System and method for calculating expected approval rates

The invention facilitates the computation of expected approval rates based on historic transaction data relating to transaction classes, approved transactions and declined transactions. The invention provides a system and method by which a program administrator for a company may model varying client-imposed limit scenarios in order to determine one or more optimal monthly and/or transactional spending limits. Further, the present invention provides a means for setting varying monthly and/or transaction spending limits for purchases from any number of industries. Providing card members with information regarding optimal spending limits reduces the occurrences of declined credit transactions. A program administrator may also utilize the present invention to provide any number of limit scenarios in order to persuade a card member to increase their client-imposed credit limit to an optimal level thereby reducing the card member's inconvenience caused by declined purchase transactions while recapturing lost revenues by the card issuer.