This study aims to examine consumer types based on pet food selection attributes and to analyze the differences in consumer characteristics by those types. In this study, the researcher uses k-means cluster analysis and crossover analysis to determine market segmention, and then analyzes the resultant characteristics by categorizing consumers. A total of 202 cases are used for this study. First, the selection attributes are classified into the six factors of credibility, quality, design, convenience, information, and price. Second, the clusters are categorized into the four clusters, which are designated pet food lower-involvement type, pet food information- and price-seeking type, pet food convenience-seeking type, and pet food higher-involvement type. Third, these four groups exhibit statistically significant differences in terms of occupational variables, number of pets, and purchase frequency. The results of this study may provide helpful information in establishing customized, market-based marketing strategies based on the characteristics of pet food consumers.