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 technical breakdown of Reddit’s AI anti-spam system and what it means for brands planning seeding campaigns this quarter.
Why the CMO role is splitting into dual leadership models, the AI skills gap widening beneath it, and what marketing leaders must build now.
As third-party cookies fade, CTV identity resolution vendors take wildly different privacy paths — here’s how to evaluate the tradeoffs.
Brands are deploying AI pre-screening tools to catch mislabeled creator content before platform AI-disclosure rules trigger penalties.
Adobe, Salesforce, and Google approach AI data governance differently — here’s what brands need to demand before signing.
A practical framework for setting spend guardrails on agentic ad platforms, with approval thresholds that balance speed and risk.
A practical framework for evaluating AI brand safety tools across Reddit, TikTok, and YouTube comments before your next crisis hits.
AI marketing operating systems promise unified control, but brands must weigh consolidation gains against lock-in risk before ditching best-of-breed stacks.
A practical guide to configuring AI disclosure settings across Google, Meta, and TikTok ad managers to cut compliance risk.
LiveRamp, Experian, and Google take different paths to CTV identity resolution. Here’s how brands should evaluate match rates, privacy risk, and lock-in.