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.
Google’s agentic media buying tools are reshaping creator campaign management—here’s what governance policies brands must have in place before they automate.
How to measure revenue influenced by ChatGPT, Gemini, and Claude when there’s no click to track—proxy metrics, holdout testing, and CMO reporting standards explained.
Adobe’s Cannes Lions insight on LLM surface visibility is forcing CMOs to rebuild campaign asset architecture for AI-first discovery across segments and languages.
How brand marketing ops teams should evaluate Gradial’s AI operating system claims, integration depth across Adobe, Salesforce, and Databricks, and vendor lock-in risk before committing budget.
A procurement framework for brand teams to independently verify generative AI ROAS claims before reallocating budget away from proven human creator programs.
OpenAI’s click-based ad product is entering creator-adjacent placements. Here’s how brand teams should evaluate geo-targeting mechanics before committing regional campaign budgets.
Cloudflare data shows 57.4% of web traffic is non-human. Here’s why brand teams must design creator content and product feeds for machine readability first.
A phase-by-phase roadmap for brand leaders redesigning team roles, reporting lines, and human oversight as AI shifts from siloed tools to a fully agentic marketing operating model.
A practical governance framework for CMOs defining which campaign assets can be AI-generated, which need human approval, and which must stay fully human-produced—with a policy template.
Learn how analytics teams can build AI-augmented campaign dashboards that unify creator touchpoints, paid social signals, and CRM data into a single defensible revenue view.