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.
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.
A practical framework for building AI-powered quizzes that capture zero-party data, cut CAC, and future-proof targeting without cookies.
What brand and marketing leaders should demand from Salesforce, HubSpot, and Zoho as autonomous agents take over CRM workflows.
AI creative testing platforms promise higher CTR at lower cost — here’s what the data actually shows brands before you cut your editing team.
A practical framework for spend caps and circuit breakers that stop agentic AI media buying errors before they drain budgets.
A practical comparison of Recast, Prescient AI, and Northbeam for mid-market brands choosing an MMM tool that survives budget scrutiny.
How to build a weekly LLM citation dashboard that tracks brand mentions across ChatGPT, Gemini, and Perplexity without draining your team’s time.
AI marketing co-pilots now handle strategy, content, and analytics for solo marketers—here’s how to evaluate them against a real agency retainer.