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 layer-by-layer guide for mid-market brands building a first-party data stack that survives the cookieless era.
A practical framework for evaluating AI agents that shift ad spend based on live inventory, pricing, and margin signals.
Deterministic vs probabilistic identity merge keys shape AI agent accuracy, budget waste, and compliance risk in warehouse-native MarTech stacks.
Amperity, LiveRamp, and Databricks each solve real-time behavioral intelligence differently — here’s how to pick for agentic marketing.
A practical framework for building AI governance charters that keep autonomous ad bidding accountable, compliant, and fast.
TikTok Shop’s AI policy audit tools flag violations instantly — here’s how brand compliance teams need to adapt their workflows now.
Segment, RudderStack, and Amperity compared for cookieless first-party data activation, with a brand-side lens on cost, risk, and speed.
Agentic AI campaigns will expose weak identity resolution fast — here’s how to stress-test CDP vendors before you commit budget.
Consumers now buy after seeing brands cited in ChatGPT without clicking — here’s how to measure and capture that revenue.
Generative-Engine Marketing splits AI visibility into paid and organic, forcing brands to budget for both in 2027 planning cycles.