Buy Now, Pay Later
BNPL is revolutionizing the way consumers purchase goods and services of all kinds. By utilizing Highline, BNPL platforms are taking the guesswork out of consumers’ juggling multiple bills with different repayment dates and amounts. Automating repayments results in fewer late or missed payments, reduced losses, and delighted users.
Lenders and billers using payroll-linked payments see a 2/3rds decrease of non-repayment for the average working customer.
Lenders and billers have healthier relationships with customers because both have visibility of customers’ income.
Customers perform, on average, as if their credit score were 80 points higher, lifting about 40MM people out of subprime.
Lenders can offer loans that are generally 25% lower-priced with the same level of risk as conventional repayment methods.
Customers enjoy simplified money management as required bills paid first and 'free to spend' money in their checking account.
Features
Minimizes product impacts by synchronizing payroll inflows/payment outflows regardless of frequencies
Minimizes operational impact by handling job changes, modifications, end of loans, and more
Maximizes coverage by accepting any income type, including 1/3rd of the time where splitting the routing is not possible (Social Security for example)
Maximizes coverage and conversions through direct API integrations with payroll platforms
Minimizes regulatory risks by accepting protected incomes and respecting UPAAD guidance
Use Cases
Expand Credit. Approve marginal declines with Highline as the required payment method
Offer Payment Choice. Higher limits, better terms for new customers that agree to use Highline
Eliminate Checks. Require new customers to set up either Highline or ACH/card debits before enrolling in the service
Dedicated Payroll Repayment Product. Offer a differentiated product that requires Highline, increasing originations from a target segment
Convert Existing Customers. Offer special deals or incentives to convert existing customers to Highline, especially in high-risk segments