NSFs from failed collections. Cash advance providers face losses due to insufficient funds in users’ accounts.
Model limitations.Earlier-stage providers lack enough default history. Later-stage companies face difficulty expanding to new segments.
Lack of history. No visibility into how a user repaid cash advances across competitive cash advances.
The Solution
Reduce NSFs.Retrieve predictions and signals about a user’s income, balance trends, and cashflows.
Proven models. Leverage Scores trained on our growing dataset of cash advance repayments.
Historical performance.Access a user’s cash advance payment history across competitors’ apps. Offer new users 2-3X more in advances without increasing defaults.
Products
Cashflow API
Unlock comprehensive customer financial data for intelligent credit decisions.
Attributes
Drive lift in risk models with 1000+ Risk & Affordability Attributes.
Scores
Predict borrower cashflow behavior built on billions of data points.
Find out how cash advance apps leverage Pave’s Cash Advance Scores to increase revenue up to 27%