DataWorks
Without visibility, you're flying blind. Without correlation, you're guessing.
Google's New AI Search Reports: What the Data Gap Means for Your Pipeline
Google's new AI Search reports show impressions but hide the clicks, leaving B2B marketers with visibility data they can't connect to pipeline. Here's how to build measurement frameworks that work despite the data gaps.
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.