A case study on impact of impulsive buying behaviour of customers on business

Abstract

For many years, retailers have recognized impulsive purchases as a key factor in boosting overall sales volume.In order to offer a comprehensive account of impulsive purchasing, we have combined the many accessible research papers in the subject of Consumer Behavior.Buying on impulse is a spontaneous occurrence driven mostly by instinct.A shopper buys something without giving it much thought or doing any background research.This is the situation that stores and marketers hope to profit from.They provide these short-lived pleasures in novel packaging, along with satiation of more fundamental desires.Consumers become easy targets when businesses prioritize short-term gains above long-term satisfaction.Emotions are the source of instincts, while attitudes and perceptions are the basis of emotions.Customers' psychological and physiological needs are well-served by impulse purchases.The final choice to buy is the most crucial part of any purchase.The purpose of this article is to use machine learning to determine the following: how much of an impact store size and positive feedback have on customers' impulsive purchase behaviour; which attributes have the greatest impact on these factors; the relationship between impulse and total purchase; and finally, the primary reason to shop at a particular store.Descriptive and analytic methods were used for this study.Two hundred forty-eight clients in China make up the sample size.The data for this study were gathered by direct research using a standardized questionnaire.Methods such as analysis of variance (ANOVA), t-tests, chi-square tests, and percentages as well as Garrett's ranking.