Education
Recruiter activity, lead data and enrollment records connected to show real conversion performance by individual and source.
Enrollment funnels leak at specific, identifiable points: the inquiry never contacted within the window, the application started and abandoned at a document step, the accepted student who never enrolled. Each is a different fix.
The failure mode is judging channels on cost per lead. A channel that produces cheap inquiries that never enroll consumes both budget and admissions staff time, while a channel that produces slower but converting applicants looks worse on the metric being managed.
Connecting spend, inquiry behavior, and actual enrollment outcomes makes both the channel decision and the process fix evidence-based, and it usually redirects budget rather than requiring more of it.
Comparing tools for education? See how SIGNLD compares with Julius AI. For the underlying numbers, read AI analytics for marketing spend and conversion.
Step 01
Read-only access to your admissions CRM (Salesforce), your marketing automation and inquiry engagement data (HubSpot), and website and campaign traffic (Google Analytics).
Step 02
Inquiries, applicants, channels, campaigns, admissions activity, and enrollment outcomes are linked so a channel is measured on enrolled students rather than on leads generated.
Step 03
The brief ranks funnel leak points and channels by enrolled-student yield, quantifies the cost of each leak, and recommends the process or budget change with the largest effect.
SIGNLD connects read-only to your existing systems. 800+ integrations available.
The question
Which recruiters and lead sources are producing enrolled students, and which are producing activity?
What SIGNLD found
3 recruiters show high contact volume and meeting completion rates but 30-day enrollment conversion below 8%. The institution's average is 22%. The gap is not visible in weekly pipeline reports because activity metrics and outcome metrics are tracked in separate systems and never correlated.
Evidence
Recommended move
Interview the top-converting recruiter and document their qualification and follow-up process. Apply those practices to the 3 underperforming recruiters. Review lead source quality for their specific pipelines - the issue may be lead quality, not recruiter skill. Do not make compensation decisions until the lead quality question is answered.
2.4x improvement in recruiter performance visibility
Illustrative brief. Figures are sample data, not customer results.
Education
Enrollment records, attendance data and financial aid status connected to flag retention risk while there is still time to intervene. 14 students show a combined risk profile: attendance below 70%, financial aid status flagged for verification, and no advisor contact in the last 30 days.
Read the decision →Education
HR records, class assignment data and PTO history connected to surface overload patterns before they become resignations. 7 teachers are carrying class loads 30% above their contract baseline with no supplemental compensation logged. 3 of the 7 have not taken any PTO since the start of the school year.
Read the decision →Education
Academic performance data, program enrollment and advising records connected to trace which interventions actually produce outcomes. The tutoring program shows no measurable impact on graduation rate for students who use it fewer than 4 sessions per term.
Read the decision →Free Forever plan. Full 14-day Growth trial. No credit card.