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 decision-intelligence dashboard swaps vanity metrics for CAC, sales lift, and customer equity so influencer budgets follow proof, not applause.
On-device AI cuts retail personalization latency but breaks attribution chains — here’s how to architect around it.
A 2026 cost model comparing in-house fine-tuned marketing LLMs against vendor API licensing, with real breakeven math for mid-market brands.
A buyer’s guide to choosing an AI marketing benchmarking dashboard that standardizes share-of-model tracking across ChatGPT, Gemini, and Perplexity.
An agent-to-agent commerce readiness audit shows brands why messy product feeds will make them invisible to AI shopping agents.
Reddit’s AI anti-spam system cut fake engagement 20%, offering brand safety teams a blueprint for auditing platform trust signals.
We tested Google’s Ask Ad Manager chatbot against real campaign tasks to find where its autonomy actually stops.
We tested Google’s Ask Ad Manager chatbot against real campaign tasks to find where its autonomy ends and human oversight begins.
AI agents are already negotiating vendor terms — here’s how brands should restructure contracts, oversight, and risk before autonomy outpaces governance.
As generative AI compute costs spiral, marketing teams are borrowing FinOps discipline to forecast, allocate, and defend AI budgets.