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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.

This study aims to analyze the mediating role of brand image in the effect of promotional appeal on customer loyalty, specifically in the context of Jiniso fashion products. The research was conducted in Denpasar City using a non-probability sampling method with a purposive sampling technique. A total of 100 respondents were selected based on specific criteria relevant to the study objectives. The data were analyzed using inferential statistical techniques, including path analysis, the Sobel test, and the Variance Accounted For (VAF) test to determine the direct and indirect effects between variables. The results of the study show that promotional appeal has a positive and significant effect on customer loyalty, indicating that attractive and persuasive promotional strategies are capable of increasing consumer commitment to the brand. Furthermore, promotional appeal has a positive and significant effect on brand image, meaning that well-designed promotional messages help build a favorable perception of the brand among customers. The findings also reveal that brand image has a positive and significant effect on customer loyalty, demonstrating that a strong brand image enhances customer retention and repeated purchases. Importantly, the analysis indicates that brand image partially mediates the relationship between promotional appeal and customer loyalty. This suggests that while promotional appeal directly influences loyalty, it also indirectly enhances loyalty through the improvement of brand image. These findings provide practical implications for marketers and brand managers, emphasizing the importance of developing integrated marketing strategies that combine promotional efforts with brand-building activities to strengthen customer loyalty in the competitive fashion industry. Future research could examine other mediating factors or expand the study to other sectors to increase external validity.

This study aims to identify and measure the influence of customer relationships, customer satisfaction, and brand image on customer loyalty at Ryandini’s Sweet Chicken Claw business, located in Sei Sijenggi Village, Hamlet III, Perbaungan District, Serdang Bedagai Regency. A quantitative research method was employed, with data collected through observation, documentation, and questionnaires. The questionnaires used a Likert scale as a measurement tool to assess respondents’ opinions accurately. Data analysis was conducted using several stages, including validity and reliability tests, classical assumption testing, and multiple linear regression analysis, processed through SPSS version 22. These methods were used to ensure the validity of the instrument and the consistency of the findings. The research findings demonstrate that customer relationships have a significant and positive effect on customer loyalty. Customers who feel connected and valued by the business are more likely to remain loyal. Likewise, customer satisfaction—reflecting the extent to which customers' expectations are met or exceeded—has a strong and positive influence on loyalty. In addition, the brand image of the business, which encompasses customer perceptions and reputation of the product, also significantly influences loyalty in a positive direction. Furthermore, the simultaneous analysis of customer relationships, customer satisfaction, and brand image shows that all three variables jointly have a significant and positive impact on customer loyalty. This means that enhancing these three factors can strengthen customer retention and long-term commitment. These results provide valuable insights for small business owners in the food and beverage industry. Focusing on building strong relationships with customers, consistently delivering satisfaction, and maintaining a positive brand image are essential strategies to increase loyalty. For Ryandini’s Sweet Chicken Claw and similar businesses, these findings offer practical guidance for developing customer-centered marketing strategies in an increasingly competitive market.

This study aims to analyze the impact of experiential marketing on repurchase intention, mediated by guest satisfaction at Aston Batam Hotel & Residence. The background phenomenon underlying this research is the discrepancy between the high number of guests staying and the low number of returning guests during the period from January to June 2024. Despite receiving many positive reviews, the hotel has yet to establish strong customer loyalty. This indicates a need to evaluate the hotel's marketing strategies and the guest experience it provides. A quantitative approach was adopted, employing the Structural Equation Modeling–Partial Least Squares (SEM-PLS) method. A total of 130 respondents were obtained through the distribution of questionnaires using a five-point Likert scale, measuring guest perceptions of experiential marketing, guest satisfaction, and repurchase intention. The data were analyzed using SmartPLS software to test the validity, reliability, and relationships among the structural model variables. The results of the analysis show that experiential marketing does not have a direct significant effect on repurchase intention, but it has a positive and significant effect on guest satisfaction. Furthermore, guest satisfaction is proven to have a significant impact on repurchase intention. The findings also confirm that guest satisfaction acts as a mediating variable in the relationship between experiential marketing and repurchase intention. The conclusion of this study emphasizes that guest satisfaction is a crucial factor in building customer loyalty and encouraging the intention to repurchase. Therefore, the hotel needs to enhance the quality of the customer experience holistically—not only focusing on service delivery but also creating meaningful and memorable impressions. In the highly competitive hospitality industry, delivering impactful and satisfying experiences is key to retaining customers and increasing guest retention. This study provides both theoretical and practical contributions to the development of experience-based marketing strategies and offers a deeper understanding of the role of guest satisfaction as a key driver of customer loyalty.

