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 121-Lesson Bet: What Metadata's Tutorial Library Signals About Platform ROI
Metadata.io just dropped 121 screen-recorded tutorials, and that's not documentation, it's a statement about where platform adoption actually breaks down. Here's what their lesson library reveals about time-to-value and how to use it as your evaluation litmus test.
When Intent Data Stops Being a Buzzword: Qualified's $6.9M Pipeline Lesson
Here's a confession that might get my CMO card revoked: for years, I watched companies buy intent data like it was a magic potion. Then I came across Qualified's case study, and the $6.9M pipeline story underneath reveals something most intent data conversations miss entirely.
AI Search Visibility ROI: How to Measure What Matters (& Ignore What Doesn't)
Your brand just got mentioned in a ChatGPT answer and your analytics dashboard stayed completely silent. Welcome to the measurement problem that's keeping CMOs up at night, and the framework that actually connects AI visibility to pipeline.
Google's New Benchmarking Feature Gives You the Peer Comparison Your CFO Actually Wants
Your board wants competitor comparisons and you've been citing six-month-old industry reports. Google's new Ask Advisor benchmarking feature finally lets you show where you actually stand against your peer group, but only if you verify the peer group first.
When Your Attribution Data Lies to You: What LaunchDarkly's Metadata Fix Reveals About B2B Marketing's Dirty Secret
Here's a confession that will resonate with every demand gen leader: you've probably made at least one budget decision this quarter based on garbage data. LaunchDarkly's case study reveals what happens when a sophisticated marketing team finally confronts the uncomfortable truth about UTM parameters, and the infrastructure fix that made attribution trustworthy again.
Your AI Buyer Persona Knows Everything Except How to Buy
Your synthetic audience tool can simulate 10,000 IT decision-makers in an hour, but it has no idea whether any of them would actually sign a contract. The gap isn't technical, it's psychological, and it's costing you deals.
Google's AI Search Data Is Growing, But The Gaps Remain
Sixty-eight percent of Google searches now end without a click, and the gap between impressions and traffic is the AI Overview eating your CTR. The data keeps arriving, but the measurement gaps remain, and the teams that close them first will have a forecasting advantage that compounds.
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.
B2B Marketing Automation: Fix Targeting Before Tools
Here's the uncomfortable truth most automation vendors won't tell you: 49% of marketers can't measure ROI from their automation. Not because the software is broken, but because they automated a targeting problem. Let me show you how to fix that before you waste another dollar.