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 Wunderkind’s identity-resolution engine inside Cordial, covering match rates, latency, and compliance risk.
How to read Onclusive’s GEO Analytics brand perception alerts without overreacting, and where they fit in your attribution stack.
MyAds.Guru’s AI dashboard promises faster review replies for multi-location brands. We tested whether the NLG output actually holds up.
Agentic AI media-buying platforms shift budgets in seconds, so brand performance teams need real governance checkpoints, not blind trust.
Databricks CustomerLake pitches warehouse-native identity resolution against Segment and Tealium. Here’s what mid-market brands should verify first.
A technical breakdown of WealthReach and VastAdvisor’s anonymous-visitor identification model and how brands route intent data into paid media.
Resite’s schema-embedded CMS shows what property and retail product pages need to get cited by ChatGPT and Gemini instead of ignored.
AI revenue agents built on unified knowledge graphs promise faster deals than standalone CDPs, but the deployment model matters more than the model itself.
Comparing Adobe Firefly Services and Runway Gen-4 on brand safety, cost-per-variant, and API depth for enterprise creative production.
Meta’s Andromeda architecture rewards creative signal density. Here’s how brand teams need to rewrite briefs to feed it properly.