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.
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.
A practical framework for evaluating AI-driven customer journey orchestration platforms before committing enterprise budget and data infrastructure.
Vibe-coded AI tools feel fast, but without martech integration they fragment data, break attribution, and stall ROI.
A brand-side breakdown of franchise marketing platforms, comparing AI targeting and dynamic localization tools for multi-location ROI and compliance.
A resilient martech stack pairs identity resolution with real-time event data, letting campaigns adjust themselves before budgets get wasted.