Researches relating to consumer satisfaction fall into categories of researches which marketing managers in especial and business managers in general place emphasis and perform with accuracy. It should be regularly analyzed at which rate business operations meet the demands and needs of customers and which amendments need to be performed. Consumer researches are one of the difficult research type in implementation. Although firms have selected target audience, it is vital importance for marketing managers to assign needs and desires, expectations and satisfaction levels of consumers which are in target audience correctly. It is not always easy to decide about which methods to be employed in researches relating to customer satisfactions just as all researches. The method to be selected influence the objectivity of research results and this will influence the productivity of the operations to be performed. It will be useful for both academicians and related sectors to determine most suitable method for related research by comparing useful analysis. In this research, the method of artificial neural networks, which come to the forefront by the years 2000, and regression analysis which is employed occasionally in satisfaction researches have been reviewed and the practise performed to Ankamall customers analyzed comparatively.