.

ISSN 2063-5346
For urgent queries please contact : +918130348310

UTILIZING MULTIPLE REGRESSION ANALYSIS TO PREDICT CONSUMER BEHAVIOR IN MARKETING

Main Article Content

Abstract

The profitability of a business is intricately linked to customer behavior, a dynamic that can fluctuate based on diverse needs and temporal considerations. Customer behavior is influenced by a myriad of factors, encompassing age, gender, lifestyle, personality, and more. Moreover, the timing of these behaviors significantly impacts the types of products customers choose to purchase. The interplay between different items in a customer's shopping basket further amplifies the sales of one item depending on the presence of another. This paper employs a multivariate regression approach to analyze customer behavior, specifically focusing on grocery items as a predictor. The study takes into account cultural, social, personal, and psychological factors that contribute to the purchasing decisions of customers. Additionally, the research tests hypotheses based on these factors and the items purchased by different social groups, providing valuable insights into the intricate relationship between customer behavior and various influencing elements

Article Details