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Data

The intelligence that tells you who’s actually ready to come back.

ReUp has spent a decade turning engagement data and behavioral signals into learner intelligence — a clear read, drawn from two million real learners, of who’s ready to return, why they left, and what it will take to bring them back.

Patented Predictive Models

Insight this specific only exists at this scale.

It’s drawn from direct outreach and real behavior across more than two million adult learners — not just records, but how people actually respond. That depth is what makes individualized support possible: patented predictive models that surface which barrier and motivation apply to a specific learner, and engagement that adjusts as that learner responds. Most education data wasn’t built to capture this population at this level of detail. ReUp’s is.

From record to response

Every record carries an instruction, not just a history.

A stopout date tells you when someone left. It doesn’t tell you why, or what would bring them back. ReUp turns that record into a documented barrier, a stated motivation, a specific next step that fits. A cost barrier gets a financial aid conversation. A time barrier gets a scheduling one. The data isn’t a record of the past. It’s the instruction for what happens next.

Data privacy

Trust is part of the data, too.

[PLACEHOLDER — FERPA status / compliance language.]