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.
Most MarTech vendors claim MCP support. Here’s a practical scorecard for verifying real cross-agent interoperability before you build on someone else’s roadmap.
One vendor, one AI marketing operating system, one budget line — or one very expensive mistake? Here’s how to weigh the tradeoffs.
Nano-creator programs blur into baseline demand noise—here’s how to evaluate MMM platforms that actually isolate true sales lift.
Cookies are dying and AI agents are shopping on your customers’ behalf — here’s how to pick a server-side tracking stack that survives both.
Databricks CustomerLake challenges traditional CDPs on agentic segmentation, governance, and cost — here’s how brand teams should evaluate the switch.
A practical comparison of AI fraud-detection vendors for influencer vetting, covering bot farms, engagement pods, and fake follower scoring.
How AI-powered performance reporting dashboards flag when to shift creator spend between nano and micro tiers, and which tools actually deliver.
Automated bidding optimizes for attributed conversions, not real lift. Here’s why incrementality needs to be a live, holdout-tested companion metric.
A practical audit framework for structured data readiness, built for brands chasing visibility in Google’s product-discovery AI assistants.
A practical framework for building a GEO scorecard that tracks brand visibility across ChatGPT, Gemini, and Perplexity ahead of Q4 budgets.