
The LeasingDesk scoring engine is a statistical analysis model that also allows you to set the scoring thresholds to meet your property’s criteria. This flexibility works to maximize occupancy while minimizing the risk of bad debt. The screening report is a single score that’s returned in a “pass-fail” format within seconds.
There are various scorecards to handle all types of applicants, including cosigners, set-asides, and students. In situations such as a co-signor, both applicants can be scored at the same time. The simple score result, along with an easy-to-read report, make it easy for your leasing agents.
The outcome is determined by a combination of the statistical score and rules that you determine on non-statistical factors such as the applicant’s past criminal history, medical collections and student loans. This flexibility allows you to maintain your acceptance standards for cases such as, foreclosures, different criminal types, and applicants with minimal credit history.

If the outcome is a conditional approval, such as a guarantor requirement for a student, or the result is a denial, an “adverse action” letter is automatically generated. This informs the applicant why they were declined and makes them aware of their rights under fair credit laws.
So you can be confident your leasing staff can professionally manage a recommendation to decline and most importantly, that the recommendation is based on scoring parameters that are protected under fair housing and fair credit laws.
Your resident screening information can be looked at in a multitude of ways for more informed decision making, including site level, portfolio and custom reports.
Track the effectiveness of your marketing efforts and what type of applicants they drive to your community.
Ensure that your properties adhere to corporate policies and fair housing standards.
Analyze your scorecard for opportunities to tune for better quality occupancy and less delinquency.
Track non-statistical data such as, evictions, fraud alerts and criminal data.