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The premium healthcare industry in urban areas is experiencing increasing competition along with the increase in healthcare facilities and the increasing public demand for fast, comfortable, and quality medical services. In this context, Columbia Asia Pulomas Hospital is implementing an expansion strategy by increasing facility capacity, modernizing services, and adding a Center of Excellence (COE) as a service differentiation. This study aims to analyze customer retention strategies within the Balanced Scorecard (BSC) framework, focusing on the relationship between customer perspectives, internal processes, learning and growth, and their application to the financial perspective. The research method uses a document-based policy and strategy analysis approach, field findings, and a synthesis of Balanced Scorecard theory and patient experience.The analysis shows that customer retention during the expansion phase is influenced not only by clinical quality, but also by the assurance of doctor time in practice, speed of service, physical comfort, and digitization of queues and administration. The addition of a COE has been shown to increase the perception of service value and expand market share through service specialist differentiation. Within the BSC framework, the customer perspective serves as a leading indicator for achieving the financial perspective, where increased patient retention contributes to increased revenue, ROI growth, and long-term financial expectations. The research implications emphasize that strategies for strengthening human resources, modernizing internal processes, and service innovation are important foundations in ensuring successful hospital expansion and enhancing competitive advantage.

This study examines customer churn prediction in subscription-based telecommunications from a digital marketing perspective using machine learning. The analysis utilizes a secondary dataset of 7,043 customer records that simulate behavioral, contractual, and financial attributes commonly found in telecom services. Three classification algorithms Logistic Regression, Random Forest, and Gradient Boosting are applied to model churn behavior. Data preprocessing includes handling missing values, encoding categorical variables, and splitting data into training and testing sets. Model performance is evaluated using accuracy, recall, and ROC-AUC, with emphasis on recall due to its importance in identifying at-risk customers. The results show that Gradient Boosting achieves the highest overall performance with an ROC-AUC of 0.84, while Logistic Regression provides relatively higher recall. Key drivers of churn include short-term contracts, higher monthly charges, and lower service engagement. However, recall remains moderate, indicating limitations in capturing complex behavioral factors. These findings suggest the need to combine predictive models with behavioral insights and highlight the importance of early customer engagement and long-term retention strategies.

This study aims to analyze and design a marketing strategy training program to improve the performance of marketing personnel at Titan (Home) WiFi as an internet service provider. In the increasingly competitive digital era, effective marketing strategies are essential to enhance customer acquisition, retention, and overall business performance. This training focuses on strengthening marketing competencies, including market analysis, digital marketing utilization, customer relationship management, and communication skills.The method used in this study is a descriptive qualitative approach involving 21 marketing personnel as participants. Data were collected through observation, semi-structured interviews, questionnaires, and documentation. The evaluation of the training program was conducted by comparing participants’ understanding before and after the training, supported by questionnaire scores and interview results.The results indicate that 83% of participants showed improved understanding of target market analysis and digital marketing strategies, while 78% demonstrated better communication and customer relationship management skills. In addition, there was a 20% increase in promotional effectiveness and a 15% improvement in customer satisfaction based on internal performance data. These findings suggest that the implementation of structured marketing strategy training can significantly enhance marketers’ competencies, optimize promotional activities, and improve service quality. Therefore, continuous and adaptive training programs are recommended to ensure sustainable marketing performance improvement in the dynamic telecommunications industry

This study aims to examine the responses of Gen Z regarding the influence of Emotional Branding and BrandImage on Customer Loyalty of Teh Gelas products among Gen Z in Bandung, both partially and simultaneously. The intense competition in the packaged tea drink market, along with the consistent decline in Teh Gelas brand index, the changing lifestyle, and consumption patterns of Gen Z, highlight significant challenges for Teh Gelas in maintaining customer loyalty. Additionally, negative consumer reviews on social media further weaken the BrandImage of Teh Gelas. The research method used is quantitative with a descriptive and verificative approach, and data collection was carried out through the distribution of questionnaires to 100 respondents. The analytical instruments include validity testing, reliability testing, classical assumption testing, normality testing, multicollinearity testing, heteroscedasticity testing, multiple linear regression analysis, t-test (partial), f-test (simultaneous), correlation coefficient testing, and coefficient of determination analysis, with the help of SPSS Version 30 software. The research results show that the significance level of f is 0.01, which is smaller than 0.05. Therefore, H_03 is rejected, which means that Emotional Branding and BrandImage have a simultaneous effect on Customer Loyalty of Teh Gelas products among Gen Z in Bandung.

Customer loyalty is a crucial pillar in the banking industry, especially amidst increasingly fierce competition and rapid digital transformation. Loyalty not only reflects brand attachment but also reflects the level of customer trust and satisfaction with the services provided. This study aims to analyze the role of customer value and service quality in building customer loyalty, with customer satisfaction as an intervening variable. The study was conducted at the BRI Tabanan Branch using a quantitative approach. The research sample consisted of 383 respondents selected using the Krejcie and Morgan formula. Data were collected through questionnaires, interviews, and documentation, then analyzed using path analysis to examine the direct and indirect relationships between variables. The results show that customer value and service quality significantly influence customer satisfaction. Both variables also have a direct effect on customer loyalty, while also exerting an indirect effect through customer satisfaction as a mediating variable. In other words, increasing perceived value and service quality not only drives satisfaction but also strengthens loyalty, both directly and through the effects of satisfaction. These findings emphasize the importance of strategies to increase value and service quality as an effort to maintain loyalty amid changing customer preferences and digital disruption. For banking practitioners, the implications of this research can serve as a reference in designing more personalized, value-oriented, and technology-based service programs to increase long-term customer retention and strengthen competitiveness in an increasingly competitive market.

