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.

Lars Maat: The Operator Voice B2B Marketing Needs Right Now

Lars Maat runs a 30-person agency, co-founded a paid social training community, and still logs into ad accounts weekly. For CMOs navigating AI search and channel convergence, he's that rare thing: an operator who publishes with enough specificity to actually be useful.

Sloane

Your Metrics Just Jumped. Your Performance Didn't.

Google's June 15 update made your Performance Max reports look incredible overnight. But before you take a victory lap, you should know: nothing actually improved. Here's what really changed and why it matters for your next board deck.

Sloane

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.

Sloane

Measured's MCP Server: What It Actually Means for Your Forecast

Measured just shipped an MCP server that lets you ask ChatGPT where your next marketing dollar should go, grounded in 30,000 incrementality tests. The real question isn't whether this changes the math, but whether your organization is ready to act on answers that arrive faster than your governance processes can absorb them.

Sloane

Reddit Ads Meets ChatGPT: The CFO-Safe Case for Subreddit Targeting

Eighty-eight percent of Reddit users made a purchase based on platform information last year, but most B2B teams can't extract actionable insights fast enough to justify the spend. New ChatGPT integrations change that equation by turning subreddit-level data into natural language queries that deliver optimization insights in seconds, not spreadsheet archaeology sessions.

Sloane