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.
Search Console data and native platform analytics rarely match — here’s why the gaps exist and how to build attribution models that account for them.
Practical Ecommerce’s 2026 analysis says AI marketing tools changed, but strategy fundamentals — audience, offer, message — haven’t.
Ad Age’s top AI marketing activations show generative creative wins on cultural specificity, not novelty — here’s the brand playbook.
Ad Age’s top AI marketing activations show generative creative wins on speed and cultural fit, not novelty alone.
GEO only works when CRM, attribution, and identity data are unified — otherwise brands are optimizing for AI engines blind.
A practical guide to evaluating generative-AI dashboards for viewability and sales-lift reporting, with a checklist for procurement teams.
A decision-intelligence dashboard swaps vanity metrics for CAC, sales lift, and customer equity so influencer budgets follow proof, not applause.
On-device AI cuts retail personalization latency but breaks attribution chains — here’s how to architect around it.
A 2026 cost model comparing in-house fine-tuned marketing LLMs against vendor API licensing, with real breakeven math for mid-market brands.
A buyer’s guide to choosing an AI marketing benchmarking dashboard that standardizes share-of-model tracking across ChatGPT, Gemini, and Perplexity.