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.
Fragmented attribution stacks are dying. Here’s why brands are consolidating around AI-powered decision-layer governance hubs instead.
Native AI email tools inside HubSpot and Salesforce cut context-switching, but standalone sequencers still win on deliverability and testing depth.
Marketers are done buying “AI-powered” hype—here’s a practical rubric for vendor evaluation that forces proof over promises.
How brands can monitor, audit, and correct inaccurate ChatGPT and AI Overview descriptions before they shape customer perception.
Cross-device match rates still stall at 60-80%. Here’s why, and what identity resolution vendors should be forced to prove before contract signing.
A technical guide to hybrid MTA-plus-MMM attribution, showing brands how to blend the two models without duplicating budget claims.
Loomi AI unifies search and recommendations on Shopify — here’s how it stacks up against a stitched-together point-solution stack.
The AI MarTech market just hit $28B. Here’s how Braze, Klaviyo, and Sprinklr actually stack up for brands choosing in 2026.
Meta’s Andromeda engine now scores creative in real time, which means quarterly testing cadences are quietly killing campaign performance.
GRIN, Upfluence, and AspireIQ’s AI discovery modules perform very differently once nano-creator rosters cross 500 profiles — here’s the operational breakdown.