Demand IntelligenceStudent housing demand analytics
Data as of –Method

Acquisition Benchmark

Enter the rent and unit assumptions of a scheme and see how much of the observed demand actually supports them. Nothing here is a valuation — it is a demand test.

What the data says

Generated from the records currently in scope — observation, why it matters, and the decision it points to. Nothing here is written in advance; every figure recomputes on the next upload.

Price resistance

Insufficient datan = 0
Observation
No statement possible: the affordability curve needs stated budgets and none are present in this filter.
Interpretation
The figure is absent from the exports, not zero — reading it as a result would be wrong.
Investment implication
Check the budget field in the lead export for the selected period before reading any rent decision from this page.

Budget level

Insufficient datan = 0
Observation
No statement possible: no enquiry in this filter states a usable monthly budget.
Interpretation
The figure is absent from the exports, not zero — reading it as a result would be wrong.
Investment implication
Widen the period or clear the location filter; if the gap persists, the budget field is not being captured on the enquiry form.

Deal assumptions

Figures apply to the currently filtered scope shown in the bar above.

Demand retained at target rent
–

Share of stated budgets that still cover EUR 900 per month.

Insufficient datan = 0
Price position
–

Share of stated budgets that sit below the target rent.

Insufficient datan = 0
Gap to median budget
–

No median available.

Insufficient datan = 0
Rent per m²
EUR 41 / m²

Target rent divided by the planned room size.

Calculated
Addressable leads in scope
–

Leads whose stated budget covers the target rent, within the current filters.

Insufficient datan = 0
Size gap
–

No usable configurator size data.

Insufficient datan = 0
Single-room preference
–

Share of occupancy clicks choosing a single room.

Insufficient datan = 0
Annual rent roll at full occupancy
EUR 2,160,000

Arithmetic only: target rent × units × 12. It assumes full occupancy and says nothing about achievability.

Calculated

Retained demand around the target rent

No valid budgets in scope.

Insufficient datan = 0
No data in the selected scope. Widen the filters or upload data to see this chart.

Assumption checks

Each assumption tested against the recorded demand in the current scope.

Insufficient datan = 0
  • Rent against stated budgets

    No valid budgets in scope, or no target rent entered.

    Insufficient data
  • Position against the median

    No median budget available in scope.

    Insufficient data
  • Room size against demand

    No usable configurator size activity in scope.

    Insufficient data
  • Unit type

    No occupancy interactions in scope.

    Insufficient data
  • Contract length

    No valid stay lengths in scope.

    Insufficient data
  • Lease-up seasonality

    No dated searches in scope.

    Insufficient data
  • Marketing lead time

    No usable lead times in scope.

    Insufficient data
  • Evidence base

    Only 0 valid budgets in scope — below the medium-confidence threshold of 30.

    Insufficient data

Size clusters against the planned room

The planned 22.0 m² room sits in the cluster highlighted below.

Insufficient datan = 0
No data in the selected scope. Widen the filters or upload data to see this chart.

Location comparison at the target rent

How much of each location's demand survives the target rent, using the same rule as the portfolio figure.

Insufficient datan = 0

No data in the selected scope.

Budgets are stated intentions collected at exit intent, not verified affordability or signed leases. Treat the retained-demand share as a relative indicator of price resistance, not as an occupancy forecast.