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.
How We Use AI for Every Article Without Making AI Slop
We'd become an AI slop factory without realizing it. Here's the uncomfortable truth about using AI well, it requires more editing, not less, and the last 30% is where your brand actually lives.
TikTok Ads Won't Fix Your B2B Pipeline Unless You Fix the Measurement Window First
TikTok can generate real B2B SaaS pipeline, but only if you fix measurement windows, assign the channel one job, and build creative that qualifies viewers.
Reddit Ranks for 166 Million Keywords. Your Keyword Tool Doesn't Show Half of Them.
Reddit ranks for 166 million keywords. Here's a two-hour process to mine its footprint for buyer language, content gaps, and AI Overview opportunities in B2B SaaS.
Your "Winning" Campaign Might Be Lying to You
That 4X ROAS on your dashboard? It might be a beautiful lie. I've watched marketing teams kill their best-performing campaigns because they couldn't wait for the data to mature, and the attribution window problem is why.
Workweek's $50 CPM Bet: When Verified Audiences Become the Attribution Layer
A $50 CPM sounds expensive until you realize you're paying for proof, not reach. Workweek just launched a newsletter platform that connects verified professional engagement directly to your CRM, and the math on attribution might finally start making sense.
Better Data Starts With Treating People Like People
We've spent two decades building an industry on treating people as cookies and device IDs. Now, as regulatory walls close in and consumers wise up, we're shocked our data quality is garbage. The uncomfortable truth? The data crisis isn't a technology problem, it's a relationship problem.
The Post-Cookie Stack Audit Your CFO Will Actually Read
Forty percent of your attribution data isn't at risk, it's already gone. Here's the three-pillar architecture that separates the organizations building structural advantage from those waiting for an ecosystem that will never stabilize.
The Shot-by-Shot Decision: When AI Video Helps Your B2B Campaign and When It Tanks It
AI video looks polished but tanks conversions when you use it wrong. The real decision isn't 'AI or traditional', it's knowing which tool fits which shot. Here's the three-test framework that separates the marketers who get it from the ones still wondering why their beautiful footage isn't moving the needle.
The 2026 AI Marketing Reports: What the Numbers Actually Mean for Your Budget
Ninety-five percent of B2B marketers use AI tools, but fewer than 40% can prove measurable gains. The 2026 reports reveal the real divide isn't adoption, it's execution maturity and whether your AI strategy can survive a CFO review.