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.
When ChatGPT Forgot Semrush Existed: A Case Study in AI Visibility
Semrush launched AI visibility tools, then discovered ChatGPT was recommending every competitor except them. The disconnect between being cited and being recommended reveals the marketing measurement problem of 2026.
Why Your B2B PPC Metrics May Be Lying to You
Your Google Ads dashboard says the campaign is working. The CRM says otherwise. When your sales cycle runs 84 days and involves six to ten decision-makers, a 28-day attribution window captures a fraction of the conversions your campaigns actually influence.
The Learning Phase Is Eating Your B2B Budget. Here's the Math to Fix It.
Meta's learning phase burns through 20% more cost per acquisition than stabilized campaigns, but most B2B teams treat it as a black box. Here's the math to engineer your way through it faster instead of bleeding budget while waiting.
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.
From Content Factory to Media Operation: A Maturity Model for 2026
Most B2B marketing teams are stuck running content factories, producing 47 assets per month while nobody can trace which ones actually move pipeline. The dirty secret? We've gotten really good at making stuff and terrible at asking whether we should.
Your Biggest Accounts Already Have the Pipeline. You're Just Not Looking in the Right Place.
71% of CEOs say account expansion is critical, but only 49% trust their teams to execute it. New research reveals the revenue your CEO is worried about isn't hiding in some undiscovered market—it's sitting inside accounts you already own, triggered by business changes you're not monitoring.
Why Perplexity Scrapes Your Lead-Gen Pages but Cites Reddit Instead
Your gated landing page converts at 4.2% but when prospects ask AI about your category, they get cited Reddit threads instead of your content. Here's why AI retrieval systems favor ungated substance over marketing promises—and how to fix your citation gap before the window closes.
Wiring Asset Studio Into Performance Max in 2026 Without Losing Per-Variant CPL: The Parallel Asset Group Split
Your CFO wants to know why CPL jumped 23% after adding Asset Studio variants to Performance Max. The problem isn't the AI-generated creative—it's that you lost per-variant cost visibility when everything got blended together. Here's how to structure parallel asset groups that preserve measurement while scaling creative velocity.
Reddit Just Opened a Performance Auction for Lead-Gen Buyers: The Two-Event Conversion Schema That Stops It From Pacing Like Cheap Meta
Reddit's $2.2B ad revenue surge has B2B marketers taking notice, but most campaigns burn budget on low-quality leads within 72 hours. The fix isn't abandoning Reddit—it's implementing a two-event conversion schema that teaches the auction to optimize for qualified pipeline, not just form fills.