Cash Advance

Score customers for cash advances

Leverage risk signals to personalize advances, approve more customers, and decrease defaults.

Used by: Cash Advance / Payday loan alternatives / Small dollar loans / Payroll advances / Earned wage access

The Problem

Lack of history. No visibility into how your customer repaid cash advances from other services.

NSFs from failed collections. Cash advance providers face losses due to insufficient funds in your customers’ accounts.

Model limitations. Earlier-stage providers lack enough default history. Later-stage companies face difficulty expanding to new segments.

Pave's Solution

Personalize advances. Offer new customers 2-3X higher advances by uncovering positive payment history across multiple apps.

Reduce NSFs. Retrieve predictions about your customer’s income and balances to prevent failed payments.

Leverage proven models. Drive lift in your models with Pave Scores trained on our growing dataset of cash advance repayments.


Cashflow Analytics

Forecast affordability with a real-time view of income, expenses, liabilities and more.

Attributes Store

Generate 1000+ Risk & Affordability signals to train and backtest your loan pricing, pre-qualification, and risk models.


Predict cashflow outcomes including the likelihood and ability to repay.

Find out how cash advance apps leverage Pave’s Cash Advance Scores to increase revenue up to 27%

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