Services
Marketing
Campaign ROI & Attribution Dashboard
Build a reporting layer connecting campaign spend to pipeline and revenue so every dollar is traceable to an outcome.
Intelligence
Marketing teams in this situation have usually tried building an attribution dashboard before. It got built, it had numbers in it, and then finance asked a question it couldn't answer. The problem is almost never the dashboard tool. It's that the attribution model wasn't built before the dashboard, so the numbers look right but don't hold up under scrutiny. We build the model first and the dashboard second, which is the sequence that produces something leadership actually trusts.
Most marketing dashboards report on activity: impressions, clicks, leads generated, cost per lead. They stop before the question that actually matters: which spend drove revenue? That gap exists because connecting marketing activity to closed deals requires joining data across systems, handling multi-touch attribution, and accounting for the time lag between a first marketing touch and a closed deal.
The result is that budget decisions get made on cost-per-lead numbers that don't reflect pipeline quality. A channel with a $40 CPL but 5% close rate is worse than a channel with a $120 CPL and 25% close rate, but most dashboards only show the first number.
What we do
We build the attribution model first, then the dashboard. That means connecting your marketing activity data to pipeline and revenue outcomes, choosing an attribution model that fits your sales cycle length and deal complexity, and validating the numbers against what actually happened in your best quarters.
The dashboard is the output of that work, not the starting point.
For context on what this type of analysis typically surfaces, read the attribution problem that makes ROI dashboards unreliable.
Deliverable
A fully built campaign ROI dashboard with channel-to-revenue attribution, pipeline contribution by source and campaign, cost-per-pipeline and cost-per-revenue metrics, and documentation of the attribution model so finance and leadership understand how the numbers are calculated.
Outcome
Marketing can walk into a budget conversation with numbers that connect spend to revenue, not just to leads. Finance stops asking "but what did that actually produce." Budget allocation decisions get grounded in something more reliable than gut feel and last quarter's lead volume.
How Stratum Group Cut Reporting Time by 50% and Detected Churn 60 Days Earlier — cut decision time by 50% and started detecting churn 60 days earlier.
Best Fit
This is for marketing teams who have been asked to justify budget with ROI data and can't, not because the ROI isn't there but because the measurement infrastructure isn't. Also the right engagement if you've tried building attribution dashboards before and the numbers never quite added up.