fluency’s award-winning automation shows exactly where AI marketing budgets are shifting in 2026.
A practical audit framework for vetting RAG vendors before scaling AI-assisted product copy, with checklists to catch hallucinations early.