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 technical buyer’s guide to AI identity resolution that closes the retail-media sales-lift gap in creator attribution.
RAG is cutting hallucinated sales-lift numbers in AI creator reports, giving brands verifiable ROI instead of confident guesses.
A practical 2026 vendor comparison for AI audience-authenticity scoring platforms, built to help brands vet creator rosters before spend.
A practical framework for evaluating AI-native CDPs that unify TikTok Shop, retail media, and CRM data into one incrementality model.
A governance framework for letting agentic AI media buyers react to spontaneous-purchase signals without blowing up brand safety or budgets.
Circana, NielsenIQ, and native retail media tools all claim to prove creator ROAS — but they measure different things. Here’s how to choose.
Small language models cut ad personalization costs by up to 90%, but frontier LLMs still win on nuance. Here’s the 2026 tradeoff.
A practical AI vendor due-diligence checklist for marketers battling 37% fake follower rates and unreliable creator fraud data.
Marketers are automating media buys but not trust — 45% still require human sign-off. Here’s why, and what closes the gap.
Model substitution clauses let AI vendors swap GPT-5 for cheaper models without telling you. Here’s how to audit contracts before it costs you.