The method 200 selects a predictive model from a plurality of predictive model, by selecting a predictive model for which the set of enterprise customer data has the highest expected impact on likelihood of a respective business outcome associated with that predictive model. The selected predictive model, including a logistic regression model operating in conjunction with a tree-based model, determines a value prediction signal for the identified customer. Based on the value prediction signal determined, the predictive model classifies the identified customer into one of a first value group and a second value group. When the predictive model classifies the identified customer into the first value group, the call management system routes the call received from identified customer to a first call queue assignment, i.e., first queue position and/or first call queue. When the predictive model classifies the identified customer into the second value group, the call management system routes the call received from identified customer to a second call queue assignment, i.e., second queue position and/or second call queue.