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.
Fragmented martech is costing brands revenue clarity — here’s why a unified rev-ops data lake is replacing point solutions.
People-based targeting now feeds AI decisioning engines that personalize and attribute in real time, collapsing two martech stacks into one.
Identity resolution now decides whether AI marketing works at all — here’s how to rebuild brand data architecture around it.
Identity resolution is becoming the backbone of AI marketing—here’s what that means for brand data architecture and stack decisions.
Comparing Brandi AI and Howl Louder’s GEO service models to help brands audit and manage their presence in ChatGPT and Gemini.
Parsnipp’s smart LLM ads merge organic AI discovery with paid campaign creation, collapsing two workflows into one budget-efficient system.
Nutshell and Insider One show how AI-native CRMs are ditching vague personalization talk for auditable, revenue-tied automation.
Daniel Wellington’s attribution dashboard model, adapted for mid-market budgets, shows how to centralize creator conversion tracking without enterprise overhead.
A buyer’s guide to centralized influencer dashboards that replace spreadsheets, covering data pipelines, ROI, and rollout risk.
Comparing cost-per-discovery between 1stCollab’s AI sourcing and traditional agencies for brands scaling micro-creator programs.