Abstract: A system and method contact a customer of an energy utility to solicit participation in an energy efficiency, sustainability, or reliability program. The system receives data pertaining to each customer, the data for each customer having a plurality of attributes pertaining to a customer descriptive characteristic, communications history, energy usage, or attitude. The data are normalized to a canonical form, and populated in a multivariate data model. Data in the model is clustered using a multivariate algorithm. Each cluster is assigned a utility customer segment, such as “Concerned Green” or “DIY”, that reflects the prevalent attributes. For each segment, the system determines a prospect subset of the customers most likely to participate in an offering pertaining to that segment according to a likelihood threshold. Finally, a prospect customer is contacted with an offering that may be customized according to the assigned customer segment.