
Yelahanka  subdistrict  of  Bengaluru  Urban  district, 
capturing  insights  from  customers  either  before  or 
after their banking transactions. This method ensures 
that the data reflects genuine customer experiences 
and  attitudes  towards  the  CRM  practices  of  their 
respective banks. 
The  study  encompasses  a  sample  of  200 
customers  from diverse  backgrounds,  ranging from 
agriculture to homemaking, residing in the Yelahanka 
subdistrict.  To  ensure  a  comprehensive 
understanding, four bustling localities were chosen: 
Yelahanka  Old  Town,  Hunusamaranahalli, 
Yelahanka  New  Town,  and  the  broader  Bengaluru 
area. The banks involved in the study included major 
players like ICICI, HDFC, Axis, Indusind, and Citi 
Bank. Participants were selected using a convenience 
sampling  technique,  which  involved  approaching 
customers  at  different  branches  of  these  banks, 
ensuring  each bank  had  equal  representation  of  40 
participants. 
Data  collection  was  conducted  through  a 
structured  questionnaire,  designed  as  the  primary 
research instrument. This questionnaire employed a 
bipolar Likert 5-point scale to measure the intensity 
of  customer  opinions  regarding  various  aspects  of 
CRM  practices.  The  choice  of  a  bipolar  scale 
facilitated  the  capture  of  a  spectrum  of  customer 
attitudes,  from  strongly  agree to  strongly  disagree, 
thus  enabling  a  nuanced  analysis  of  customer 
satisfaction and engagement. Additionally, the study 
utilised secondary data sources, including academic 
books, e-journals, and relevant websites, to enrich the 
analysis  and  contextualise  the  findings  within 
existing literature. 
Data  analysis  was  carried  out  using  robust 
statistical  tools  such  as  the  chi-squared  test  and 
contingency  coefficient,  aimed  at  assessing  the 
relationships and dependencies between the variables 
under study. The Garrett Ranking method was also 
utilised to prioritise the factors as per their influence 
on  customer  satisfaction  and  loyalty.  The  findings 
were  systematically  presented, with  a  focus  on  the 
socio-economic  characteristics  of  the  respondents, 
such  as  gender,  marital  status,  age,  education, 
occupation, monthly income, account types, and the 
duration  of  their  relationship  with  the  banks.  This 
comprehensive  methodological  approach  ensured  a 
thorough  exploration  of  CRM  practices,  offering 
valuable insights into how banks can enhance their 
customer relationships in a competitive sector. 
 
 
 
 
8  RESULT AND ANALYSIS 
In examining the influence of socio-economic factors 
on the study of Customer Relationship Management 
(CRM) practices within private commercial banks, a 
rigorous analysis has been conducted, as evidenced 
by  the findings presented in  Table  I. This analysis 
categorises the respondents based on various socio-
economic  characteristics,  including  gender,  marital 
status,  age,  education,  occupation,  and  monthly 
income,  as  well  as  their  tenure  with  the  bank  and 
whether they hold accounts with different financial 
institutions. The chi-square  (χ²)  test  was  utilised  to 
determine  the  statistical  significance  of  the 
differences  observed  in  these  categories.  It  is 
noteworthy that except for two categories—namely, 
the  presence  of  multiple  bank  accounts  and  the 
duration  of  the  relationship  with  the  bank—
significant  and  substantial  relationships  have  been 
identified  across  all  other  demographics, 
demonstrating a high degree of variance. 
The implications of these findings are profound, 
suggesting  that  socio-economic  parameters  indeed 
play a pivotal role in the application and efficacy of 
CRM  practices.  For  instance,  the  significant 
differences  observed  across  age  groups  and 
educational levels indicate that CRM strategies may 
need  to  be tailored  to  meet  the  specific  needs  and 
preferences  of  distinct  demographic  cohorts. 
Similarly, variations in occupation and income levels 
may  influence  customers'  expectations  and  their 
perceptions of value, which are critical components 
in establishing and maintaining long-term customer 
relationships. This supports the alternative hypothesis 
(H₁)  that  socio-economic  characteristics  do  impact 
CRM  studies,  thus  challenging  the  null  hypothesis 
(H₀) which posited that these factors do not influence 
CRM. 
Ultimately, the research underscores the necessity 
for banks to adopt a customer-centric approach that 
recognises  and  addresses  the  diverse  backgrounds 
and needs of their clientele. This approach not only 
enhances customer satisfaction and loyalty but also 
positions the banks to better manage their customer 
relationships  in  a  dynamic  and  competitive 
environment. These insights are particularly valuable 
for formulating strategic decisions and refining CRM 
practices  that  are  inclusive  and  effective,  thereby 
fostering  enduring  customer  relationships  that 
contribute to sustained business success. 
 
 
 
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