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.
Enrichment, deduplication, and consent enforcement have shifted from nice-to-have add-ons to non-negotiable demand-gen platform requirements.
Data Dynamics’ enterprise release marks a shift from AI features to governed AI infrastructure, reshaping how brands vet martech vendors.
First-party identity graphs unify CRM and ad-tech signals into predictive audiences, cutting acquisition costs and third-party data risk.
Hashed-email matching vs probabilistic modeling: a technical breakdown to help brand teams pick the right post-cookie identity strategy.
A practical buyer’s guide to no-code predictive scoring tools that let mid-market teams orchestrate journeys without an engineering team.
45% of agentic AI marketing projects fail on broken data. Here’s the sequencing framework CMOs need before personalizing anything.
Integrate’s CaliberMind acquisition promises a closed demand-gen-to-revenue loop. Here’s how brands should stress-test that claim before migrating.
Data Dynamics’ governed AI layer in Enterprise 2.0.5 signals a shift toward compliance-first marketing AI that brands can actually deploy at scale.
Server-side attribution plus holdout testing gives marketing and finance a shared, defensible measurement stack for the post-cookie era.
Fragmented CRM, martech, and ad-tech data now costs boards real revenue, making unified customer data platforms a 2026 mandate.