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 five-layer martech stack model that helps marketing leaders audit their architecture, cut redundant tools, and fix broken data flows.
Generative search marketing is siphoning brand mentions into AI answers, and monitoring budgets haven’t caught up. Here’s the fix.
Modern MMM platforms blend deterministic and probabilistic attribution to stop double-counting touchpoints and protect budget decisions.
Rockerbox, Northbeam, and Triple Whale battle for cross-channel identity stitching supremacy — here’s which one actually earns its keep.
iPaaS tools like Zapier and Workato now sit in the critical path of revenue workflows — and most stacks aren’t monitoring them like it.
ActiveCampaign and Nutshell now bake predictive send-time and AI email drafting into SMB plans—here’s what that means for your martech stack.
Salesforce’s Twilio Segment bet signals that CRM-CDP fusion is now table stakes for AI journey orchestration, not a nice-to-have.
A buyer’s framework for evaluating real-time A/B testing infrastructure for native in-app creative, from latency to attribution to vendor lock-in.
AI agents now compress creator vetting from weeks to hours—here’s how to evaluate them without trading speed for brand risk.
CPM tells you nothing about UGC production efficiency. Here’s how to build a cost-per-usable-asset framework that actually informs budget decisions.