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 step-by-step framework for brands to audit AI-generated sales attribution claims from creator platforms before trusting the budget to them.
As cookies vanish and AI shopping agents rise, identity resolution vendors are rebuilding their stacks to stay relevant, discoverable, and trusted.
GetResponse vs Fluency compared for brands evaluating their first agentic marketing automation platform, from setup to ROI to risk.
Deploying autonomous campaign tools without the right hires means paying for AI that runs unsupervised into brand risk.
Mid-market brands don’t need enterprise CDPs. Here’s how to weigh vertical ML models against general CDPs without a data science team.
Zapier’s CMO-led AI adoption model reveals how brands should attribute influencer sales to lifetime value, not just last-click conversions.
Zapier’s CMO-led AI model hints at a new playbook for tying influencer sales to lifetime value, not just last-click conversions.
A practical framework for testing agentic CRM readiness in Salesforce, HubSpot, and Zoho before AI agents touch live customer data.
MCP standardizes how AI tools connect to your data, and picking non-compliant platforms now means costly rebuilds later.
Silent errors from AI video editing agents can slip into paid media undetected—here’s how to build an audit layer that catches them first.