Abstract: In an exemplary embodiment of this disclosure, a computer-implemented method includes storing in a rules database one or more rules related to customer receptivity. A first subset of the rules is processed, by a computer processor, to determine a computed level of customer receptivity (LOCR) for each of one or more customers. One or more observed LOCRs are received for the one or more customers. Each observed LOCR may be based on contact with a corresponding customer of the one or more customers. One or more predicted LOCRs are predicted for the one or more customers, using one or more predictive models. Each predicted LOCR is based at least in part on an observed LOCR associated with the corresponding customer of the one or more customers. The rules in the rules database are then modified, repeatedly, to reflect the predicted LOCRs and additional predicted LOCRs after they are predicted.