1) The document proposes a marketing strategy to enhance customer loyalty for RAM Water, a water processor product experiencing declining sales.
2) It reviews literature on customer loyalty and satisfaction and how the marketing mix (7Ps) can impact satisfaction.
3) An analysis was conducted using SEM-PLS to evaluate the relationships between the 7Ps, customer satisfaction, and loyalty using data from 153 RAM Water users. The results showed the 7Ps significantly impacted satisfaction which significantly impacted loyalty.
To improve the quality of television service subscribed by XYZ Television Subscribe conducted
research using the Six Sigma application aimed at reducing the defect from 3.4 defective per million
opportunities and, prioritizing technical response actions and generating strategic recommendations that the
company should take to improve the quality of XYZ Television Subscribe services, to identify subscription
television dimensions valued by customers with the SERVQUAL approach and Six Sigma where customers are
asked to evaluate performance from 5-dimensional service properties like Tangible, Reliability, Responsive,
Assurance. The Alpha coefficient of reliability is 0.122 compared to Table r with N = 30 (r Table 0.367). So,
Alpha = 0.971> 0.367 which means the instrument has reliable research. Overall, it can be interpreted that the
prose capacity of service at XYZ Television Subscribe is average at 2.06 sigma, with the DPMO 291357.142
and service satisfaction level of 71%. The biggest sigma level is on the Responsiveness dimension of 2.30 sigma
with the DPMO value of 212500 and satisfaction level as much as 78%, and the sigma level is the dimension of
Empathy dimension that is equal to 1.98 sigma with the value of DPMO equal to 316666.666 and level of
satisfaction equal to 68%. By designing a great company business process to provide an overview of the flow of
information from the service business processes observed to obtain recommendations for quality improvement
on assurance and empathy dimensions, namely; the warranty of the goods is given according to the procedure
and the willingness to call the user suddenly.
Customer Relationship Management and Banking Sector Market Share performanceinventionjournals
The influence of customer relationship management (CRM) on Nigeria banking sector market share performance is the focus of this study. It examined the influence of customer identification, customer retention and technology on customer relationship management and banks market share performance. The ever increasing competition and dynamics in the market place and the need for banks to survive, grow and meet the stakeholders objectives calls for a meaningful long lasting relationship between marketers and all other stakeholders in the organisation. The population of this study consists of all 617 headquarters employees of the 21 deposit money banks in Port Harcourt metropolis that is registered with Nigeria Deposit Insurance Corporation (NDIC); while the sample size of 243 determined through the Tara Yamani formula. Questionnaire was used as an instrument for primary data collection. The Spearman’s Rank Order Correlation was the statistical technique employed for hypothesis testing in the statistical package for social sciences (SPSS) version 17. The findings of this study revealed that there is significant relationship between customer identification, retention, and market share; while technology positively influence CRM and bank market share performance. Customer identification and retention are dimensions of CRM, while market share is the measure of performance, with technology as moderating variable influence between CRM as a measure of bank performance. It is therefore noted that banks will have better competitive advantage when all relevant stakeholders appreciate and demonstrate these customer relationship management strategies with a view of achieving the desired corporate objectives.
Analytical CRM - Ecommerce analysis of customer behavior to enhance sales Shrikant Samarth
Task: You are required to choose a dataset (or related datasets) in an area of interest suitable for analyzing customer relationships.
Approach: Topic is chosen – Customer behavior Analysis in Ecommerce Industry for Enhancing Sales. Brazilian E-commerce public dataset was downloaded, cleaned and performed multiple regression in SPSS to check the relationship between the dependent variable and multiple independent variables.
Findings: Customer can be retained if the product delivered in time and if there is a delay in the product delivery, it is a duty of a seller to inform the customer for the same. The payment method has proven to be an important parameter to enhance sales over a period of time. analysis suggests on-time delivery, flexibility in payment method and good customer service would help the seller to gain customer trust which would help them to convert more sales.
Tools: IBM SPSS , Excel (pivot tables and charts), Tableau
Impact of Service Quality on the Customer Satisfaction: Case study at Online ...AI Publications
As it’s known business rely on the customers it means the profitability of any company change depending on customer demand. Due to that, it’s necessary to treat customer as the king of the market. In another meaning, Customer satisfaction is very important issue to company’s product which it measures the level of probability between company’s product and customer belief in which the happier customer with quality and types of products more products and more profit will occur. The purpose of this project was to determine the Impact of technical and functional service quality on the customer satisfaction and loyalty. Though conducting a survey number of results was collected, and the results belong to their view about different types of platform which they used for online meeting and academic stuff. Different nationality participates in this project including (Kurdish, Turkish, Arabic, Turkmen, Indian, Pakistan, Uzbek, Nigerian and British) with having different position such as head of the faculty, instructor, academic staff, head of the department and etc. in number of universities in Kurdistan region of Iraq. As it’s shown in chapter three Excel software was used to calculate collected data through (co-variance, correlation and regression analysis) methods. And Based on the result fulfillment, privacy issues were affected the customer satisfaction and loyalty.
Build Customer Loyalty with CRM and Brand Image (Case Study on Giant Citra Raya)IOSRJBM
Giant Customer Citra Raya Tangerang over the last five years (2011-2015), had a significant decrease. The decrease is due to customers by many factors including the quality of kerelasian with customers (CRM) is not good and the products or services on offer does not corresponds to the expectations of customers, so the Brand Image decreased. The sampling method non-probability sampling (samples are not random). The sampling technique accidental sampling (how unintentional), where researchers have the freedom to choose who sampled according to the requirements of the existing population. The research method is a survey method. Customers population average of 2,070,823 / 12/30 = 5752 per day, with a sample of 152 respondents Slovin method. Method of quantitative analysis by means of multiple linear regression analysis followed by analysis test of determination (R Square), testing the hypothesis partially (t test) and simultaneous (test F) the error tolerance level of 5 percent. The results of the research that CRM and Brand Image positive and significant impact on the Customer Loyalty, either partially or simultaneously. Cusomer Loyalty can be built with CRM and brand image, the better CRM and Brand Image in perceived by customers the more loyal customers at Giant Citra Raya. CRM and Brand Image can explain Customer Loyalty at 71.8 percent was 28.1 percent in perngaruhi sebsar other variables.
