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 technical buyer’s guide to the Wunderkind-Cordial merger, evaluating identity resolution claims before you commit budget to de-anonymized messaging.
6sense now pushes intent data into external LLMs, and B2B marketers need a routing and governance plan before scoring goes on autopilot.
As cookies crumble, AI marketing mix modeling is outpacing multi-touch attribution for brands that need budget clarity without identity data.
TikTok Shop’s AI discovery layer now dictates feed visibility—here’s how brands must restructure product data to compete.
Vendors love the phrase “real-time” — here’s a practical framework to test whether their event-based decisioning actually holds up.
Browser privacy limits are forcing marketers off client-side tags; here’s a technical roadmap for migrating to server-side tagging before 2027.
A practical GA4 setup guide for isolating AI-assistant referral traffic so your next QBR reflects reality, not guesswork.
A practical GA4 setup guide for isolating AI-assistant referral traffic before your next QBR, so you stop misreporting ChatGPT and Perplexity visits as direct.
A practical comparison of AI attribution platforms blending multi-touch and marketing-mix modeling to prove creator campaign ROI.
96% of marketers use AI, but only 44% trust their data — here’s the identity-resolution gap causing stalled performance.