| THE DIFFERENCE IS THE SCIENCE BEHIND THE DATA |
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| Leasing decision that is statistically validated and based on OUTCOMES |
| Rule of Thumb (ROT) and "expert" models typically contain absolute rules. For example, a ROT model may decline an applicant if they do not meet a predefined rent to income ratio of 3:1. What happens if the applicant's rent to income ratio is 2.99:1? Do you want to discard that applicant based on that one metric? ROT models are black and white and do not make decisions based on millions of analyzed leasing outcomes.
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| Statistically validated screening model that uses: |
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Consumer Information, such as credit history |
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Landlord-Tenant Records |
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Consumer Subprime and Alternative Credit records
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Property-Specific Factors, such as security deposit, rent, etc. |
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Personal Financial Performance, such as timeliness of payments, debt load, credit strength, etc. |
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| A decision that predicts the likelihood of a lease being fulfilled, versus one that predicts an applicant's ability to pay their bills on time.
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Paying the minimum balance owed on a credit card bill each month is vastly different than paying your rent on-time each month. That's the reason our statistically validated screening model uses a myriad of other components listed above, in addition to personal finance performance and credit strength.
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| Critical data not available anywhere else: |
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34 million Eviction / Landlord-Tenant Records |
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37 million Consumer Subprime and Alternative Credit records |