To improve the quality of television service subscribed by XYZ Television Subscribe conducted
research using the Six Sigma application aimed at reducing the defect from 3.4 defective per million
opportunities and, prioritizing technical response actions and generating strategic recommendations that the
company should take to improve the quality of XYZ Television Subscribe services, to identify subscription
television dimensions valued by customers with the SERVQUAL approach and Six Sigma where customers are
asked to evaluate performance from 5-dimensional service properties like Tangible, Reliability, Responsive,
Assurance. The Alpha coefficient of reliability is 0.122 compared to Table r with N = 30 (r Table 0.367). So,
Alpha = 0.971> 0.367 which means the instrument has reliable research. Overall, it can be interpreted that the
prose capacity of service at XYZ Television Subscribe is average at 2.06 sigma, with the DPMO 291357.142
and service satisfaction level of 71%. The biggest sigma level is on the Responsiveness dimension of 2.30 sigma
with the DPMO value of 212500 and satisfaction level as much as 78%, and the sigma level is the dimension of
Empathy dimension that is equal to 1.98 sigma with the value of DPMO equal to 316666.666 and level of
satisfaction equal to 68%. By designing a great company business process to provide an overview of the flow of
information from the service business processes observed to obtain recommendations for quality improvement
on assurance and empathy dimensions, namely; the warranty of the goods is given according to the procedure
and the willingness to call the user suddenly.
Customer Relationship Management and Banking Sector Market Share performanceinventionjournals
The influence of customer relationship management (CRM) on Nigeria banking sector market share performance is the focus of this study. It examined the influence of customer identification, customer retention and technology on customer relationship management and banks market share performance. The ever increasing competition and dynamics in the market place and the need for banks to survive, grow and meet the stakeholders objectives calls for a meaningful long lasting relationship between marketers and all other stakeholders in the organisation. The population of this study consists of all 617 headquarters employees of the 21 deposit money banks in Port Harcourt metropolis that is registered with Nigeria Deposit Insurance Corporation (NDIC); while the sample size of 243 determined through the Tara Yamani formula. Questionnaire was used as an instrument for primary data collection. The Spearman’s Rank Order Correlation was the statistical technique employed for hypothesis testing in the statistical package for social sciences (SPSS) version 17. The findings of this study revealed that there is significant relationship between customer identification, retention, and market share; while technology positively influence CRM and bank market share performance. Customer identification and retention are dimensions of CRM, while market share is the measure of performance, with technology as moderating variable influence between CRM as a measure of bank performance. It is therefore noted that banks will have better competitive advantage when all relevant stakeholders appreciate and demonstrate these customer relationship management strategies with a view of achieving the desired corporate objectives.
Analytical CRM - Ecommerce analysis of customer behavior to enhance sales Shrikant Samarth
Task: You are required to choose a dataset (or related datasets) in an area of interest suitable for analyzing customer relationships.
Approach: Topic is chosen – Customer behavior Analysis in Ecommerce Industry for Enhancing Sales. Brazilian E-commerce public dataset was downloaded, cleaned and performed multiple regression in SPSS to check the relationship between the dependent variable and multiple independent variables.
Findings: Customer can be retained if the product delivered in time and if there is a delay in the product delivery, it is a duty of a seller to inform the customer for the same. The payment method has proven to be an important parameter to enhance sales over a period of time. analysis suggests on-time delivery, flexibility in payment method and good customer service would help the seller to gain customer trust which would help them to convert more sales.
Tools: IBM SPSS , Excel (pivot tables and charts), Tableau
Impact of Service Quality on the Customer Satisfaction: Case study at Online ...AI Publications
As it’s known business rely on the customers it means the profitability of any company change depending on customer demand. Due to that, it’s necessary to treat customer as the king of the market. In another meaning, Customer satisfaction is very important issue to company’s product which it measures the level of probability between company’s product and customer belief in which the happier customer with quality and types of products more products and more profit will occur. The purpose of this project was to determine the Impact of technical and functional service quality on the customer satisfaction and loyalty. Though conducting a survey number of results was collected, and the results belong to their view about different types of platform which they used for online meeting and academic stuff. Different nationality participates in this project including (Kurdish, Turkish, Arabic, Turkmen, Indian, Pakistan, Uzbek, Nigerian and British) with having different position such as head of the faculty, instructor, academic staff, head of the department and etc. in number of universities in Kurdistan region of Iraq. As it’s shown in chapter three Excel software was used to calculate collected data through (co-variance, correlation and regression analysis) methods. And Based on the result fulfillment, privacy issues were affected the customer satisfaction and loyalty.
Build Customer Loyalty with CRM and Brand Image (Case Study on Giant Citra Raya)IOSRJBM
Giant Customer Citra Raya Tangerang over the last five years (2011-2015), had a significant decrease. The decrease is due to customers by many factors including the quality of kerelasian with customers (CRM) is not good and the products or services on offer does not corresponds to the expectations of customers, so the Brand Image decreased. The sampling method non-probability sampling (samples are not random). The sampling technique accidental sampling (how unintentional), where researchers have the freedom to choose who sampled according to the requirements of the existing population. The research method is a survey method. Customers population average of 2,070,823 / 12/30 = 5752 per day, with a sample of 152 respondents Slovin method. Method of quantitative analysis by means of multiple linear regression analysis followed by analysis test of determination (R Square), testing the hypothesis partially (t test) and simultaneous (test F) the error tolerance level of 5 percent. The results of the research that CRM and Brand Image positive and significant impact on the Customer Loyalty, either partially or simultaneously. Cusomer Loyalty can be built with CRM and brand image, the better CRM and Brand Image in perceived by customers the more loyal customers at Giant Citra Raya. CRM and Brand Image can explain Customer Loyalty at 71.8 percent was 28.1 percent in perngaruhi sebsar other variables.
