To effectively select users for smart electricity services in the context of the retail market，a user prioritization method for smart electricity services is proposed.First，according to the physical characteristics of user load data and the behavioral characteristics of transaction data，the value index system of smart electricity services is proposed from two aspects of established value and potential value.Then，based on the G 1 method and the improved entropy weight method，the comprehensive weight of the evaluation index is solved，and a user prioritization method for smart electricity services is proposed，which provides a new idea for improving the service efficiency of the operator.Finally，the simulation analysis is conducted on retail users ’ transaction and energy consumption data in a certain area，which verifies the effectiveness of the proposed method.