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.
A vendor checklist for testing CRM-native AI agents before trusting them with customer data and campaign decisions.
Early adopters reveal how a proper AI governance layer keeps autonomous marketing decisions fast, compliant, and accountable at scale.
Generative AI now rewrites search ad copy in real time, adapting to inventory, seasonality, and geo-signals—here’s what brand teams need to control.
Before deploying autonomous campaign tools, audit your MarTech stack for API depth, data hygiene, and permission gaps that break agentic workflows.
A cost-per-output breakdown of AI video generation suites for small agencies, comparing pricing, output quality, and hidden costs.
Warehouse-native identity unification is replacing CDPs and stitched graphs, giving brands cleaner attribution without the data-sharing risk.
AI models now shift influencer budgets toward creators with provable booking and sales data, cutting waste and proving ROI.
L2T’s dealership rollout shows how brands should stress-test AI creative tools for geo-targeted seasonal offers before scaling.
Meta’s new three-dot ‘About This Ad’ menu changes how brands must disclose AI-assisted creative. Here’s the technical breakdown.
TikTok’s C2PA-backed AI-labeling expansion changes how brands must audit sponsored video — here’s the compliance playbook.