Customer Experience Management: The New Playbook for Indian Manufacturing Org...Cognizant
In an era of fraying customer loyalty and tightening competition in the Indian market, manufacturers need a well-defined customer experience management strategy to enhance customer satisfaction and consequently, revenues.
Marketing Mix and Service Quality Effect on Customer Satisfaction and Loyalty...QUESTJOURNAL
ABSTRACT: This study aims to test and empirical analysis the marketing mix and service quality effect on customer satisfaction and customer loyalty, research was conducted in 26 branches in Sulawesi a population of about 16 212 customers of PT. HadjiKalla in Sulawesi who purchase Toyota cars for 2015 with a sample of 390 customers. The results of the analysis of structural equation modelusing AMOS version 20 provide evidence that marketing mix has a positive and significant effect on customer satisfaction and customer loyalty. Service quality is positive and significant effect on customer satisfaction, but insignificant effect on customer loyalty. Customer satisfaction has a positive and significant effect on customer loyalty. Marketing mix and service quality has a significant on customer loyalty as a mediated customer satisfaction. The practical implication of this study provide increased knowledge and understanding of the customer and the company's management in Sulawesi in increasing customer loyalty through marketing mix, service quality and customer satisfaction. Limitations of this study on a sample size using only the customers car brands Toyota and just carried on Sulawesi area that may limit generalizability of the research findings. Originality of this study provide the basis for the development configuration modeling using structural equation model and conceptual models that prove marketing mix and service quality on customer loyalty as a mediated customer satisfaction in previous research done separately. The mediating role of customer satisfaction is proven to increase customer loyalty to the highway.
Effect of Quality of Service and Location on Satisfaction Customer at Pt. Per...YogeshIJTSRD
This study uses qualitative research methods that contain numbers. The population in this study is all customers who shop at PT. Pertamina Retail Bright Store HM. Yamin Medan. Sampling using a kusioner spread with a likert scale that has 5 alternative answers. And analyzed using multiple linear regressions and coefficients of R2 determination with SPSS software for windows version 16. The results showed the following 1 Service Quality has a positive and significant effect on Customer Satisfaction at PT. Pertamina Retail Bright Store HM. Yamin Medan, 2 Location has a positive effect, but not significant to Customer Satisfaction at PT. Pertamina Retail Bright Store HM. Yamin Medan, 3 There is a positive and significant influence between the quality of service and location on customer satisfaction at PT. Pertamina Retail Bright Store HM. Yamin Medan with coefficient of coefficient of collation R of 0.393 and coefficient of determination R2 of 0.155 this means that 15.5 of customer satisfaction is in PT. Pertamina Retail Bright Store HM. Yamin Medan, influenced by the quality of service and location, while the other 84.5 is determined by other variables not described in this study. Kepler Sianturi | Rezkiyana | Riomas Sinurat "Effect of Quality of Service and Location on Satisfaction Customer at Pt. Pertamina Retail Bright Store Hm. Yamin Medan" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-4 , June 2021, URL: https://www.ijtsrd.compapers/ijtsrd41240.pdf Paper URL: https://www.ijtsrd.comother-scientific-research-area/other/41240/effect-of-quality-of-service-and-location-on-satisfaction-customer-at-pt-pertamina-retail-bright-store-hm-yamin-medan/kepler-sianturi
7. hapzi ali, et al., 2016, mercu buana univversity,ijer scopusHapzi Ali
Prof. Dr. Hapzi Ali, CMA
Universitas Mercu Buana (Mercu Buana University), Jakarta Indonesia
Bidang Ilmu: Marketing & Business Management, Research Method, MIS, Good Corporate Governance
www.mercubuana.ac.id.
email: hapzi.ali@gmail.com, hapzi.ali@mercubuana.ac.id
APPLYING DATA MINING IN CUSTOMER RELATIONSHIP MANAGEMENTIJITCA Journal
In this article we are going to define the overall customer relationship management (CRM) and Data mining, Factors between the techniques and software to "data mining" in "CRM" and the interaction between two concepts. For this purpose and after that in past studies and reports on issues of "data mining" and "CRM" took place between them. The effect of "data mining" and extract latent information from large databases of valuable customer has made their determination, and maintenance in order to attract customers through its taken a step forward and ultimately achieve profitability and efficiency are
good
A Case Study on Status of Online Shopping in Trivandrum DistrictKumar Suresh Halake
A primary data is collected from online shoppers from different wards of Trivandrum corporation (Kerala) and applied some Statistical tests.
Some predictive tools like Logistic regression, Linear discriminant analysis, Multinomial regression are also used to predict customer type..
MBA Projects, synopsis, and synopsis of various regular as well as distance learning undergraduate and postgraduate courses for various institutions like SMU – Sikkim Manipal University, SMUDE, AIMA, AMITY, IGNOU, SCDL, JAMIA, AMU, JHU etc.
Customer Experience Management: The New Playbook for Indian Manufacturing Org...Cognizant
In an era of fraying customer loyalty and tightening competition in the Indian market, manufacturers need a well-defined customer experience management strategy to enhance customer satisfaction and consequently, revenues.
