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The purpose of the paper is to segment and profile the Indian shoppers in the context of organic foods in India. It proposes to use a healthy lifestyle (HL) as a segmenting variable and to use a factor-cluster analysis approach to achieve the same. The current study is expected to add a substantial base to the segmentation literature in marketing.

Food stores in Indian metropolitan city Chennai are sampled, and data is collected in the form of a mall intercept survey method. In total, 441 usable structured questionnaires are filled by the respondents which are subjected to suitable statistical analysis.

Three significantly different consumer segments emerged from the given sample of respondents, which shows uniqueness concerning consumer’s, HL features, demographics and the variables of the theory of planned behavior (TPB).

Clustering method used to segment the potential shoppers of organic foods is an exploratory technique only. It cannot be treated or generalized to the population like those of inferential techniques. The researcher suggested testing the same with a larger sample size and in a different context. It is limited to urban and suburban facets of the metropolitan city in India.

The study will be helpful to marketers and decision makers to target the potential organic foods consumers.

The purpose of this paper is to determine the impact of food-related lifestyle (FRL) and food-related personality traits (FRPTs) on customer satisfaction and loyalty so that sufficient evidence for forming a new pattern of predictors of customer satisfaction and loyalty can be explored.

The research method in this study was the descriptive type and was based on the goal of the applied research methods. Data were collected from 384 sample group consumers of chain stores in the city of Tehran. The hypothesized relationships were tested using structural equation modeling (SEM).

Final results of study showed the significant effects of FRL and FRPT on satisfaction and loyalty of consumers. This indicates that aforementioned variables can create customer satisfaction and loyalty toward food. The research conceptual model was confirmed with goodness of fit.

First, the sample consisted of customers who use a wide range of food despite diverse motives and interests. While knowing that costumers’ specific traits about food would have provided a more detailed and comprehensive understanding, conducting research in a set of general food consumer without considering special foods category could be a limitation. Second, and more importantly, since the customer behavior in consumption choices is an unconscious and cognitive process, other factors and domain that are linked to customer satisfaction and loyalty would have been missed.

This study shows that understanding the behavioral aspects of food consumption can help food producing companies to adjust their production and specially to foresee changes. Marketers are advised to investigate customer traits to promote customer satisfaction and loyalty effectively. This paper contributes to the body of knowledge in food marketing.

The present study offers a unique and valuable insight into a customer’s behavior and deepens customer satisfaction and loyalty by incorporating FRL, food neophobia scale and food involvement scale as independent variables to contribute knowledge in the context of food marketing, and throws some light upon the predictive power of mentioned variables on customer behaviors.