Consumer data analysis and its managerial application for the grocery industry

Consumer data is collected to understand the heterogeneity of consumer behavior and store competition in grocery shopping. Marketing research techniques are used to analyze consumers' decision processes and their preference models. Initial modeling results are aggregated to search for substantial clustering patters. The demographic profiles are also examined for clustering interpretations. The derived research results can assist grocery industry to better understand its customers and the competition within the industry. Also, Consumers' perceptions of competing stores are collected to create perceptual maps. Strategic analysis is conducted by studying the relative positions of competing stores.