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.
X’s Original Content Rewards pays per engagement, not views — here’s how its payout math and verification rules stack up against TikTok and YouTube.
Unified ad-ops platforms promise less creative waste than point solutions, but the math only works past a certain spend threshold.
TikTok’s own dashboard grades its own homework. Here’s how to compare server-side attribution platforms that prove real sales lift instead.
Databricks CustomerLake vs traditional CDPs: which one actually catches fraudulent influencer traffic before it wrecks your audience segments.
How to evaluate CRM platforms that score creator-driven impulse buys against loyalty data — without breaking attribution or compliance.
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.