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.
One year into the LSE/Into-it autonomous marketing pilot, the results reveal exactly where full automation works and where it breaks.
Before Q4 budgets lock, audit your brand’s share of model across ChatGPT, Gemini, and Claude to protect visibility where buyers now search.
A practical framework for catching AI hallucinations in autonomous media buying before they distort attribution data and torch budgets.
A practical framework for brands without data scientists to evaluate AI-powered media mix modeling platforms without getting burned.
Gradial’s agentic orchestration links Adobe, Salesforce, and ServiceNow, but does it cut vendor complexity or just lock you deeper into three ecosystems?
Autonomous programmatic buying promises efficiency, but Magnite and MediaOcean’s agentic tools still need human guardrails to protect ROI.
Reddit’s AI anti-spam system cut fake engagement 20%. Here’s what its technical design means for brand safety and seeding strategy.
Databricks CustomerLake, Salesforce Data Cloud, and Adobe Real-Time CDP tested against the demands of agentic marketing execution.
AI adoption in marketing has surged, but performance scores are flat — the real problem is broken data foundations, not weak models.
A practical guide to configuring GA4 to separate AI assistant referral traffic from standard organic search, with exact steps.