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.
Digital Marketing Optimization: 10 Strategies That Actually Move the Needle
Seventeen metrics, four attribution models, and a pipeline flat as a pancake. The marketers who'll thrive in 2026 aren't chasing fancy AI tools, they're the ones who can walk into a budget meeting and explain exactly how their work moved a number that matters.
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.
The Funnel Lied to You: What Dreamdata's Data Reveals About How B2B Buyers Actually Buy
Eighty-eight touchpoints. Ten stakeholders. Two hundred seventy-two days. The comforting fiction of your linear funnel just got buried by Dreamdata's latest research, and the implications should make every CMO reconsider everything they thought they knew about attribution.
The CFO Conversation Nobody Wants to Have (And How HubSpot Cracked It)
Fifty million impressions a month. Seventy people. Seventeen YouTube channels. And yet the most interesting thing HubSpot's VP of Content said wasn't about scale, it was about the question every content marketer dreads: 'How do I explain this to my CFO?'
The Cross-Platform Measurement Problem Nobody Wants to Solve
You're staring at three dashboards and each platform is taking credit for revenue that doesn't mathematically exist. Welcome to the measurement problem that keeps B2B marketers up at night, and here's how to actually fix it.
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.
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.
Connect Pinterest Ads to Snowflake: The CFO-Safe Case for Visual Discovery Data
Pinterest's $0.83 CPC makes it the cheapest intent platform in 2026, but most teams can't prove ROI because the data sits isolated from their attribution models. Here's how to connect Pinterest Ads to Snowflake and finally answer what the channel actually contributes to revenue.
Accurate ROI Tracking For Ads: A Complete Guide
Ask any CMO which campaigns drove closed-won revenue last quarter, and watch the room go quiet. The gap between ad activity and ad ROI doesn't close itself, but the teams building proper measurement infrastructure are finally proving marketing's worth in the language finance speaks.