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 Supermetrics-Lovable Stack: When Marketing Finally Builds Its Own Tools
Marketing teams have been waiting years for that budget pacing tracker sitting in engineering's backlog. The new Supermetrics-Lovable integration just changed the math, here's what's actually worth building and the governance questions you need to answer first.
AI in B2B Sales: The Difference Between Sprinkled and Strategic
Most B2B sales teams are AI-sprinkled, not AI-strategic, which explains why 42% abandoned their initiatives last year. The difference between success and failure comes down to connected workflows, clean data, and knowing where humans still matter most.
The 6% Problem: Why Your AI Marketing Stack Isn't Delivering
80% of marketing teams feel AI pressure, but only 6% have actually embedded it into daily workflows. The gap isn't about tools, it's about data foundations that most teams are building on duct tape and wishful thinking.
Reddit Ads Data in Redshift: The Pipeline That Actually Closes the Loop
Most marketing teams treat Reddit like a side experiment, but when you warehouse Reddit Ads data in Redshift, you unlock subreddit-level insights that reveal which communities actually care about your product. The connector exists, the schema is clean—the question is whether you're willing to close the loop.
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.