Marketing Mix and Service Quality Effect on Customer Satisfaction and Loyalty...QUESTJOURNAL
ABSTRACT: This study aims to test and empirical analysis the marketing mix and service quality effect on customer satisfaction and customer loyalty, research was conducted in 26 branches in Sulawesi a population of about 16 212 customers of PT. HadjiKalla in Sulawesi who purchase Toyota cars for 2015 with a sample of 390 customers. The results of the analysis of structural equation modelusing AMOS version 20 provide evidence that marketing mix has a positive and significant effect on customer satisfaction and customer loyalty. Service quality is positive and significant effect on customer satisfaction, but insignificant effect on customer loyalty. Customer satisfaction has a positive and significant effect on customer loyalty. Marketing mix and service quality has a significant on customer loyalty as a mediated customer satisfaction. The practical implication of this study provide increased knowledge and understanding of the customer and the company's management in Sulawesi in increasing customer loyalty through marketing mix, service quality and customer satisfaction. Limitations of this study on a sample size using only the customers car brands Toyota and just carried on Sulawesi area that may limit generalizability of the research findings. Originality of this study provide the basis for the development configuration modeling using structural equation model and conceptual models that prove marketing mix and service quality on customer loyalty as a mediated customer satisfaction in previous research done separately. The mediating role of customer satisfaction is proven to increase customer loyalty to the highway.
Effect of Quality of Service and Location on Satisfaction Customer at Pt. Per...YogeshIJTSRD
This study uses qualitative research methods that contain numbers. The population in this study is all customers who shop at PT. Pertamina Retail Bright Store HM. Yamin Medan. Sampling using a kusioner spread with a likert scale that has 5 alternative answers. And analyzed using multiple linear regressions and coefficients of R2 determination with SPSS software for windows version 16. The results showed the following 1 Service Quality has a positive and significant effect on Customer Satisfaction at PT. Pertamina Retail Bright Store HM. Yamin Medan, 2 Location has a positive effect, but not significant to Customer Satisfaction at PT. Pertamina Retail Bright Store HM. Yamin Medan, 3 There is a positive and significant influence between the quality of service and location on customer satisfaction at PT. Pertamina Retail Bright Store HM. Yamin Medan with coefficient of coefficient of collation R of 0.393 and coefficient of determination R2 of 0.155 this means that 15.5 of customer satisfaction is in PT. Pertamina Retail Bright Store HM. Yamin Medan, influenced by the quality of service and location, while the other 84.5 is determined by other variables not described in this study. Kepler Sianturi | Rezkiyana | Riomas Sinurat "Effect of Quality of Service and Location on Satisfaction Customer at Pt. Pertamina Retail Bright Store Hm. Yamin Medan" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-4 , June 2021, URL: https://www.ijtsrd.compapers/ijtsrd41240.pdf Paper URL: https://www.ijtsrd.comother-scientific-research-area/other/41240/effect-of-quality-of-service-and-location-on-satisfaction-customer-at-pt-pertamina-retail-bright-store-hm-yamin-medan/kepler-sianturi
7. hapzi ali, et al., 2016, mercu buana univversity,ijer scopusHapzi Ali
Prof. Dr. Hapzi Ali, CMA
Universitas Mercu Buana (Mercu Buana University), Jakarta Indonesia
Bidang Ilmu: Marketing & Business Management, Research Method, MIS, Good Corporate Governance
www.mercubuana.ac.id.
email: hapzi.ali@gmail.com, hapzi.ali@mercubuana.ac.id
APPLYING DATA MINING IN CUSTOMER RELATIONSHIP MANAGEMENTIJITCA Journal
In this article we are going to define the overall customer relationship management (CRM) and Data mining, Factors between the techniques and software to "data mining" in "CRM" and the interaction between two concepts. For this purpose and after that in past studies and reports on issues of "data mining" and "CRM" took place between them. The effect of "data mining" and extract latent information from large databases of valuable customer has made their determination, and maintenance in order to attract customers through its taken a step forward and ultimately achieve profitability and efficiency are
good
A Case Study on Status of Online Shopping in Trivandrum DistrictKumar Suresh Halake
A primary data is collected from online shoppers from different wards of Trivandrum corporation (Kerala) and applied some Statistical tests.
Some predictive tools like Logistic regression, Linear discriminant analysis, Multinomial regression are also used to predict customer type..
MBA Projects, synopsis, and synopsis of various regular as well as distance learning undergraduate and postgraduate courses for various institutions like SMU – Sikkim Manipal University, SMUDE, AIMA, AMITY, IGNOU, SCDL, JAMIA, AMU, JHU etc.
Buy Verified PayPal Account | Buy Google 5 Star Reviewsusawebmarket
Buy Verified PayPal Account
Looking to buy verified PayPal accounts? Discover 7 expert tips for safely purchasing a verified PayPal account in 2024. Ensure security and reliability for your transactions.
PayPal Services Features-
🟢 Email Access
🟢 Bank Added
🟢 Card Verified
🟢 Full SSN Provided
🟢 Phone Number Access
🟢 Driving License Copy
🟢 Fasted Delivery
Client Satisfaction is Our First priority. Our services is very appropriate to buy. We assume that the first-rate way to purchase our offerings is to order on the website. If you have any worry in our cooperation usually You can order us on Skype or Telegram.
24/7 Hours Reply/Please Contact
usawebmarketEmail: support@usawebmarket.com
Skype: usawebmarket
Telegram: @usawebmarket
WhatsApp: +1(218) 203-5951
USA WEB MARKET is the Best Verified PayPal, Payoneer, Cash App, Skrill, Neteller, Stripe Account and SEO, SMM Service provider.100%Satisfection granted.100% replacement Granted.
The world of search engine optimization (SEO) is buzzing with discussions after Google confirmed that around 2,500 leaked internal documents related to its Search feature are indeed authentic. The revelation has sparked significant concerns within the SEO community. The leaked documents were initially reported by SEO experts Rand Fishkin and Mike King, igniting widespread analysis and discourse. For More Info:- https://news.arihantwebtech.com/search-disrupted-googles-leaked-documents-rock-the-seo-world/
Falcon stands out as a top-tier P2P Invoice Discounting platform in India, bridging esteemed blue-chip companies and eager investors. Our goal is to transform the investment landscape in India by establishing a comprehensive destination for borrowers and investors with diverse profiles and needs, all while minimizing risk. What sets Falcon apart is the elimination of intermediaries such as commercial banks and depository institutions, allowing investors to enjoy higher yields.
