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.
L2T proved AI can personalize creative per dealer at scale. Here’s how CPG brands can apply the same model down to the SKU.
Adaptive identity resolution beats legacy CDPs at unifying creator, paid, and CRM data — here’s how buyers should evaluate the shift.
A practical blueprint for stitching booking-platform data into brand CRMs so commission-based creator deals get attributed correctly, post-cookie.
A practical comparison of AI format-recommendation tools, weighing XR ONE against emerging rivals on CTV, digital, and social prediction accuracy.
AI-enabled media buying needs a human override threshold—here’s how to set governance gates before agents pick ad formats autonomously.
Acxiom, LiveRamp, and Epsilon each define “unified source of truth” differently — here’s what that means for your GEO strategy and budget.
Independent brands that refresh local content on a fixed cadence win AI Overviews citations; those that don’t fade from recommendations.
A technical look at XR ONE’s AI format-prediction layer and whether its CTV-vs-digital calls actually reduce wasted spend.
A budgeting framework for choosing between unified ad-ops platforms like XR ONE and best-of-breed MarTech stacks, with real cost math.
A practical framework for evaluating AI agent media-buying error insurance before handing autonomous bidding systems real budget authority.