Abstract Purpose; In this study, it is aimed to determine the effects of recommendation systems (those who bought this product also bought these, similar products, collections that may interest you, etc.) and comments (Excellent product, I highly recommend, products given five or one star, products given five or one star, positive or negative consumer comments such as I strongly do not recommend you to buy, or positive statements used by sellers in product marketing, etc.) on consumer buying behavior on online shopping platforms. Methodology; Survey method, which is one of the primary data collection methods, was utilized in the study. The data of the study were obtained by using face-to-face and online survey method. Quantitative methods were used to analyze the data, and correlation analysis, regression analysis, T-t test and Oneway Anova test were used. Universe and Sample; The population of the study consists of consumers over the age of 18 who shop online. From this main mass, 400 people selected by convenience sampling method constitute the sample group of the study. Results; Analyzes made in line with the data obtained reveal that customers are influenced by the suggestions and comments of sellers and other customers.
Consumer behavior, Marketing communication, Online (Online shopping)