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 marketing clean room comparison of Habu, LiveRamp, and InfoSum for brands matching creator audiences without violating privacy law.
A practical framework for scoring AI vendor renewals on real ROI, not feature bloat, before contract negotiations begin.
GA4, Adobe Analytics, and Amplitude each attribute generative search revenue differently — here’s what brand teams need to verify before trusting the dashboard.
Multi-model LLM routing is quietly inflating martech bills through redundant calls. Here’s how to audit and fix it.
AI agent memory persistence in CRM is replacing session-based personalization with durable customer context — here’s how to evaluate it.
Gartner’s 40% agentic AI failure forecast isn’t a reason to retreat—it’s a budgeting framework CMOs should use before 2026 planning.
Adaptive martech fails when profile data is incomplete. Here’s a practical audit framework to find and fix the gaps before AI agents act on them.
Most identity resolution demos stop at match rates. Here’s how to evaluate vendors on whether resolved identities actually predict revenue.
Before scaling agentic AI marketing, brands are auditing cross-system data governance to avoid compounding errors across platforms.
Static templates can’t keep pace with AI personalization at scale — here’s how brands are rebuilding creative workflows for real-time relevance.