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.
The Braze-Databricks Integration: What It Actually Means for Your CAC Payback
Most marketing-data partnerships announce 'seamless integration' and deliver another middleware layer to maintain. The Braze-Databricks tie-up is different, it eliminates a layer instead of adding one, and that distinction matters for anyone trying to defend marketing spend in a board meeting.
Teads Data in Claude: What It Means for Your Media Mix Model
A 10-hour report built in 20 minutes—that's what happens when you can query Teads data directly in Claude using plain English. The new Supermetrics integration shifts the analyst bottleneck from data wrangling to decision-making, changing the operational math for marketing teams running outstream video campaigns.
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.
iPaaS Analytics: The Integration Layer Your CFO Actually Wants to Fund
Most marketing teams are drowning in data but starving for insight, spending days reconciling spreadsheets instead of optimizing spend. iPaaS analytics transforms your integration layer from expensive middleware into a revenue operations control plane that your CFO will actually want to fund.