<p>Precision marketing to market consumer groups is an important means for enterprises to improve their competitiveness. This paper firstly analyzed the rencency, frequency, and monetary (RFM) model and k-means algorithm. Taking enterprise A as an example, this paper collected the basic data and consumption data of consumers through a questionnaire survey and obtained RFM index data from the data. The consumers of enterprise A were divided into three clusters using the k-means algorithm: practical type, business type, and collection type. After inspection, the silhouette coefficient value of the clustering result obtained by the k-means algorithm was 0.1233, and the Davies Bouldin index value was 1.6254, which was superior to clustering methods such as agglomerative nesting. A simple analysis of different types of consumer portraits was conducted. Some precision marketing suggestions were put forward. The research of this paper verifies the usefulness of consumer portraits in precision marketing, which can provide powerful help for the precision marketing of market consumer groups.</p>