Consumers who live paycheck to paycheck often rely on overdraft protection to carry them through to their next paycheck, however, safely extending users overdraft protection requires a significant investment in risk modeling on the user’s account activity.
Accurately predict the likelihood a user will be able to cover an overdraft. Use Pave’s analytics to predict when the user’s next paycheck will hit their account, their expected balance, and more.
Pave’s Affordability and Risk Scores are trained on a large and growing dataset of over 4 billion bank transactions across our vast network of customers. Our scores help drive lift in your models for predicting the likelihood of default, failed payments or transfers, end-of-day balances, and the amount a user can afford to repay.
Help users proactively deposit the amount they need to avoid an overdraft with our suggested Deposit Amount Required endpoint.
Pave's Balances Model computes the end-of-day balance based on inflows and outflows within an account. Get a user’s account balance history including the number of days the account has had a negative balance, single-digit balance, median balance, and more.
The 450+ attributes in our Attributes Store surface insights into a user’s cashflow including historical and projected income, debt, and ability to make repayments. Use these attributes in your own custom risk model.