1Professor, Department of Commerce, Shaheed Bhagat Singh College, Delhi University, India
2Professor, Thompson Rivers University, British Columbia, Canada
3Student Researcher, Shikshantar, India
4Student Researcher, Thompson Rivers University, British Columbia, Canada
Online Published on 24 June, 2022.
E-commerce is an ever-intriguing field of research for both businesses and academic researchers. The online medium makes it easy to set up the business, and hence the competition to make the customer stick to the website/app is immense. In this research paper, the effort is made to derive the factors known to cause the retention of the customer viz., Loyalty (both brand and App), pricing strategy, sales return ease and possibility, customer service, wrt age of the respondents.
Exploratory Factor analysis was applied to the 4700 responses received, to derive the factors which help a website/app recognize what factors matter more for a particular age group. A Kaiser-Meyer-Olkin (KMO) with a value of.823 indicates that the adequacy of the sample for Factor Analysis and Bartlett's test of Sphericity is the chi-square value 4740 and df is 120 and p-value is less than.001 reveals that the sample was suitable for the EFA.
Each age group is unique with its demands for the features that make them stay on the website and make repeated purchases. 18-24-year-old work on the simple mind mechanism, and that is, brand loyalty matters to them and is less demanding in terms of services compared to the other age groups. With most of the 25 - 34-year-olds being tolerant of all levels of customer service, e-commerce businesses are presented with an opportunity to maximize profits as consumers are less price and return policy sensitive. In these upper age ranges, this research furthers the idea that lenient return policies lead to a higher chance of retention; Respondents >45 years of age are brand Loyal and not App loyal. Variety is the key across all age groups.
The study is unique in its derivation of factors relevant to the different age groups, which can be considered while making efforts to retain the customers.
Customer Retention, Customer Service, Pricing Strategy, Sales Returns, Exploratory Factor Analysis