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 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.
Your Attribution Dashboard Is Lying to You by About 24 Points
Most marketing teams trust their attribution reports like pilots trust altimeters, but the gap between what your dashboard claims and what actually happened is large enough to blow your CAC payback model. The 24-point delta between attributed conversions and incremental lift isn't just a measurement curiosity—it's a capital allocation problem that's systematically distorting your budget decisions.
When ABM Meets Attribution: The B2B Marketing Power Couple of 2026
B2B marketing in 2026 is like being a DJ at a wedding – you've got to read the room and prove your worth while targeting accounts that actually matter. The marriage of ABM and attribution isn't just changing how we measure success; it's redefining what winning looks like entirely.
When 100% Attribution Meets 93% Account Reach: What Total Expert's ABM Results Actually Mean for Your Pipeline Math
Total Expert achieved 100% closed-won attribution and 93% account reach – but the real story isn't the platform. It's how they fixed ICP alignment before expecting attribution clarity, creating a CFO-safe ABM model that actually connects activity to revenue.
Profound vs. Scrunch AI for AEO ROI: The Real Comparison Starts With Attribution
AEO is colliding with marketing automation in 2026—and that changes what ROI even means when you compare tools like Profound and Scrunch AI. The real difference isn't in features; it's in whether the tool can survive contact with your attribution system.
B2B Intent Data: A CFO-Safe Framework for Separating Signal from Noise
Intent data has gone from niche tool to mainstream marketing budget item in three years. Most companies are using it wrong. Here's a framework that separates genuine signal from expensive noise.
iPaaS Analytics: The Integration Layer Your CFO Actually Wants to Fund
iPaaS platforms are transforming how marketing data teams build attribution infrastructure. Here's why this unsexy category is suddenly a CFO priority — and how to make the case internally.