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.
Demand Gen Report’s benchmark data exposes why CRM and ad-platform attribution rarely match — and how to build a pipeline that reconciles them.
Meta’s social-action attribution model can inflate ROI reports if misconfigured — here’s how to weight engagement events correctly.
Agentic browsers are quietly becoming shopping agents. Here’s how to audit ChatGPT Atlas and Perplexity Comet for feed discoverability now.
ChatGPT Shopping’s merchant verification requirements demand documentation, feed hygiene, and compliance review before a single product gets listed.
We tested AI agents that turn messy inventory files into TikTok Shop feeds, and only some are worth the merchant risk.
Amazon’s Universal Commerce Protocol is coming for agent-led shopping. Here’s how brands should structure product feeds now, not after launch.
A year-long audit of Databricks CustomerLake’s real-time segmentation claims, tested against actual brand deployments and CDP benchmarks.
Identity-resolution platforms are rebuilding around engagement quality signals to separate real viewers from bot-inflated impressions on autoplay feeds.
A retail-media-attribution dashboard unifies creator sales lift and ROAS into one view, ending the spreadsheet stitching that hides true creator ROI.
A vendor-by-vendor look at AI fraud-detection tools brands need to vet nano-creators before the fake-follower problem drains budgets.