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Cue for Enrollment Teams

Grow enrollment with reliable intelligence.

Cue helps enrollment and growth leaders prioritize leads, forecast pipeline, and find growth with data-backed clarity.

30%

Paid Marketing Efficiencies

Boundless Learning

80%

Lower Error Rates vs. In-House

e:cue benchmark

6 wks

To Predictive Lead Scoring

e:cue benchmark

4 wks

To First Enrollment Insight

e:cue benchmark

The Challenge

Enrollment teams have more data than ever and fewer answers.

Marketing optimizes for applications. Enrollment optimizes for starts. Neither team knows if the leads being generated are the ones that actually enroll, persist, and complete.

e:cue connects your CRM, LMS, SIS, and outreach data into a single, consistent data layer — so both teams work from the same numbers, and every outreach decision is grounded in what actually drives enrolled students.

What You Get

From data chaos to decisive action.

Melt / Yield

Stop losing students you already won

Applied, accepted, deposited — and never started. Cue predicts which committed students are drifting, early enough to intervene.

Prioritization

Call the right student first

Advisors have finite hours and an inbox that requires constant triage. e:cue scores every inquiry on intent and fit as it lands, so the day gets spent on the students most likely to enroll — not the ones who happened to reply.

Unified View

Marketing and enrollment in one source of truth

Cue sits on a unified data layer that includes both marketing and enrollment data. Questions like 'which campaigns generate the leads who actually enroll and persist?' with real numbers and evidence.

Forecasting

See the term before it closes

Projected starts by program and cohort against target, with the pipeline math you can act on — so recruitment budget shifts while there's still a term left to save.

Enrollment Acceleration

Shorten the decision cycle

Identify the behavioral and demographic signals that predict enrollment and completion — then use them to prioritize outreach and personalize communications at scale.

How It Works

How e:cue gets you to insight.

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01 We Integrate

We connect your enrollment stack.

Typically: your CRM, outreach tool data, LMS/SIS records, and historical enrolled and non-enrolled records with associated program and source data.

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02 We Customize

We build enrollment-specific ML models.

Our data scientists build lead scoring, enrollment probability, and persistence signal models — trained on your institutional patterns, not industry averages.

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03 Cue Analyzes, You Act

Ask the questions that matter.

Who are my highest-intent prospects this week? Which programs are underperforming against forecast? Where is our funnel leaking? Cue answers all of them.

How it Works

How e:cue gets you to insight.

01 We Integrate

02 We Customize

03 Cue Analyzes, You Act

how-it-works-01.png

We connect your enrollment stack.

Typically: your CRM, outreach tool data, LMS/SIS records, and historical enrolled and non-enrolled records with associated program and source data.

Testimonials

How one leader gained clarity from their enrollment data.

Boundless Learning Logo

By looking at data in its entirety, Cue is able to find signals where we didn't find them before.

Heidi Diedrich Headshot

Heidi Diedrich

SVP of Learner Acquisition and Retention

Frequently Asked Questions

Clarity before you act.

How is Cue different from the analytics built into our CRM?

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CRM analytics are built on CRM data only. They don't connect to your ad platforms, your email sequences, your call notes, or your student success tools. Cue ingests all of those, cleans and joins them, then gives your team a single view of the student and the pipeline. The result is reporting that reflects what's actually happening in revenue — not just what's been logged in the CRM.

Can Cue help with enrollment forecasting?

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Yes. Once Cue is trained on your historical pipeline and enrollment data, it can model enrollment probability by prospect, flag students who've gone quiet, and produce a bottom-up forecast that doesn't rely on counselor self-reporting.

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