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.
Your SEO Dashboard Looks Fine. Answer Engines Already Moved On.
Answer engines select content rather than rank it. B2B SaaS teams need structured data, proof-heavy assets, and AEO measurement to protect pipeline as AI reshapes buyer discovery.
Google Ads API v24.2: What the New Fields Mean for Your Pipeline Forecast
Your CFO wants an audit trail for AI-generated ad copy. Your RevOps lead needs cleaner Demand Gen attribution. Google's v24.2 release addresses both, here's what the new fields mean for your pipeline reporting.
Your GA4 Is Hiding AI Traffic in the Referral Bucket. Here's How to Fix It.
Set up GA4 custom channels and Search Console exports to isolate AI search traffic, find gap queries, and measure whether AI referrals actually convert for B2B SaaS.
Enhanced Conversions in Google Ads: A Measurement Fix, Not a Magic Lever
Enhanced Conversions recovers 5–10% of lost Google Ads attribution by hashing first-party data. Here's how to set it up without disrupting your bidding signal.
Email Marketing in 2026: The Rules Changed, But the Game Got Better
Open rates are now a phantom limb, authentication requirements have become a gauntlet, and automated flows are generating 18x more revenue per recipient than your campaigns. Here's what actually matters for email marketing in 2026—and where to start if you're behind.
The 83% Accuracy Play: Why Your SEO and Paid Teams Need to Stop Forecasting in Silos
Here's a stat that should make every CMO sit up: forecasting SEO and paid search together lifts revenue accuracy to 83%. If you're still running separate forecasting models, you're essentially flying a plane with two pilots who refuse to talk to each other.
Why AI Underperforms in Marketing Operations, And 5 Foundations for Success
Eighty-eight percent of AI pilots never reach production, and marketing ops teams sit at the center of the problem. The models work. The bottleneck is operational. Here's how to fix the five foundational gaps before your next pilot kicks off.
Your Meta Campaign Structure Is Obsolete. Here's the Math on What to Do About It.
Meta's Andromeda rollout broke every campaign structure built on audience segmentation, and the data shows a 31% ROAS collapse for those who didn't adapt. Here's the consolidation math that's separating winners from losers.
The Black-Hat Playbook for AI Visibility Is Already Here. And It's Predictable as Hell.
The moment a new channel becomes valuable, someone figures out how to game it. AI visibility is no different, except the consequences of getting caught are catastrophically worse. Here's what's actually happening and why the shortcuts will burn you.