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.
A CRM framework for tracking the “influenced but not clicked” segment — the revenue AI answer engines drive without ever passing a referral.
Salesforce’s Informatica integration puts data cataloguing at the center of real-time AI campaigns — here’s what brands must verify before trusting it.
Meta now counts likes, saves and shares as conversions — here’s how to rebuild your marketing mix model before budgets get misallocated.
Zeotap’s native Snowflake app signals a broader shift: identity resolution that happens where the data already lives, not where vendors want it.
Fake follower rates are climbing again — here’s how brands should evaluate AI fraud detection vendors before the next campaign brief goes out.
A technical checklist for structured data readiness so your brand captures AI answer engine citations before competitors do.
Instagram’s highlights-first shift changes what brands need from AI video tools. Here’s how Synthesia, Runway, and HeyGen stack up.
Gemini’s visual search is rewriting product discovery — here’s how to structure image metadata so AI retrieval systems actually find your products.
Amazon’s agentic ad tools promise podcast audio in minutes, not weeks. Here’s how they stack up against DAI vendors on ROI and risk.
A centralized identity strategy aligns data, tech, and governance so GEO and paid media stop competing for the same customer signal.