Analysis of the Electric Power Marketing Strategy Based on the Big Data Dual Channel Marketing Model

Electric power marketing is faced with a number of endogenous and exogenous risks while it is in full swing. And it has become the problem to be solved urgently to accurately identify these risk factors and their influences, so as to promote the smooth development of the electric power market. In this paper, the data related to 167 enterprises operating in the electric power market in Shanghai, Guangzhou, Qingdao and other cities are adopted. And the big data dual channel marketing model is used to analyze the risk factors of the electric power marketing. Studies show that the key risks that influence the electric power marketing include the network marketing risk, the cross-border electronic payment risk, the electronic customs clearance risk, the logistics risk and the credit risk; laws and regulations can have an indirect impact on the power marketing by influencing the online transactions, the customs clearance and other means.