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.
Peak Martech Is a Forecast Problem, Not a Vendor Problem
The martech landscape hit 15,505 tools and flatlined, but if you think that means complexity is finally under control, you're reading the wrong metric. The real story is in the 9% annual churn rate and the data handoffs nobody's counting.
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 Measurement Illusion: Why Social Media's Ad Dominance Is a $275 Billion Confidence Game
Social networks grab 27.7% of US ad spend while commanding just 12.5% of media time. That asymmetry isn't about performance, it's about measurement confidence, and it's leaving billions on the table for brands that can't tell the difference between attribution theater and actual incrementality.
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.
How to Build a DTC Attribution Stack That Scales Past $55M
Your Meta dashboard says 4x ROAS. Shopify says 1.8x. Your CFO says neither matches the bank account. Here's how to build a three-layer attribution stack that actually survives board meetings.
AI in Performance Marketing: From Data to Optimization
Most marketing teams are drowning in data but starving for decisions. AI promises to fix this, but separating the math from the marketing requires understanding where optimization actually works versus where it's just vendor theater.
GA4 for Paid Media Tracking: What B2B Marketers Actually Need to Know
Your CFO just asked why Google Ads shows 47 conversions while GA4 shows 31, and the board meeting is in three hours. This is the reality of paid media measurement in 2026: multiple systems, conflicting numbers, and executives who want a single source of truth.
Server-Side Tracking: The Infrastructure Investment Your CFO Will Actually Approve
Your paid media campaigns are performing better than your dashboards suggest—or worse. The uncomfortable truth is that you genuinely cannot tell which, and that uncertainty is costing you budget authority in every quarterly review.
The Marketing Tech Stack 2026: Essential Tools for Data-Driven Growth Teams
Sixty-two percent of B2B teams plan to reduce their tool count in the next twelve months, and the math is uncomfortable. With martech utilization dropping to 49% and CFOs demanding ROI over novelty, the question has changed from "what can we buy?" to "what's actually working?"