Author: 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.
Cybersecurity’s zero-trust model is reshaping marketing attribution—here’s how identity-based access controls cut fraud and boost data trust.
61% of marketers use AI for media planning, yet most cap spend under 20%. Here’s what’s really driving the trust gap.
GetHookd and Runable both promise full-funnel AI ad creative, but they solve different problems. Here’s how to pick.
Google’s AI Overviews and OpenAI cite content differently. Here’s how brands should structure content to earn visibility in both.
Meta’s Advantage+ Andromeda update promises real-time signals for creator ads. Here’s what the data actually shows brands before they reallocate budget.
Hospitality’s AI recommendation engines are rewriting product discovery — here’s what CPG and retail brands must do to stay visible.
Brands now use generative AI to test dozens of ad hooks pre-spend, cutting media waste and speeding up creative decisions.
Alibaba’s generative AI ad suite promises fast APAC entry, but brands need to vet localization depth, data compliance, and true ROI first.
Sentiment-driven content distribution rewards trust over reach — here’s how to evaluate AI platforms without torching brand safety.
A practical map of the AI-native creative production stack — from ideation to multi-format output — for brands scaling content without scaling headcount.