
Decision makers deserve clarity. Not more dashboards.
Consultants are never embedded enough. In-house teams are costly and slow. Generic AI tools cut corners on the rigor EDU data demands. e:cue was built to be what analytics should have always been: embedded, contextual, and built for decisions.
80%
Lower Error Rates
25%+
ROAS Improvement
6 Weeks
To Optimize Strategy
30%
More Efficient Compute
The e:cue Advantage
You don't have to sacrifice accuracy for speed.
Customized to your institution.
Cue's data scientists connect your LMS, SIS, CRM, and ad platforms, learn your enrollment priorities, and build tailored AI/ML models, so you don't rely on off-the-shelf dashboards that don't understand Education.
No data left behind.
We pull in everything, from LMS exports to spreadsheet chaos to fragmented SIS data, and transform it into a single, structured data narrative that reflects how your institution actually operates.
Signals you didn't know to look for.
Once your data is unified, our AI surfaces enrollment patterns, retention risks, and spend optimization opportunities you didn't even know to look for, delivering them directly to you.
Analysis in seconds, not weeks.
Cue runs real-time models trained on your data, so you get answers when you need them — enrollment forecasts before the next board meeting, spend recommendations before the next campaign launch.
Answers like a colleague, not a tool.
No confusing dashboards. Ask Cue a question and get strategic insight like you would from your highest-paid analyst — one who knows your programs, your partners, and your institutional context.
Predictive, not just reactive.
Enrollment forecasting, retention risk modeling, and scenario planning that anticipates performance — so you can be right about what's coming, not just reactive to what happened.
Half-truths don't cut it in Education.
We're building what analytics and BI tools should have always been: embedded, contextual, and built for decisions — not dashboards.
Status Quo
Overwhelmed in-house team taking weeks to build a new enrollment dashboard
Generic AI delivering quick but institutionally meaningless answers
Costly consultants not embedded in your enrollment or marketing stack
Triple-checking reports, each system telling a different story
Shuffling between LMS, SIS, CRM, and ad platform — no single source of truth
Status Cue
Four weeks to first insight, six weeks to predictive models
Trained on your institutional context, not a generic template
Embedded data science team that maintains the infrastructure
One source of truth across every enrollment and marketing data source
Answers in plain language, in Slack or the web, in minutes
Predictive Models
Cue prepares you for what's coming.
Enrollment forecasting, retention risk modeling, and scenario planning that anticipates performance — so you can be right about what's coming, not just reactive to what happened.

Enrollment forecasting
Bottom-up forecast by prospect, program, and cohort — built on your actual historical pipeline, not counselor self-reporting.

Student retention signals
Behavioral patterns that predict disengagement, surfaced weeks before a student withdraws.

Lead scoring
Scoring built on your actual enrolled-and-persisted patterns. Tells counselors who to call first — by program, by segment, by source.

LTV prediction
Student lifetime value modeling that connects marketing source data to downstream persistence and completion.
How it Works
How e:cue gets you to insight.
01 We Integrate
02 We Customize
03 Cue Analyzes, You Act

We connect your stack.
Our teams consolidate data from across your stack, bringing all your key information into a single, clean and transformed source of truth.
Testimonials
Hear from leaders who finally understand their data.
Testimonials
Hear from leaders who finally understand their data.
e:cue has been transformational for our projections. We’re able to plan more effectively, optimize our resources, and confidently scale. It’s been a game-changer for how we approach growth.

James Dressing
Chief Executive Officer
e:cue has helped us manage marketing spend and optimize our customer journey by looking at the entirety of our data in a way that is actionable.

Jennifer Hanlon
Chief Marketing Officer