Business Weekly (2003, 11) reported that female managers 25 to 34 had increased by 25% in the end of 2000. 51% of buyers were female in a company. Even, 85% of purchasing decisions were made by women. (Barletta, 2003) Such kind of situation means that female purchasing power is increasing. With the fast development of female market, it can not be ignored the new business opportunity, of course, including the automobile industry. According to the report of American CNW Market Survey Company in 2003, 49% of American new car buyers were female¡F80% of car-purchased decisions were determined by women. Besides, the data of Ministry of Transportation and Communication of R.O.C. in 2004 pointed out that the proportion of domestic female car owner were up to 28.3%, which was rose by 8.9% than in 1998. This tells that the female car market is a hidden cake for marketers. The purpose of the study is to figure out which kind of auto product attributes mix female car consumer will pay more attention to and to investigate the difference of product attributes preference in order to provide marketing strategies for companies. The conceptual of framework of the study was based on EBM consumer behavior model. The study took auto product attributes and consumer demographics as input variables¡F lifestyles variables as the bases of female car market segmentations. Moreover, characteristics of different lifestyles segments were described by several variables that affect the buying process. And respondents were willing and able to buy a car in Kaohsiung area, including car users and potential buyers. Factor analysis was employed for dimension reduction, then cluster analysis was applied for classification, and some statistical method, such as MANOVA, ANOVA, chi-squares are used to test the research hypothesis. The study figured out, through the process of segmentation, three female car consumer types: stylish, omnibearing, and chaste. Besides, the research further showed that three different lifestyles segments had significant difference in the following variables: information source, auto product attributes, purchase price, purchase brand, purchase type, loyalty, and the demographics which included age, occupation, and family life cycle.