The deepening of the new electricity system reform has accelerated the formation of a pattern of more buying and selling in the market. Precision power marketing based on data mining plays an important role in strengthening customer relationship management and enhancing market competitiveness of power enterprises. Based on the service policy list combing results, sample customers in Jiangsu Wujin are taken as training samples, big data analysis method based on random forest recommendation algorithm is adopted , the service policy recommendation model is explored and constructed , differentiated and precise push of service strategies for customers with different attributes is realized.