Education & Childcare · Scenario 36

Daycare / Preschool

Some rooms have a waitlist while others sit half-empty, and strict child-to-staff ratios cap the whole centre. We optimise the enrolment mix to fill every licensed spot at the best margin.

Method · Constrained optimization

The situation

A daycare’s revenue is hard-capped by licensed capacity and child-to-staff ratios that differ by age — infants need far more staff than preschoolers. Enrol the wrong mix and you either breach ratios or leave paid-for capacity empty, while a waitlist of families goes unserved. Most centres fill spots first-come, first-served and never see the cost.

Nobody models how the age mix, ratios, staffing and tuition interact, so the centre runs below its real revenue ceiling and the waitlist is managed by gut, not by what actually fills the building profitably.

Ratio-capped

revenue ceiling

First-come

how spots fill

Half-empty rooms

beside long waitlists

No model

of the enrolment mix

Where we dig for the truth

We model how age mix, staff ratios and tuition interact, then find the enrolment plan that fills licensed capacity at the highest sustainable margin.

Enrolment by age & roomChild-to-staff ratiosStaffing & labour costTuition by programWaitlist & demandAttendance patterns

Infant rooms are full and waitlisted while preschool rooms sit half-empty. The centre is leaving licensed, paid-for capacity unfilled in the cheapest-to-staff rooms.

Our approach — Enrolment-Mix & Capacity Optimization

We treat enrolment as a constrained optimisation: maximise revenue across age groups subject to licensed capacity, child-to-staff ratios and available educators. The model says which ages to recruit for, how to phase the waitlist, and where a small staffing change unlocks a whole room of revenue.

Marketing and waitlist offers are then aimed at the specific programs the model wants to fill, instead of a generic now-enrolling to everyone.

Filling the under-used rooms lifts overall utilisation toward the licensed ceiling — pure added revenue, since the rent and core staff are already paid for.

What changes

Same building and licence, a smarter enrolment mix. Representative for a mid-size daycare centre.

Why this is not "social media management"

We didn't just run a bigger enrolment campaign. We modelled how ratios, staffing and tuition cap the building, then filled the licensed capacity sitting empty. Constrained optimisation is operations analytics — and in childcare it sets the revenue ceiling.

Frequently asked questions

How do you increase a daycare's revenue within licensing limits?

We treat enrolment as a constrained optimisation — maximising revenue across age groups within child-to-staff ratios, licensed capacity and your educators. It reveals which ages to recruit for, how to phase the waitlist, and where a small staffing change unlocks a whole room of revenue.

Why do half-empty rooms happen next to a waitlist?

Different ages need very different staffing ratios, and first-come enrolment fills the easy spots while leaving paid-for capacity empty in others. Optimising the mix fills the building without breaching ratios.

Is this just an enrolment campaign?

No — a campaign without a capacity model just creates more first-come chaos. We model the revenue ceiling, then aim marketing at the specific programs with open spots. Book a marketing audit.

Want this run on your numbers?

Send your enrolment and ratio data and we’ll show you the spots you could be filling.