RMD24 | Retail media: hoe zet je dit in als je geen AH of Unilever bent? Heid...BBPMedia1
Grote partijen zijn al een tijdje onderweg met retail media. Ondertussen worden in dit domein ook de kansen zichtbaar voor andere spelers in de markt. Maar met die kansen ontstaan ook vragen: Zelf retail media worden of erop adverteren? In welke fase van de funnel past het en hoe integreer je het in een mediaplan? Wat is nu precies het verschil met marketplaces en Programmatic ads? In dit half uur beslechten we de dilemma's en krijg je antwoorden op wanneer het voor jou tijd is om de volgende stap te zetten.
What is the TDS Return Filing Due Date for FY 2024-25.pdfseoforlegalpillers
It is crucial for the taxpayers to understand about the TDS Return Filing Due Date, so that they can fulfill your TDS obligations efficiently. Taxpayers can avoid penalties by sticking to the deadlines and by accurate filing of TDS. Timely filing of TDS will make sure about the availability of tax credits. You can also seek the professional guidance of experts like Legal Pillers for timely filing of the TDS Return.
Tata Group Dials Taiwan for Its Chipmaking Ambition in Gujarat’s DholeraAvirahi City Dholera
The Tata Group, a titan of Indian industry, is making waves with its advanced talks with Taiwanese chipmakers Powerchip Semiconductor Manufacturing Corporation (PSMC) and UMC Group. The goal? Establishing a cutting-edge semiconductor fabrication unit (fab) in Dholera, Gujarat. This isn’t just any project; it’s a potential game changer for India’s chipmaking aspirations and a boon for investors seeking promising residential projects in dholera sir.
Visit : https://www.avirahi.com/blog/tata-group-dials-taiwan-for-its-chipmaking-ambition-in-gujarats-dholera/
Discover the innovative and creative projects that highlight my journey throu...dylandmeas
Discover the innovative and creative projects that highlight my journey through Full Sail University. Below, you’ll find a collection of my work showcasing my skills and expertise in digital marketing, event planning, and media production.
Premium MEAN Stack Development Solutions for Modern BusinessesSynapseIndia
Stay ahead of the curve with our premium MEAN Stack Development Solutions. Our expert developers utilize MongoDB, Express.js, AngularJS, and Node.js to create modern and responsive web applications. Trust us for cutting-edge solutions that drive your business growth and success.
Know more: https://www.synapseindia.com/technology/mean-stack-development-company.html
Digital Transformation and IT Strategy Toolkit and TemplatesAurelien Domont, MBA
This Digital Transformation and IT Strategy Toolkit was created by ex-McKinsey, Deloitte and BCG Management Consultants, after more than 5,000 hours of work. It is considered the world's best & most comprehensive Digital Transformation and IT Strategy Toolkit. It includes all the Frameworks, Best Practices & Templates required to successfully undertake the Digital Transformation of your organization and define a robust IT Strategy.
Editable Toolkit to help you reuse our content: 700 Powerpoint slides | 35 Excel sheets | 84 minutes of Video training
This PowerPoint presentation is only a small preview of our Toolkits. For more details, visit www.domontconsulting.com
Digital Transformation and IT Strategy Toolkit and Templates
G584652.pdf
1. American International Journal of Business Management (AIJBM)
ISSN- 2379-106X, www.aijbm.com Volume 5, Issue 08 (August-2022), PP 46-52
*Corresponding Author: Kiki Amallia1
www.aijbm.com 46 | Page
Proposed Marketing Strategy for RAM Water to Enhance
Customer Loyalty
Kiki Amallia1
, Prawira Fajarindra Belgiawan2
1
School of Business and Management / Bandung Institute of Technology, Indonesia
2
School of Business and Management / Bandung Institute of Technology, Indonesia
*Corresponding Author: Kiki Amallia1
ABSTRACT : Home appliances industry has a good opportunity to continue to grow. Compound Annual
Growth (CAGR) in worldwide is projected to increase in the period 2022-207 to reach 5.77%. Indonesia is a
country that has the opportunity to sell these home appliances. Gross Domestic Product (GDP) in the household
housing equipment category increased in the first to fourth quarters in 2021. In addition, online shopping trends
are also increasing, especially among generation Z and millennials. This is also experienced by several E-
commerce in Indonesia which experienced an increase in sales in the home and living category which doubled
in sales in 2020. By looking at this situation, RAM Armalia as a company engaged in the home appliances
industry must take the opportunity to continue to survive by making improvements to the products and services
offered, in order to retain and maintain customers in a long-term relationship and achieve competitive
advantage. Moreover, in 2021, RAM Armalia, especially in sales of water processors (RAM Water) will
experience a decline in sales due to several factors. In order to retain and maintain customer in long-term
relationship, the company can conduct a marketing strategy for RAM Water to Enhance customer Loyalty.
KEYWORDS – Customer loyalty, marketing strategy, SEM-PLS, water processor
I. INTRODUCTION
Home appliances industry shows growth every year. This is an opportunity for business players
engaged in this industry. The Compound Annual Growth Rate is projected in the period 2022-2027 to reach
5.77% [1]. In addition, the total revenue from these home appliances is projected to increase in 2025 by USD
332, 585 million from USD 232, 839 million in 2021 [1]. Indonesia is one of the countries that has the
opportunity to sell home appliances. Based on Gross Domestic Product (GDP) especially in the household
housing equipment will increase in 2021 in the first quarter to fourth quarter. The first quarter is IDR 205,
300.62 billion and the fourth quarter is IDR 211, 731.94 billion [2].
