Buying behavior of customers.

Buying behavior of customers
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Table of Contents
Abstract......................................................................................................................................3
Introduction................................................................................................................................4
Data Analysis.............................................................................................................................4
Descriptive analysis................................................................................................................4
Regression analytics...............................................................................................................7
Managerial interpretations and Implications..............................................................................9
Conclusion................................................................................................................................10
References................................................................................................................................11
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Abstract
Using the Pearson correlation and multiple-regression modeling buying behavior in terms of
mall visit frequency was estimated from age, credit card debt, neighborhood, and earning
pattern of consumers. The sample included demographic information and income, shopping
center visit regularity, neighborhood, and credit card liability for 856 customers. In the
sample, 53.5% were male buyers. Average of buyers was 38.78 years (SD =$ 9.61) with
average income of $ 45266.94 (SD = $ 28631.29), and average cc debt of $ 1431.20 (SD = $
1278.04). Age of buyers, earning type, CC debt and buyers from the western region were
statistically significant estimates of purchase frequency.
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Introduction
Marketing in shopping malls is an emerging trend for purchasing varieties of commodities
under a single roof. It has great potential because of high penetration and great popularity in
urban areas. This study is about the relationships between mall shopping frequency and
background variables, both demographic and those related to shopping motivations, which
characterize the shopping tendency of a customer. It is well known that buying behavior
depends on the gender and age of customers. Also, affinity towards credit card usage inflicts
positive buying tendency (Arabzadeh, and Aghaeian, 2015, pp.245-256).
Specific reasons underlying mall visits are scrutinized with the help of the multiple regression
model. Using Pearson’s correlation the scholar obtained correlations between customer
variables and shopping frequency. The scholar was able to summarize age, income,
frequency of mall trips, and credit card debt through the descriptive summary. Causal relation
and corresponding hypothesis about the relationship between mall shopping frequency and
characteristics of shoppers such as age, salary type, and credit card debt were tested. A causal
relationship between buying or mall trip frequency and customer variables was established.
Data Analysis
Descriptive analysis
The sample consisted of demographic details along with income, frequency of shopping in
malls, credit card liability of 856 customers. The sample comprised 53.5% male with an
average age of 38.62 years, and 46.5% of females with an average age of 38.97 years. Sample
was primarily from west neighborhood (P = 43.46%), followed by east (P = 32.36%), and
south (P = 24.18%) neighborhoods. Salary payment options were also scrutinized, where
56.19% of participants were identified who earned their income through monthly salary and
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