Demand IntelligenceStudent housing demand analytics
Data as of –Method

Risks & Opportunities

Every row is generated from the data in the current scope — sample size, evidence tag and confidence included. Re-uploading the exports regenerates the whole matrix.

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.

Recent movement

Insufficient datan = 0
Observation
No statement possible: the exports carry no submission dates.
Interpretation
The figure is absent from the exports, not zero — reading it as a result would be wrong.
Investment implication
Re-import the search and lead exports including their timestamp columns.

Evidence base

Insufficient datan = 0
Observation
No statement possible: no records fall inside the current filter.
Interpretation
The figure is absent from the exports, not zero — reading it as a result would be wrong.
Investment implication
Reset the filters or import the three exports on the Data page.
Risks identified
1

Findings where observed demand works against the business plan.

Calculatedn = 0
Opportunities identified
0

Findings where observed demand supports upside.

Calculatedn = 0
Most price-sensitive location
–

No location with enough valid budgets.

Insufficient datan = 0
Strongest momentum
–

Not enough complete weeks per location.

Insufficient datan = 0

Risk matrix

1 risk derived from the current scope.

1 rows
TypeAreaWhat the data showsBasisSample (n)EvidenceConfidencePossible action
RiskData0 of 0 leads carry an unusable budget. No shared session key links searches, configurator and leads, so price × product statements stay at location level.– of leads excluded from price analysis0ObservedHighWork the tracking roadmap: form validation, a shared session id and a booking export.

Opportunity matrix

0 opportunities derived from the current scope.

No opportunities derived from the current scope.

Where are searchers most price sensitive?

We count the share of each location's budgets that are below –, the cut-off for the cheapest quarter of all budgets. Across the portfolio this share is – and is set to 100. A location at 200 has twice as many low budgets as the portfolio; at 50, half as many.

Calculatedn = 0
More price sensitive0

Index 120 or higher — many low budgets, pricing risk

None

In line with portfolio0

Index between 80 and 120

None

Less price sensitive0

Index 80 or lower — few low budgets, pricing headroom

None

Insufficient data for this chart.

No data in the selected scope.

Emerging demand by location

Change in weekly search volume, last four complete weeks against the four before. Locations with fewer than 30 searches in the earlier window are omitted.

Calculatedn = 0

Not enough complete weeks per location in the selected period.