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.
Batch attribution can’t keep pace with real-time bidding and creator campaigns; here’s how event-streaming pipelines fix marketing ops.
AI adoption in marketing has surged, but most teams lack the skills to use it effectively. Here’s how to close that gap.
Auxia’s Agent Studio promises instant creative briefs, but does auto-generated direction hold up against seasoned strategist judgment?
An AI-assisted discovery workflow turns weeks of nano and micro-influencer vetting into a same-day, defensible shortlist.
AI-driven media buying is fusing search, social, and retail data to prove exactly which creator content drives sales lift.
Levanta’s automated rate engine promises faster affiliate deals, but does it beat manual negotiation for mid-market creator programs?
Claude for Enterprise and OpenAI Enterprise Search Grounding take different paths to fact-checked content. Here’s which one cuts compliance risk.
Gradial-style AI native marketing operating systems promise simpler orchestration, but the lock-in math deserves scrutiny before you sign.
RAG grounds creator briefs in verified product data, cutting hallucinated claims before they reach influencers or regulators.
AI agent interoperability standards like MCP and A2A should drive your CRM and attribution renewal decisions, not vendor roadmaps or sales decks.