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.
Only 39% of marketers monitor AI training data continuously — here’s how to build a pipeline that catches bad data before it skews recommendations.
Perplexity and AlphaSense are replacing manual research sprints with generative search — here’s how brand strategists should choose and govern them.
HubSpot Breeze vs best-of-breed: a practical framework for when mid-market brands should consolidate AI CRM tools and when to stay fragmented.
LayerFive claims it can identify most anonymous visitors. Here’s how to vet that claim against the real 5-15% industry match-rate baseline.
A practical audit framework for identifying which MarTech point solutions to consolidate as AI vendors chase replacement economics.
AI intent-detection helps financial brands identify high-value anonymous visitors and turn them into exportable, compliant paid-media leads.
A hands-on comparison of Claudeforce, Zig.ai, and Runable, the CRM-native AI revenue agents vying for budget in 2026 sales stacks.
Model-agnostic distribution workflows let AI auto-route creative assets to the right channel, cutting media planning time and human error.
NemoVideo, Opus Clip and Descript take very different approaches to scaling one shoot into hundreds of localized ad variants.
SparkStation’s credits-based AI video model slashes 60-second brand film costs by up to 95%, reshaping brand production budgets.