A COMPARATIVE STUDY ON ONLINE AND OFFLINE SHOPPING

This study aims to identify the factors that influence customers’ choices between in-store and online shopping, as well as any relationships (direct or indirect) between these factors and the two channels. To better comprehend the factors that impact our choices to purchase online or in a real store, this research will function as a theoretical examination. Drawing findings from graphical analysis requires first determining which demographic groupings prefer online shopping over more conventional brick-and-mortar establishments. An analysis of correlation can shed light on the nature of the connection between the product’s price and the quantity sought for. Simple regression analysis is a statistical method that uses the value of one related variable to estimate the value of another connected variable. Here, we’ll estimate the quantity purchased online using the cost value. Clothing and cosmetics account for the bulk of women’s monthly online product purchases, with an average of one unit per customer. The most effective and widely seen form of advertising is discount commercials targeted at female consumers. The average male spends more money each month than the average female, shops at supermarkets instead of specialty businesses, and prefers to purchase gaming gear online. The quantity bought has an inverse relationship with the cost per unit.