2025, Vol. 7, Issue 7, Part A

Author(s): Ajay Vishwas Ahiwale and Vandana Hindurao Shinde

Abstract: This research entails quantitative analysis of data drawn from 200 respondents who are the consumers of home appliances to determine how the interaction between consumer purchasing behavior and the marketing stimuli is complicated. In 15 appliance categories, the study investigates the relationships between demographic factors, information sources, channels of purchase, payment methods, and ownership trends. Data reveals that retail stores (44%) and dealers (42%) are the biggest means of selling, while television (40%) and word of mouth (37%) are the main means of information. Chi-square analyses further show that there is a significant relationship between income and buy mode (χ²=9.825, P=0.0201) and also a significant relationship between income and credit alternatives. This is strongly correlated with the breadth of owned appliances and education level (r=0.894, P=0.0408). ANOVA suggests that information source choices have great differences as a function of income segments (F=3.742, P=0.0118), while multiple regression shows that income, education, and family type are important predictors for appliance ownership (R²=0.372). Based on the demographic profile, the population is comprised of 73 percent women, 67 percent in the 21-40 age range, and 75 percent that are of nuclear families. The ownership research reveals that certain appliances (fans, TVs, and microwave ovens) are used by 84% of the owners, but only equipment such as chimneys is used by only 2%. In light of these results, marketers will find these useful in creating consumer segment-based, targeted strategies that improve marketing efficacy across different appliance categories and demographic profiles.

DOI: 10.33545/27068919.2025.v7.i7a.1540

Pages: 30-36 | Views: 58 | Downloads: 20

Download Full Article: Click Here