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.
Klaviyo Composer, Braze, and Salesforce Agentforce take different paths to agentic send-time optimization. Here’s which one actually cuts operational risk.
Wunderkind and Cordial’s merged identity engine de-identifies web traffic, giving brands cross-channel creator attribution without third-party cookies.
Stablecoin payout rails on YouTube and Meta are forcing brands to rethink creator payment vendors around speed, cost, and compliance.
A practical guide to configuring cross-domain identity resolution so AI browser shopping sessions match cleanly to CRM purchase records.
Autonomous next-best-action platforms promise real-time e-commerce personalization, but brands must audit governance, data freshness, and ROI before scaling.
AI-driven identity graphs are cutting wasted ad spend by triggering cross-channel campaigns on unified, high-confidence customer signals.
How to evaluate AI localization engines for creator content dubbing, weighing lip-sync accuracy, latency, and brand voice risk.
Before letting autonomous decision engines trigger campaigns unsupervised, marketers must verify data lineage, guardrails, and rollback controls.
A practical framework for evaluating data clean room platforms so brands can match identity and prove attribution without touching raw PII.
GA4’s AI Assistant traffic category demands new dashboards. Here’s how brands should structure reporting to prove generative-engine ROI.