Why traditional screening fails
Credit scores were designed for lending decisions, not rental predictions. Here's why the industry standard leaves money on the table.
Credit scores miss context
A 620 credit score tells you almost nothing about someone's likelihood to pay rent on time. Medical debt, student loans, and a missed car payment during a job transition are treated the same as chronic financial irresponsibility.
Meanwhile, someone with an 800 score who's never rented before might be just as risky—you simply don't know.
Things that tank credit scores but don't predict rent behavior
The vacancy cost math
Every rejected applicant extends your vacancy. The "safe" choice often costs more than the risk.
The real cost of "No"
When you reject an applicant, you don't just avoid risk—you incur certainty. Certain vacancy costs. Certain marketing expenses. Certain time spent showing the unit again.
Traditional screening optimizes to avoid bad tenants, not to find good ones. The result? Longer vacancies and lost revenue while you wait for that "perfect" applicant.
Good scores don't guarantee good tenants
High credit scores predict loan repayment, not rental behavior. Someone can have perfect credit and still be a problem tenant.
- Move out after 6 months for a better deal
- Damage the property through neglect
- Be unresponsive and difficult to work with
- Violate lease terms without consequence
What actually matters for rentals
There's a better way
LeaseCraft combines behavioral signals with traditional data to give you the full picture—and specific recommendations you can act on.