DataWorks
B2B Marketing Data, Attribution & Analytics
Without visibility, you're flying blind. Without correlation, you're guessing.
Most marketing teams are rich in dashboards and poor in answers. DataWorks covers attribution, measurement infrastructure, and the intelligence layer that makes every other marketing investment legible.
Without visibility you are flying blind; without correlation you are guessing — this section is about replacing both with evidence.
Mailchimp's Analytics AI: The Math Behind the Conversational Shift
Mailchimp's Analytics AI eliminates the gap between data and decision by letting marketers ask questions in plain language and get strategic answers they can act on immediately. No more dashboard builds, no analyst queues—just the first platform-level acknowledgment that the bottleneck was never the data itself.
AI Mode is killing clicks. AI Overviews are killing certainty.
AI Mode and AI Overviews drive different user behaviors in 2026; this article shows one practical experiment to optimize for citation and evaluation.
AI agents didn’t break your martech—your APIs did
AI agents are hitting martech’s real bottleneck: APIs built for humans, not high-frequency automation—here’s a reliability test to run this week.
Nobody Knows How Visible Your Brand Is in AI Search. That's Actually Fine.
Every AI visibility number on your dashboard is an educated guess at best, built on probabilistic estimates rather than actual data. But once you stop fighting that reality and accept the uncertainty, you can actually start making smarter decisions about measuring what matters.
The Content Formats AI Actually Cites (And Why Your Best Blog Posts Might Be Invisible)
Your best content might be invisible to AI search engines that now appear in 50% of queries. Here's what formats actually get cited and why your narrative-driven blog posts are getting skipped entirely.
When ChatGPT Forgot Semrush Existed: A Case Study in AI Visibility
Semrush launched AI visibility tools, then discovered ChatGPT was recommending every competitor except them. The disconnect between being cited and being recommended reveals the marketing measurement problem of 2026.
AI traffic is tiny. Treat it like your highest-intent cohort.
A measurement-first playbook to turn early-stage AI referrals into pipeline using one decision-ready soft conversion on AI entry pages.
Great content won’t save you: ship a product moat
In 2026, content is table stakes; a product proof spine turns “killer outcomes” into measurable, AI-readable assets that convert and hold up in attribution.
Chat over incrementality: faster answers, stricter guardrails
Measured’s MCP chat layer brings incrementality results into AI tools, but only governed, auditable data makes the speed worth trusting.