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.
Token-based AI pricing turns marketing budgets into moving targets—here’s why costs spike at scale and how to regain control.
A vendor evaluation framework for AI tools that turn plain-English requests into media buy insertion orders, with risk checks.
On-premise vs cloud-hosted LLMs: a brand-side framework for balancing data residency rules, cost, and speed.
Marketing teams now hire AI prompt auditors to standardize output quality, cut brand risk, and stop departments from reinventing broken prompts.
AI media-planning co-pilots now draft full flowcharts from a single brief. Here’s how to evaluate them without wrecking your workflow.
NVIDIA’s ad-focused AI chips slash inference costs, but brands must audit real-time personalization ROI before chasing the hype.
A practical framework for auditing martech stacks for agentic-function readiness before locking next year’s budget.
CRM vendors now bundle CDP and GEO into one contract. Here’s how to evaluate the deals without overpaying for features you won’t use.
Most AI training programs teach button-pushing, not agentic marketing judgment. Here’s the real skills gap and how to close it.
Google Ads’ AI insights promise smarter optimization, but marketers should separate genuinely useful signals from noise dressed up as strategy.