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.
Autonomous bidding is rewriting the media buyer’s job description — here’s what skills actually matter now that agents run the auctions.
A vendor-neutral look at AI creator-brand matching platforms, and how brands should evaluate affinity scores before trusting them with budget.
Snapchat’s Smart Assistant automates goal-to-campaign ad building. Here’s how it stacks up against Meta Advantage+ for brand budgets and control.
A technical breakdown of how TikTok Symphony converts brand video into shoppable ads, and what media buyers must verify before scaling spend.
Zero-click search is killing referral traffic. Here’s how to build proxy attribution models that prove brand ROI in AI-generated answers.
A practical buyer’s guide to agentic attribution in Salesforce, HubSpot, and Zoho — what’s real, what’s roadmap, and how to evaluate it.
One year into the LSE/Into-it autonomous marketing pilot, the results reveal exactly where full automation works and where it breaks.
Before Q4 budgets lock, audit your brand’s share of model across ChatGPT, Gemini, and Claude to protect visibility where buyers now search.
A practical framework for catching AI hallucinations in autonomous media buying before they distort attribution data and torch budgets.
A practical framework for brands without data scientists to evaluate AI-powered media mix modeling platforms without getting burned.