This paper uses a Google forms questionnaire survey to gather data, which is then analyzed to study consumer behavior and the relationship between consumer characteristics and online and offline shopping in order to make predictions about how to best serve both online and offline businesses’ interests.102 questionnaires in total are gathered. To compute frequency, percentage and examine the relationships between different variables spss, Google forms are utilized. The relationship between the two is inferred by examining the linear relationship and the data distribution. Analysis reveals that despite becoming a trend, most individuals still like internet purchasing. However, individuals continue to use an offline method of shopping that is comparable to online shopping. While offline products typically consist of clothing, groceries, snacks, skincare, and make-up products, etc., internet products are typically comprised of clothing, cosmetics, skincare, and snacks. Online purchasing has also become popular in the future. To increase the number of people who buy offline, offline retailers can enhance the overall shopping experience for customers by focusing more on the sensations and actual consumption that shopping brings about.