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.
How brands should evaluate AI attribution platforms that merge multi-touch attribution and MMM to prove creator spend actually drives revenue.
HubSpot, Salesforce, and Adobe are racing to build native answer engine optimization monitoring. Here’s how their roadmaps actually compare.
A step-by-step guide to configuring GA4’s AI referral tracking so brands can finally compare AI-driven traffic against paid and organic.
A practical 2026 shortlist for evaluating AI-powered marketing mix modeling tools that blend MTA signals without breaking budgets.
A vector database buying framework for brands weighing dedicated infrastructure against their CDP’s semantic search add-on.
Marketing AI underperforms for two distinct reasons — bad data or weak governance. Here’s how to diagnose which one is sabotaging your stack.
Before granting AI agents write-access to CRM data, brands must verify permissions, data lineage, and rollback controls—or risk irreversible damage.
Server-side tagging is now a compliance requirement, not an optimization tactic. Here’s how to configure it before the next privacy wave hits.
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.