Most dashboards stop at impressions, clicks, and leads — metrics that don't tell you which enrolled students had first visited your site from an ad click and how much was spent, or which programs are converting spend into applications. Below is what a real enrollment marketing dashboard looks like. The numbers are synthetic; every filter, dropdown, and breakdown is real. Click anything.
| Program ▴ | Spend | Impressions | Clicks | CTR | CPC | CPM | Leads | CPL | Applications | CPA | Deposits | CPD |
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| Month ▴ | Spend | Impressions | Clicks | CTR | CPC | CPM | Leads | CPL | Applications | CPA | Deposits | CPD |
|---|
I read whatever slice of the dashboard you're looking at and turn it into an answer. Change a filter above and my numbers change with it. Try one:
Connecting marketing spend to actual enrolled students is what makes ROI visible in the first place — it allows you to see which programs, audiences, and campaigns truly convert. With this dashboard, we can confidently say that our Return on Ad Spend (ROAS) increased from 2× to 5× year over year across the graduate portfolio, generating $15 million in tuition revenue from marketing campaigns.
Anyone can build a pretty chart from a CSV. The real work — the part that turns "we ran some ads" into "here's exactly what an enrolled student in our MBA program cost us, after multi-touch attribution and a 9-month consideration window" — is wiring the systems together. That's where most enrollment marketing teams get stuck. It's also what I've done at every job for the last 20 years.
Lead capture in one CRM, applications in another, ad spend across five platforms, enrollments in your SIS. Joining them is not "an API call." It's deduping a person across UTMs, emails, form submissions, and a 9-month consideration window.
Platform-reported conversions are the start, not the answer. Real attribution means stitching click IDs to leads, leads to apps, apps to admits, admits to deposits — and reconciling when a "Meta-attributed" lead actually came from organic search.
Not a vendor dashboard you rent. Your team's analysts can write SQL against your warehouse, your marketers see a layer they trust, and when leadership asks "what's our CPA for the MSW program?" you have an answer in 90 seconds, not 90 days.
Higher-ed marketing infrastructure
The dashboards we build aren't templates. They reflect how your specific school routes leads, what your specific CRM fields are called, and which programs in your specific portfolio compete for the same applicant.
We've shipped the Slate-to-BigQuery pipelines. We've reconciled Meta's iOS 17 conversion gaps against admissions deposit data. We've sat in the meeting where a CFO asks "so what's our actual CPA?" and watched marketers fumble the answer because their dashboard reports platform conversions, not enrollments.
That's the problem we solve. The pretty dashboard is just the proof.
Stood up a unified BigQuery + Looker pipeline pulling from Slate, Meta, Google, LinkedIn, and Microsoft Ads. Replaced 6 separate program-level reports with one cross-school dashboard.
Built attribution frameworks for a system serving 275,000 students. Reconciled platform-reported conversions with SIS enrollment data to produce CPAs that finance leadership actually trusted.
From single-program landing-page analytics to multi-school enrollment funnels — typically 4–12 weeks to ship the data layer, then ongoing partnership on the strategic reads.
Book a 30-minute discovery call. We'll ask about your stack, your funnel, your reporting headaches. If we can help, we'll tell you how. If we can't, we'll tell you that too.
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