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 CMO’s field guide to telling real autonomous ad systems from repackaged automation before the next renewal cycle.
GroundTruth and Markup AI are reshaping ad targeting and content quality control—here’s how brands should evaluate both before committing budget.
Pipedrive’s Outfunnel acquisition bakes marketing automation into its CRM, reshaping the build-vs-buy calculus for small business buyers.
BERA.ai and PurpleLab show why AI-enhanced marketing mix modeling is replacing last-click attribution for cross-channel measurement.
A practical framework for comparing Fluency, GetResponse, and Lob’s automation architectures before you consolidate your marketing stack.
Vector databases now power personalization and AI search at scale — here’s what brand marketers need to know before buying one.
CRM-connected measurement is replacing third-party attribution—here’s the technical framework for a unified identity and event model.
A 12-month audit of GA4’s AI Assistant channel reveals which ChatGPT and Gemini referrals actually convert, and which are attribution noise.
Saleoid and FirstHive’s Eddie are reshaping B2B lead prioritization with AI scoring — here’s what buyers need to vet before signing.
BERA.ai and PurpleLab both promise cross-channel clarity, but mid-market brands need to know which measurement model actually fits their budget and stack.