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.
LayerFive claims 40%+ match rates on CTV attribution versus 5-15% industry baselines. Here’s what brands should verify before buying in.
A technical checklist for auditing your MarTech stack so products surface accurately in ChatGPT and Gemini shopping results.
AI-driven multi-touch attribution promises precision, but evergreen creator content resists tidy measurement windows. Here’s how to reconcile both.
Predictive creative performance scoring uses AI to forecast which creator content converts, cutting wasted paid spend before campaigns launch.
AI-native ad copy and visuals are flooding MarTech suites. Here’s what brand teams must verify before trusting the output.
A practical, no-hype comparison of AI audience recommendation engines for paid social and where manual media planning still wins in 2026.
A governance checklist marketers need before letting agentic AI control audience targeting and auto-bidding across paid channels.
Comparing LiveRamp, Permutive, and InfoSum clean room approaches to help brands pick a cookieless identity strategy that actually holds up.
A practical audit framework for unifying paid-search, paid-social, and e-commerce data before scaling AI on a broken foundation.
A technical buyer’s guide to Wunderkind’s identity-resolution engine inside Cordial, covering match rates, latency, and compliance risk.