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.
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.
X’s Original Content Rewards pays per engagement, not views — here’s how its payout math and verification rules stack up against TikTok and YouTube.
Unified ad-ops platforms promise less creative waste than point solutions, but the math only works past a certain spend threshold.
TikTok’s own dashboard grades its own homework. Here’s how to compare server-side attribution platforms that prove real sales lift instead.
Databricks CustomerLake vs traditional CDPs: which one actually catches fraudulent influencer traffic before it wrecks your audience segments.
How to evaluate CRM platforms that score creator-driven impulse buys against loyalty data — without breaking attribution or compliance.