The study aims to examine the influence of word of mouth (WOM) and customer relationship management (CRM) on customer loyalty at PT Garuda Sertifikasi Indonesia, with customer delight serving as a mediating variable. This research is motivated by the increasing competition among certification service providers, which requires companies to implement effective strategies to retain and satisfy their customers. The target population in this study encompasses the entire client base of PT Garuda Sertifikasi Indonesia, totaling 429 individuals. The sampling technique used was Hair’s formula, resulting in 70 respondents. Data were collected through questionnaires, interviews, and documentation. A path analysis technique was used to analyze the data to determine direct and indirect effects between variables. The findings indicate that both WOM and CRM positively influence customer loyalty. Effective word-of-mouth strategies help build the company’s reputation and trust, while CRM ensures consistent communication, better service, and long-term customer engagement. The research also found that WOM and CRM positively affect customer delight. Customers who experience exceptional service and personalized attention tend to be more satisfied and emotionally connected to the brand. Furthermore, customer delight was proven to have a significant positive impact on customer loyalty. It also acts as a mediating variable, strengthening the effect of WOM and CRM on loyalty. This means that delighted customers are more likely to remain loyal and advocate for the company. The results of this study emphasize the importance of maintaining strong relationships and exceeding customer expectations in order to build sustainable loyalty. This research contributes valuable insights for service-based companies in enhancing marketing and customer retention strategies.

Employee engagement and talent management methods' impact on Perumda Tirta Kahuripan Bogor Regency's retention rates is the primary research objective of this study.  The high turnover rate is the company's biggest issue since it threatens the long-term viability of the business.  The study team at Perumda Tirta Kahuripan used a quantitative approach by surveying 70 workers to gather data.  Both basic and multivariate linear regression were used to evaluate the data.  The findings demonstrated that talent management and employee engagement both contribute to a more loyal workforce and boost retention rates.  According to the modified R-squared value of 58.7%, the effect on employee retention can be explained by 58.7% by combining the factors of talent management and employee engagement. The remaining portion is impacted by variables that were not included in this research.  In order to keep a competent staff and loyal customers, these results show that talent management and enhanced employee engagement are crucial.

The skin and hair care industry has experienced rapid growth in recent years. As the digital ecosystem becomes more established, various local products have the opportunity to emerge and exist in the market. Among the local products that have just emerged and found a place in the hearts of consumers is Lavojoy. Research on digital marketing strategies for imported products has been carried out very often, while for local products, especially skin and hair care products, has not been done much. This study aims to analyze Lavojoy's digital marketing strategy in increasing consumer loyalty. The research was conducted using a descriptive qualitative approach. Research data were obtained from the results of digital observations and data searches in various popular site databases related to the research problem. The results of the study show that the digital utilization strategy allows Lavojoy to build a loyal customer community through interactive content, collaboration with influencers, and active engagement through live and polling features. Two-way interactions carried out on Instagram, TikTok, and YouTube have a significant impact on brand awareness and customer emotional attachment to the brand. In addition, e-commerce optimization carried out through exclusive promo strategies, cashback, loyalty programs, and live shopping features has succeeded in increasing customer retention and encouraging repeat purchases. To increase the effectiveness of digital marketing strategies in the future, Lavojoy is advised to increase personalization in digital marketing by utilizing artificial intelligence (AI) and customer data analysis to offer a more personalized shopping experience, as well as developing content and product recommendations tailored to each customer's preferences, both through social media and e-commerce.

This study aims to measure the business performance of CV XYZ through the perspectives of finance, customers, internal business processes, growth and learning of the balanced scorecard method at CV XYZ in 2023. The data used is primary data, in the form of data from interviews with CV XYZ managers or those who have authority over CV XYZ business performance data. The results of the study can be concluded that based on research on the financial perspective, the results of the calculation of current ratio, revenue growth, debt to total assets, debt to equity, return on equity, return on assets and net profit margin get “good” criteria. In the customer perspective, the results of the calculation of customer retention get “sufficient” criteria, while the results of the calculation of customer acquisition and customer complaints get “good” criteria. In the internal business process perspective, the results of the calculation of minimize error rate and rework, and agreements with third parties get the “good” criteria. In the growth and learning perspective, the results of the calculation of employee retention get the criteria “sufficient”, employee training gets the criteria “good” and absenteeism gets the criteria “not good”.