In addition, online sales channels on home appliances products are predicted to increase in 2025 by
43.7% from 36% in 2022 [1]. In addition, the large population in Indonesia becomes an opportunity in selling
home appliances. According to the 2020 population census that generation Z as much as 35% and millennials as
much as 33% dominate online shopping purchase activities [3]. Moreover, several E-commerce in Indonesia
experienced an increase in sales on home appliances in 2020 [4]. Looking at this situation, RAM Armalia as a
company engaged in the home appliances industry must take this opportunity to continue to survive in this
industry in order to add value to existing customers and potential customers and be able to compete with
competitors to achieve competitive advantage.
Moreover, In 2021 RAM Armalia experienced a decrease in sales of water processor products used to
purify water and convert water into alkaline water, namely RAM Water products. This decline in sales was
caused by several factors. When, the researcher conducting a preliminary survey of users of RAM Water
products, it was stated that there was a lack in services, product variants, product design, product durability,
promotion, and payment which received negative feedback. Because this issue, the company must carry out a
marketing strategy to survive in this industry and make improvements so that the company can maintain and
retain customers in long-term relationships. In order to retain existing customer and maintain log-term
relationship, the company must make a marketing strategy to enhance customer loyalty by measuring customer
loyalty to users from RAM Water.
II. LITERATURE REVIEW
Loyal customer is a crucial issue of customer relationship management in an enterprise approach.
Companies can pay attention to customer loyalty because it is related to profitability of business. Customer
loyalty foster purchase of product and repeatedly by customer [5]. Maintain the existing customers is a more
successful strategy compared to acquiring the new customer [6]. In addition, customer loyalty is very important
2. Proposed Marketing Strategy for RAM Water to Enhance Customer Loyalty
*Corresponding Author: Kiki Amallia1
www.aijbm.com 47 | Page
because companies can build commitment with customers to build long-term relationships as well as to re-
purchase the product or services offered [7].
In many studies customer satisfaction has a relationship with customer loyalty as mediates variable to
determine whether the customer will be loyal or not [8]. Customer satisfaction as mediating function between
factors of satisfaction and customer loyalty [5]. Element of marketing mix consist of 4P's which can be
controlled and reflect customer satisfaction [9]. The 4P's marketing consists of product, price, promotion, and
place. Products are good or services offered to the target market to meet their needs and desires. Increasing the
marketing mix in products or service will increase customer satisfaction [10]. Then, the price is the nominal
issued by the customer to buy products or services offered by the company. Price is a crucial factor because
customers will feel satisfied if the product quality exceeds the cost incurred [11]. Likewise with promotion
which is an activity in communicating the products to be sold. The elements of promotion are advertising,
personal selling, sales promotion, and public relations. To increase customer satisfaction, promotion activities
must be based on information that is truthfulness, transparency, and full sincerity [12]. In addition, there is place
element which is a location where the company markets the products or services offered. Inconvenience place
will cause customer dissatisfaction which will cause negative things for the company in the future [12].
The marketing mix not only focuses on the 4P's, but can focus on the 7P's which adds elements of
people, process, and physical evidence. This is due to the re-evaluation of traditional marketing management by
blurring the boundary between goods and services, forcing the realization that many products consist of both
tangible goods and intangible services [13]. People are all actors who have a role in carrying out processes in the
company. People can define the representative from the company. Representatives of companies that have direct
contact with customers need to give a positive impression because it will affect customer satisfaction [14]. Then,
there is an element process which is a flow, a procedure owned by the company to provide product and service
to customers. This element will provide a factor in determining customer satisfaction because such as waiting
times, the information given, and helpfulness staff are crucial to customer satisfaction [14]. In addition, in
element physical evidence which is related to the visual of the design or interior of the business place.
According to Duncan (1996), by designing a service environment such as physical layout will increase customer
satisfaction [15].
III. RESEARCH METHOD
This research use mix methods approach with qualitative and quantitative data. The qualitative is in the
form descriptive or describing the phenomenon. Meanwhile, quantitative data is in the form of numeric,
statistical data, such as data that has been grouped and provides information about the problem [16]. The
qualitative data in this research conducted by in depth interview. Meanwhile, the quantitative data is carried out
for the analysis of factors that affect customer loyalty through customer satisfaction as mediating variable. The
quantitative data was carried out using the Structural Equation Model (SEM) and using Partial Least Square
(PLS) as a tool. The results of the analysis of both can be used in proposed marketing strategy to enhance
customer loyalty.
IV. RESULT AND DISCUSSION
The questionnaire is distributed online using a Google Form. In this research the population is
unknown. According to Amalia (2015), in determining the minimum sample in the population unknown, can use
the formulation from Lemeshow (1997) [17]. The minimum number of samples is 151.
The scope and limitation in this research are RAM Water user, aged 25-55 years, and domiciled in
Bandung, Indonesia. The researcher distributed the questionnaire to 153 users of RAM Water. There is the scale
is use namely Likert scale with interval of 1 to 5 (strongly disagree-strongly agree). In this research, there are
several steps carried out, namely the evaluation of the reflective measurement model (outer model) and the
evaluation of the formative measurement model (inner model). Figure 1 is the structural model that use in this
research. The results of the reliability and validity analysis using Smart PLS show that are some indicators must
be eliminated consist of PRC 3, PROM 1, PROM 6, PLC 2 and PEP 2.
3. Proposed Marketing Strategy for RAM Water to Enhance Customer Loyalty
*Corresponding Author: Kiki Amallia1
www.aijbm.com 48 | Page
Figure 1 The Structural Model
Notes : (CL: Customer Loyalty, CST: Customer Satisfaction, PRD: Product, PRC: Price, PROM: Promotion,
PLC: Place, PEP: People, PROC: Process, PHY: Physical Evidence).
A. Evaluation of Reflective Measurement Model (Outer)
Evaluation of the measurement model is carried out to measure the relationship between the indicators and the
constructs. Evaluation of measurement models can be evaluated based on construct reliability by using
composite reliability and Cronbach's alpha. Then, convergent validity using average variance extracted (AVE),
and discriminant validity using Fornell Larcker Criterion.
