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.
CPM on qualified reach tools promises cleaner influencer buys, but the math only works if you vet the filters behind it.
A practical framework for benchmarking cost per save and cost per inbound conversation across Instagram, TikTok, Pinterest, and YouTube.
Geo lift testing tools promise clean incrementality proof, but brand buyers need to vet methodology before trusting the lift number.
A practical comparison of holdout testing platforms that help brands prove incremental influencer sales and defend budgets with real data.
Behavior prediction AI scores creators on conversion likelihood before contracts sign, cutting wasted spend and guesswork from influencer budgets.
A practical consent hygiene framework for auditing AI-driven influencer outreach before spam complaints become regulatory headaches.
Clean room data platforms let brands measure creator campaign ROI without exposing customer data, but setup costs and match rates vary wildly.
ChatGPT strips UTM parameters from shared links, silently breaking influencer attribution models that brands rely on to prove ROI.
Generative AI video tools are outpacing disclosure rules, forcing brands to rethink compliance before regulators force the issue.
AI shopping agents now buy without clicks. Here’s how brands must restructure creator content so agents can parse, trust, and cite it.