Real Estate
Find out why units are staying vacant longer than they should
Listing data, application records and market comparables connected to identify the real reason units are not filling.
Why this decision matters.
Days on market is the cost nobody itemizes. A unit sitting empty is carrying full expense with no income, and the average vacancy figure gives leadership no idea which of the four possible causes is responsible for any given unit.
The failure mode is reflex discounting. Price gets cut on a unit whose real problem was a slow turn, weak listing exposure, or a leasing team that took three days to respond to inquiries. The discount then persists for the whole lease term.
Separating pricing from marketing from turn time from lease-up execution is what turns vacancy into a fixable operational problem. For most portfolios the recovery is measured in weeks of avoided vacancy per unit rather than in rent per square foot.
Comparing tools for real estate? See how SIGNLD compares with Power BI. For the underlying numbers, read vacancy cost against leasing fee revenue.
How SIGNLD answers it.
Step 01
Connects to your source systems
Read-only access to your accounting and rent roll (QuickBooks), your leasing CRM and inquiry pipeline (HubSpot), and listing traffic data (Google Analytics).
Step 02
Builds the graph across those systems
Units, listings, inquiries, tours, applications, turn work, and leases are linked so each vacant unit's timeline can be reconstructed end to end.
Step 03
Returns a ranked brief
The brief ranks vacancy causes by revenue lost, distinguishes pricing from exposure from turn delay from leasing response, and recommends the change with the largest effect.
Reads from.
SIGNLD connects read-only to your existing systems. 800+ integrations available.
What the brief looks like.
The question
Why are Unit 4B types in Building C taking 40+ days to fill?
What SIGNLD found
Unit 4B types in Building C average 43 days to fill vs 18 days for comparable units in the portfolio. Applicant data shows 3 applications per unit on average but 0% conversion rate. The drop-off happens between application and tour, not at the offer stage. Tour scheduling emails are going to an unmanned inbox.
Evidence
- 4B units in Building C: 43-day average vacancy vs 18-day portfolio average
- Application-to-tour conversion: 0% for Building C 4B units in last 60 days
- Tour scheduling reply email routes to an unmanned inbox last active 47 days ago
Recommended move
Fix the tour scheduling email routing today. This is the entire cause of the problem. Estimated vacancy cost at current market rate: $1,800 per week per unit. 3 units currently affected.
19 days average reduction in vacancy duration
Illustrative brief. Figures are sample data, not customer results.
Questions.
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