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.
The Cannes Lions Lesson Every Creative AI Initiative Needs
Cannes Lions just drew a line in the sand that most marketing teams haven't noticed yet. The festival's new AI Craft Lions asks a question that separates teams who will thrive with AI from those wondering why their campaigns feel forgettable: Did AI actually make your idea stronger, or did you just use it because everyone's using it?
Reddit's Community Intelligence Play: What the Math Says About Your Next Media Mix Decision
Reddit just handed B2B marketers a new variable for the attribution model. The question is whether it belongs there, and I've got the framework to help you figure that out before your next budget review.
3 Questions That Reveal Your Real Search Performance
Your search dashboard is lying to you. Two-thirds of searches now end without a click, and if you're still measuring success by traffic alone, you're essentially judging a DJ by how many people bought the album instead of how many danced.
Build a Live Data Stack With MCP for Smarter Campaign Performance
Your AI is running on stale fuel, exporting CSVs, pasting into Claude, and acting on data that's already three days old. There's a three-layer stack that changes this fundamentally, and it's the difference between AI as a novelty and AI as infrastructure your CFO will actually fund.
93% Zero-Click Rate: Why the Few Who Do Click Need a Completely Different Page
AI Mode's 93% zero-click rate means the visitors who do reach your site arrive with pre-formed intent. Here's how to audit and restructure pages for them.
Your Page Ranks #1 and AI Still Won't Cite It
Only 38% of AI citations come from top-10 organic results, so rank and AI visibility need separate measurement stacks for B2B SaaS pipeline impact.
Your AI Still Runs on Stale Exports. MCP Fixes the Plumbing.
MCP connects AI models to live campaign data, replacing stale CSV exports with real-time analysis across ad platforms, CRM, and attribution tools.
Bing's new Citation Share metric: what it actually measures and where it falls short
Microsoft's new Citation Share metric in Bing Webmaster Tools shows your site's share of AI citations per query, but it has limits marketers need to understand.
llms.txt Won't Get You Cited: The Differentiation Problem Nobody Can Fix
SE Ranking's 300,000-domain study and Ahrefs data confirm llms.txt doesn't improve AI citations. Mueller explains the structural reason it can't.