Pricing for loan products can be configured to respond dynamically to borrower profile data. Common examples include setting maximum/minimum thresholds of change for data points such as:
Credit score
Time in business
Average daily balance
Average monthly revenue
Term
Payment frequency
Rate/factor
A common example might be that a lender varies the APR and approved loan amount as a percentage of revenue depending on credit score. So a borrower with 725 credit might be approved for 12% of revenue at an 11% APR; while a borrower with 675 credit might be approved for 10% of revenue at a 13% APR.