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.
Databricks CustomerLake vs traditional CDPs, compared on real-time segmentation, cost, and identity resolution for brand marketing teams.
A practical, feature-by-feature comparison of AI fraud detection vendors for creator vetting, built for brands weighing risk against budget.
Before chasing AI citations, marketing ops teams need structured data, entity clarity, and crawl access. Here’s the real checklist.
Why brands blending creator attribution and incrementality testing outperform those chasing last-click credit alone.
We tested Vendasta’s autonomous AI social media manager against real SMB workflows to see if it can replace a marketing hire.
A technical breakdown of Hightouch’s Adaptive Identity Resolution for marketing ops teams evaluating identity infrastructure, match rates, and ROI.
Salesforce Agentforce 360 and Adobe Sensei take different paths to agentic attribution — here’s which one fits your creator stack.
Adobe’s Agent Orchestrator in Real-Time CDP reshapes campaign governance, giving mid-size brands enterprise-grade control without enterprise headcount.
Why brands are building AI model registries to track which tool touched every asset, cutting legal, brand, and compliance risk.
Gradial-style AI marketing operating systems promise fewer vendors but raise new lock-in risks. Here’s how to evaluate the tradeoff.