This literature study examines the influence of trust on Tokopedia customer loyalty. Tokopedia is one of the market places that is widely used by customers in Indonesia. The factor that Tokopedia uses is the level of consumer trust in Tokopedia. This study applies a qualitative research method with a literature study approach from various relevant scientific sources. The results of the study revealed that trust has a significant effect on customer loyalty. This confirms that trust has a very significant effect on Tokopedia customer loyalty, which means the importance of building customer trust to increase loyalty, which in turn can increase customer retention and sales. This finding provides implications for Tokopedia's marketing strategy to build stronger relationships with customers and improve their shopping experience.

This study aims to determine the performance of KCU Pintu Air by using the balanced scorecard method. This research method is a quantitative descriptive method. The data in this study were obtained from documentation in the form of financial reports and distributing questionnaires. The population in this study was KCU Pintu Air with a sample of a financial perspective in the form of financial reports, a customer perspective with a sample of 44 members, an internal business process perspective and a growth and learning perspective with a sample of 27 employees. The findings of this study show that the performance of KCU Pintu Air when measured using the balanced scorecard method results in a rating scale of 0.2 which lies between 0-0.6 which indicates that the cooperative's performance is quite good. The results of perspective calculations in the balanced scorecard are financial perspective calculations with unfavorable results, this is because most of the PEARLS ratio calculation results are in the bad category. The customer perspective shows good results, which are obtained from indicators of member retention and member acquisition which experience fluctuations and indicators of member satisfaction as much as 79% of members are satisfied with cooperative services. The internal business process perspective shows very good results, which are obtained from the results of the questionnaire with an operational efficiency indicator of 80% and an indicator of competitive position of 83%, which means that the respondents stated that they were very satisfied. The growth and learning perspective shows good results obtained from the results of employee satisfaction indicators as much as 91% of employees who express attitudes towards very high satisfaction, employee retention indicators that show good results and employee productivity indicators that experience fluctuations during the study period.

This study aims to optimize marketing strategies through RFM (Recency, Frequency, Monetary) analysis on a retail transaction dataset obtained from Kaggle. The dataset contains 64,682 transactions from 5,242 SKUs involving 22,625 customers over one year. Data cleaning and RFM analysis were conducted to segment customers based on recency, frequency, and monetary values. The findings reveal that customers were segmented into groups such as Champions, Loyal Customers, and At Risk. These segments provide valuable insights for developing targeted marketing strategies, such as loyalty programs for high-value customers and retention campaigns for at-risk customers. The study demonstrates that RFM analysis is effective in identifying valuable customer segments and optimizing marketing efforts based on customer behavior. This approach can increase customer retention and improve the return on investment (ROI) in marketing campaigns.

This study aims to analyze the effect of service quality, perceived value, and customer satisfaction on customer loyalty at Tanjung Decoration. Service quality, perceived value and customer satisfaction are key factors influencing purchase decisions and customer retention in the decoration service industry. However, there has not been much research specifically examining the relationship between these variables in the context of Tanjung Decoration. This research is worth conducting for several reasons. First, Tanjung Decoration is a major player in the fast-growing decoration industry, and an understanding of the factors that influence customer loyalty will help them improve their marketing and service strategies. Second, with a focus on service quality, perceived value, and customer satisfaction, this research will provide valuable insights for managers and practitioners in developing more effective programs to increase customer loyalty. Third, this research will complement the literature on marketing management and consumer behavior by providing a more in-depth understanding of the factors that influence purchasing behavior and customer loyalty in the context of the decoration services industry. By combining appropriate research methodology with a strong theoretical framework, this research is expected to make a significant contribution to the development of knowledge in the field of marketing management and consumer behavior. The results of this study are expected to be a valuable reference source for researchers, practitioners, and other stakeholders interested in understanding and improving customer loyalty in the decoration service industry.    

This study investigates the level of customer loyalty in e-commerce in the United States in 2020. Using e-commerce customer data from 2020 available on Kaggle, this research analyzes cohort retention to understand the number of customers from each cohort who continue to make purchases in subsequent months. Additionally, this study evaluates the implementation of data analysis to assess the effectiveness of promotional strategies and their impact on customer loyalty and retention. The results show that retention percentages decline over time, with the number of active customers decreasing after registration. However, some cohorts exhibit better retention performance. For instance, the April cohort saw a significant increase from 18.46% to 29.23%, and the May cohort experienced the highest increase from 14.29% to 30.16%. On the other hand, the January cohort showed the most drastic retention drop from 100% to 10.42% after the first month, with the largest monthly decline from 23.96% in April to 7.29% in May. These findings provide practical guidance for e-commerce companies in developing more effective strategies to improve customer retention. Further analysis is recommended to understand the specific causes of these retention trends and to develop more holistic strategies to support better business decisions and increase long-term profitability.

This research seeks to assess PT. BNI (Persero) Tbk's performance through the utilization of the balanced scorecard approach, encompassing financial, customer, internal processes, and learning/growth perspectives. The study, employing a descriptive method, focuses on PT. BNI (Persero) as the sample population, utilizing documentation techniques for data collection. Results indicate favorable financial indicators (ROA, ROE, NPM, BOPO, LDR), subpar customer metrics (customer acquisition, retention), excellent internal business processes (AETR, NGR), and positive learning/growth aspects (employee productivity, ETTE).