Construct Reliability
Constructed reliability consists of composite reliability and Cronbach’s alpha. In composite reliability, higher
values indicate higher levels of reliability. Then, the model can be said to be reliable if the value of composite
reliability & Cronbach's Alpha are above 0.7 [18].
Table 1. Composite Reliability and Cronbach’s Alpha
Cronbach’s Alpha Rho A Composite Reliability
Customer Loyalty 0,919 0,927 0,943
Customer Satisfaction 0,952 0,953 0,960
Product 0,933 0,934 0,944
Price 0,832 0,853 0,899
4. Proposed Marketing Strategy for RAM Water to Enhance Customer Loyalty
*Corresponding Author: Kiki Amallia1
www.aijbm.com 49 | Page
Based on Table 1, it can be seen that composite reliability and Cronbach's alpha in this research model are >
0.70 which indicates that the internal consistency value of reliability is reliable.
Convergent Validity
Convergent validity can be seen from the average variance extracted (AVE). The value of the outer loading
should be > 0.708 or number square equal to 0.5. The minimum acceptable AVE is 0.50 – an AVE of 0.50 or
higher indicates that the concept accounts for more than half of the variance in the indicator on average.
Meanwhile, if the AVE score below 0.50 indicates that there are more errors in the item than the variation
explained by the concept [18].
Table 2. Average Variance Extracted (AVE)
Based on Table 2, it can be seen that all constructs have an AVE above 0.50 which means that the model used in
this study is a good model.
Discriminant Validity
Discriminant validity is carried out for measures the extent to which a construct is empirically distinct from
other constructs in the structural model. There are validity measures that can be used, Fornell Larcker [18]
Table 3. Fornell Larcker Criterion
CL CST PEP PHY PLC PRC PROC PRD PROM
CL 0,897
CST 0,795 0,865
Promotion 0,916 0,917 0,937
Place 1,000 1,000 1,000
People 0,966 0,967 0,970
Process 0,897 0,903 0,936
Physical Evidence 0,870 0,879 0,912
Average Variance Extracted (AVE)
Customer Loyalty 0,805
Customer Satisfaction 0,749
Product 0,651
Price 0,748
Promotion 0,748
Place 1,000
People 0,747
Process 0,831
Physical Evidence 0,722
5. Proposed Marketing Strategy for RAM Water to Enhance Customer Loyalty
*Corresponding Author: Kiki Amallia1
www.aijbm.com 50 | Page
PEP 0,628 0,844 0,864
PHY 0,662 0,847 0,785 0,850
PLC 0,546 0,612 0,557 0,648 1,000
PRC 0,445 0,650 0,671 0,565 0,389 0,865
PROC 0,706 0,853 0,824 0,797 0,581 0,591 0,912
PRD 0,706 0,848 0,767 0,769 0,632 0,663 0,813 0,807
PROM 0,659 0,707 0,584 0,727 0,795 0,359 0,607 0,683 0,865
Based on Table 3 the Fornell Larcker Criterion the square root of each construct’s AVE is higher than its
correlation with another construct. So there is no discriminant validity problem in the model of this study.
B. Evaluation of Formative Measurement Model (Inner Model)
Formative measurement model is used to analyze the inner model which knows the relationship between the
construct or latent variable. The evaluation of Formative measurement consists of assessing the structural
model for collinearity issues (Value of Inflation Factor), assessing the significance and relevance, assessing the
level of (R2) [18].
Value of Variance Inflation Factors (VIF)
The tolerance level considered is below 0.20, namely VIF above 5.00. If there is a predictor construct that has a
value above 5.00, it indicates that the predictor has collinearity. If there is collinearity, the predictor construct
must be removed, combined into a single construct or create a new higher construct [18].
Table 4. Value of Variance Inflation Factors (VIF)
Based on Table 4, it can be seen that the variance inflation factor (VIF) in the measurement inner model is
below 0.5 which indicates the structural model has no collinearity and does not need to eliminate the construct.
CL CST PEP PHY PLC PRC PROC PRD PROM
Customer
Loyalty
Customer
Satisfaction
1,000
People 4,195
Physical
Evidence
4,216
Place 2,867
Price 2,154
Process 4,541
Product 4,387
Promotion 3,773
6. Proposed Marketing Strategy for RAM Water to Enhance Customer Loyalty
*Corresponding Author: Kiki Amallia1
www.aijbm.com 51 | Page
Significance and Relevance of Structural Model
The significance and relevance is the level of confidence in a hypothesis that will determine whether the
hypothesis will be accepted or not. In this study, the researcher uses a significance level of 5% and use one-
tailed that allows for the possibility of an effect in one direction. P value in this study should be < 0.05 [18].
Table 5. Significance and Relevance of Structural Model
Original
Sample (O)
Sample
Mean (M)
Standard Deviation
(STDEV)
T Statistics
(|O/STDEV|)
P
Values
Customer Satisfaction ->
Customer Loyalty
0,795 0,796 0,031 25,825 0,000 Accepted
People -> Customer
Satisfaction
0,220 0,215 0,076 2,898 0,002 Accepted
Physical Evidence ->
Customer Satisfaction
0,208 0,208 0,067 3,087 0,001 Accepted
Place -> Customer
Satisfaction
-0,093 -0,101 0,052 1,789 0,037 Accepted
Price -> Customer
Satisfaction
0,079 0,083 0,046 1,706 0,044 Accepted
Process -> Customer
Satisfaction
0,224 0,233 0,081 2,770 0,003 Accepted
Product -> Customer
Satisfaction
0,214 0,206 0,077 2,788 0,003 Accepted
Promotion -> Customer
Satisfaction
0,190 0,198 0,067 2,846 0,002 Accepted
Based on Table 5, it can be seen the results of the analysis have a P value below 0.05 which means the
marketing mix of 7P’s have significant effects on customer satisfaction. Then, customer satisfaction has a
significant effect on customer loyalty as a mediating variable. In addition, the T value which has a significant
level of 5% or one tailed 1,645. Based on the table above the marketing mix of 7P’s are positively affecting the
customer satisfaction. Then, customer satisfaction affects customer loyalty positively.
