Footwear Case Study

A STUDY ON CUSTOMER SATISFACTION ON FOOTWEARS
IN THENI DISTRICT Abstract
The buying process that goes into a purchase. With customers becoming increasingly fashion conscious and wasteful, and the industry becoming more global in its appeal, the consumers purchase pattern has also seen a shift in terms of various parameters. However, in a diverse Indian market, the entire consumer base can be segmented to use the Bottom of the Pyramid approach. This paper to analyze consumer behavior for footwear in Theni district.
Key words: Questionnaire survey, Customer satisfaction.
Introduction
Today, footwear is made out a number of materials like leather, PVC, artificial leather, canvas, wood, plastics and cloth. Called by different names, footwear

The main objective of this research is to analyze and asses the satisfaction level from the customer. In this research, the researcher focuses on the customer satisfaction level. Footwear are in a position to satisfy this need. Now days the Footwear is customer oriented. The changed environment creating new customers and retaining the existing ones have become difficult tasks for Footwear. To meet the competition, creating satisfaction of customers has become primary objective of

Data Collection
Both primary and secondary data used in in the present study.
Primary data collected through personal interview in the form of questionnaire form 80 respondents.
Secondary data collected from various journals, books, magazines.
Tools for Analysis The collected data has been analyzed by using following statistical tools:
 Percentage Analysis
 Garrett Ranking
 Likert Scaling
Limitation of the study
 The study is limited to respondents from Theni district.
 This project concentrates on the services given to customer in general. Therefore, it is difficult to study the view of the customers towards one particular service.
 It was difficult to study what happens to customer satisfaction when we initially perceive a service provider as being less than general than overtime, that service provide warms up unexpectedly.
Analysis of Data
1 Socio Economic status of the respondents
Table 1.1 Socio Economic status of the respondents
Gender
Variables Categories No of respondents Percentage

Sex Male 27 34 Female 53 66
Age of the respondents

Age 18-30years 49