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 practical comparison of Bambuser, CommentSold, and TalkShopLive to help mid-market brands pick the right livestream commerce platform.
A practical framework for evaluating AI whitelisting platforms, so brands scale creator ad accounts without losing control of spend or compliance.
AI creative fatigue-detection tools now predict when sponsored content will stop converting, days before performance actually drops.
Small language models cut marketing copy costs by up to 90% versus frontier LLMs — here’s when to use them instead of GPT-class models.
Databricks CustomerLake challenges traditional CDPs on real-time segmentation. Here’s how brand teams should evaluate the tradeoffs.
Brands can’t audit LLM training data directly, so here’s how to vet AI vendors on provenance, IP risk, and contractual indemnity.
Before granting spend authority to autonomous media-buying agents, brands need real hallucination detection protocols, not vendor promises.
A practical, no-fluff blueprint for mid-market brands to build cross-channel identity resolution for AI-driven attribution.
GEO fails when sales, product, and support give AI models conflicting facts. Here’s how to unify your source of truth.
Chat-driven product discovery is rewriting search. Here’s how brands structure content so AI assistants recommend them, not competitors.