R Square
R square measures the prediction accuracy of a model and is determined as the squared correlation between the
actual and predicted values of a specified construct.
Table 6. R-Square
R Square R Square Adjusted
Customer Loyalty 0,632 0,629
Customer Satisfaction 0,863 0,857
Based on Table 6, it can be seen that the R2 of customer loyalty is 0.629, which indicates moderate and R2 of
customer satisfaction is 0.857, which indicates that the questionnaire model used in this study is considerable.
V. CONCLUSION
Based on the analysis carried out, RAM Armalia especially on the sales of RAM Water products, it is
necessary to make improvements to the product, price, promotion, place, people, process, and physical evidence
in order to make customer loyalty through customer satisfactions as mediator that can retain and maintain
customers in long term relations and provide profitability for the company. There are three proposed strategies
that can be carried out by company. First provide live chat feature to improve product and services in order to
provide fast and responsive service. Second, create flatform connect on the website that have account, history,
7. Proposed Marketing Strategy for RAM Water to Enhance Customer Loyalty
*Corresponding Author: Kiki Amallia1
www.aijbm.com 52 | Page
points, testimonials, forum and tracking order. Third, create a webinar program that can add value to users who
are speakers by influencers.
ACKNOWLEDGEMENTS
This research is the core of the thesis entitled "Proposed Marketing for RAM Water to Enhance Customer
Loyalty", School of Business and Management, Bandung Institute of Technology, Indonesia.
REFERENCES
[1] Statista. (2022, June 2022). Household Appliances. Retrieved from Statista:
https://www.statista.com/outlook/cmo/household-appliances/worldwide#revenue
[2] Badan Pusat Statistik. (2022). [2010 Version] 2. GDP at Constant Market Prices by Expenditure
(Billion Rupiahs), 2021. Retrieved from Statistics Indonesia:
https://www.bps.go.id/indicator/169/1956/1/-seri-2010-2-pdb-triwulanan-atas-dasar-harga-konstan-
menurut-pengeluaran.html#
[3] Databoks. (2021, May 24). Proporsi Populasi Generasi Z dan Milenial Terbesar di Indonesia.
Retrieved from databoks: https://databoks.katadata.co.id/datapublish/2021/05/24/proporsi-populasi-
generasi-z-dan-milenial-terbesar-di-indonesia
[4] Burhan, F. A. (2021, May 31). Produk Rumah Tangga Paling Diburu Konsumen Tokopedia dan
Shopee Artikel ini telah tayang di Katadata.co.id dengan judul "Produk Rumah Tangga Paling Diburu
Konsumen Tokopedia dan Shopee ", https://katadata.co.id/yuliawati/digital/60b4bf8ea7f5d/produk-
ruma. Retrieved from Katadata.co.id: https://katadata.co.id/yuliawati/digital/60b4bf8ea7f5d/produk-
rumah-tangga-paling-diburu-konsumen-tokopedia-dan-shopee
[5] Uddin, M. B. (2019). Customer Loyalty in the Fast Food Restaurant of Bangladesh. British Food
Journal, 2791-2808.
[6] Gee, R., Coates, G., & Nicholson, M. G. (2008). Understanding and profitably managing customer
loyalty. Marketing Intelligence & Planning, 359-374.
[7] Oliver, R. L. (1999). Whence Consumer Loyalty? Journal of Marketing, 33-34.
[8] Patterson, P. G., & Johnson, L. W. (1997). Modeling the determinants of customer satisfaction for
business-to-business professional services. Journal of the Academy of Marketing Science, 4-17.
[9] Shankar, & Chin, K. K. (2011). A study of the relationship between marketing mix and customer
retention for herbal coffee in Malaysia. International Conference on Business and Economic Research ,
279.
[10] Sukamto, R., & Lumintan, D. B. (2015). The Impact of Marketing Mix towards Customer Loyalty
Mediated by Customer Satisfaction of Blackberry Indonesia . iBuss Management, 316-324.
[11] Kadhim, D. F., Abdullah, T. F., & Abdullah, M. F. (2016). Effects of marketing mix on customer
satisfaction: empirical study on tourism industry in Malaysia . International Journal of Applied
Research, 357-360.
[12] Niharika. (2015). Effect of marketing mix on customer satisfaction. International Journal of Science,
Technology & Management, 73-81.
[13] Goldsmith, R. E. (1999). The personalised marketplace: Beyond the 4Ps. Journal in Marketing
Intelligence & Planning, 178-185.
[14] The chartered Institute of Marketing . (2009). Marketing and the 7Ps. Marketing and the 7Ps.
[15] Mohammad, H. I. (2015 ). 7Ps Marketing Mix and Retail Bank Customer Satisfaction in Northeast
Nigeria. Bristish Journal of Marketing Studies .
[16] Dawaty, S. (2020, October 30). Perbedaan Penelitian Kuantitaif dan Kualitatif. Retrieved from
Universitas Raharja: https://raharja.ac.id/2020/10/30/perbedaan-penelitian-kualitatif-dan-penelitian-
kuantitatif/
[17] Amalia, H. (2015). Sistem Rekomendasi Varian Rasa Berdasarkan Klasifikasi Pelanggan Pada
Perusahaan Brownies Amanda. Universitas Pendidikan Indonesia.
[18] Hair, J., Hult, G. T., Ringle , C., Sarstedt, M., Danks, N., & Ray, S. (2021). Partial Least Squares
Structural Equation Modeling (PLS-SEM) Using R. Gewerbestrasse: Springer