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Original Article | Volume 2 Issue 2 (ACR, 2025) | Pages 234 - 243
Optimizing Reward Points Redemption in Online Shopping: Analyzing the Influence of Product Categories and Special Occasions
 ,
1
Professor, Department of Business Management, NSB Bangalore, Affiliated to Bangalore University, Bangalore.
2
Associate Professor, NSB Bangalore, Affiliated to Bangalore University, Bangalore.
Under a Creative Commons license
Open Access
Abstract

This paper aims at comparing the proper redemption of points across various categories of products and occasions of purchase online. The target of the study is to examine how different categories of products (electronics, clothes, groceries, etc.) and event-type (times of celebration, holiday etc.) may affect the redemption of products. Questionnaire survey data were collected from 500 participants, and analysis of the collected data was by the use of descriptive statistics, EFA, ANOVA, multiple regression, and SEM. That results depict electronics (30%) and cloths (25%) as the most reclaimed products, and these they differ significantly with special occasion and festive seasons. The ANOVA test conducted showed that there was difference in the level of redemption behavior by category, with electronics recorded the highest mean redemption percentage of 30%. SEM analysis results indicated that occasions had significant influence on the reward programs toward attitudes and types of products than the type of occasions from reward programs. From these results it could be deduced that marketing can improve the reward schemes by directing them towards particular products which would be appropriately used at certain occasions.

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