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.
Learn how to build one generative search reporting view by blending Search Console, CRM, and content data into a single revenue-focused dashboard.
GA4’s Top Referrers report reveals how AI assistants drive traffic — here’s how to compare their engagement against traditional channels.
A practical framework for evaluating agentic AI marketing platforms that turn CRM, CDP, and attribution data into automated campaigns.
Google’s Ask Ad Manager shifts brand marketers from campaign operators to AI supervisors, raising new oversight and compliance stakes.
With fake follower rates near 37%, brands need rigorous frameworks to evaluate AI fraud-detection platforms before signing creator deals.
A brand-side comparison of AI identity resolution vendors for livestream commerce CAC and LTV scoring, from Whatnot to Amazon Live.
Amazon’s tiered creator roster model pairs macro-to-emerging pipelines with automated attribution scoring to cut wasted influencer spend.
Zero-click search now eats half of all queries. Here’s how brands should rebuild content strategy when the blue link is optional.
A practical framework for evaluating AI attribution platforms that blend MTA and MMM for creator campaign measurement.
AI search engines read structured data, not marketing copy — here’s how to prepare product feeds for citation in B2C and B2B AI search.