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 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.
Unified identity resolution now stitches first-, second-, and third-party signals into one graph, giving marketers attribution they can actually trust.
CompTIA’s AI for Marketing Essentials certification, reviewed for whether it builds real practitioner skill or just checks a resume box.
A practical framework for evaluating agentic AI workflow engines that automate real-time personalization, minus the vendor hype.
A practical framework for deciding when agentic suite consolidation cuts risk and when best-of-breed still wins on ROI.