This study examines a comprehensive approach to addressing common issues in laundry services, such as ineffective scheduling, skills gaps, and operational inefficiencies. The research focuses on RPK Omah Laundry Prapen, aiming to improve work processes and optimize human resources in this laundry business. The proposed solutions include the implementation of an attendance system, financial application training, laundry and ironing skills training, and a single-shift work system. The attendance system is designed to improve workforce punctuality, while the financial application training aims to enhance employees' understanding of financial management. Additionally, providing specific training on laundry and ironing techniques helps to bridge the skills gap and ensure high-quality service. The introduction of a single-shift work system aims to increase efficiency by streamlining operations and reducing staff fatigue. The results of the study indicate that these proposed solutions lead to several positive outcomes. The attendance system contributes to better time management, fostering a sense of responsibility among employees. Financial application training helps staff manage the business's finances more effectively, leading to more informed decision-making. Furthermore, the skills training program has shown improvements in the quality of laundry and ironing services, which directly impacts customer satisfaction and retention. The adoption of a single-shift work system reduces operational costs and increases the overall efficiency of the laundry services. Ultimately, this approach enhances fairness, operational efficiency, and productivity, creating a more conducive work environment. Implementing these integrated solutions can help laundries, such as RPK Omah Laundry Prapen, achieve better, sustainable performance by addressing key operational challenges and maximizing their workforce's potential. This study provides valuable insights for other laundries looking to optimize their operations and improve long-term business success.

This study aims to examine the influence of independent variables—Social Media, Pricing, and Promotion—on the dependent variable, Repurchase Decision, at Kedai Kopi Bersahaja. A quantitative research method was employed, utilizing multiple linear regression analysis with the assistance of SPSS 25 software. The population of the study consisted of 226 consumers, and a sample of 107 respondents was selected using incidental sampling techniques. Data were collected through questionnaires distributed to visitors who had made at least one purchase at the coffee shop. The results of the analysis indicate that each independent variable—Social Media, Pricing, and Promotion—has a positive and statistically significant partial influence on the Repurchase Decision. Additionally, the variables collectively demonstrate a strong simultaneous influence, suggesting that an integrated marketing approach is crucial for fostering customer retention and encouraging repeat purchases. Among the three, Social Media showed the most dominant influence, emphasizing the growing role of digital presence and online engagement in shaping consumer preferences and purchasing patterns. Based on these findings, it is recommended that Kedai Kopi Bersahaja maximize the use of social media platforms such as Instagram, TikTok, and Facebook by creating engaging, relevant, and interactive content that resonates with the target audience. Content strategies may include customer testimonials, behind-the-scenes videos, product highlights, and limited-time offers. Pricing should be evaluated periodically to remain affordable yet profitable, considering both market competition and perceived customer value. Meanwhile, promotion efforts can be diversified through the use of loyalty programs, bundle offers, student discounts, and digital coupons. The synergy between these three marketing factors—if consistently and strategically applied—is expected to enhance customer loyalty, strengthen brand image, and significantly increase the likelihood of repurchase decisions. These efforts are essential for building sustainable business growth in the competitive food and beverage industry.

The study presents a comprehensive framework for optimizing customer retention budget by integrating clustering, classification, and mathematical optimization techniques. The study begins with the IBM Telco dataset, which is prepared through data cleansing, encoding, and scaling.  In the preliminary phase, customer segmentation is performed using K-Means clustering, with k = 3 and k = 4 identified as optimal based on the elbow method and Silhouette score. The configurations produced three (Premium, Standard, Low) and four (Premium, Standard Plus, Standard, Low) customer segments based on purchase preferences, which served as input features for churn prediction. In the second phase, the dataset was divided into training and test sets in an 80:20 ratio, followed by data balancing using the Synthetic Minority Over-sampling Technique (SMOTE) and Edited Nearest Neighbors (ENN). Multiple classification algorithms were evaluated, including Naive Bayes (NB), Random Forest (RF), Categorical Boosting (CatBoost), Light Gradient Boosting Machine (LightGBM), Extreme Gradient Boosting (XGBoost), Gradient Boosting (GB), Support Vector Machine (SVM), Logistic Regression (LR), K-Nearest Neighbors (KNN), and Multi-Layer Perceptron (MLP) using F1-score as the performance metric. CatBoost and LightGBM, with k values of 3 and 4, respectively, were the highest-performing classification models, with only minimal differences in performance.    Ultimately, customer segmentation established customer prioritization, whereas churn prediction assessed customer churn likelihood. Four distinct configurations were assessed utilizing mixed-integer linear programming (MILP) to optimise retention budget allocation within uniform budget constraints, discount amounts, and churn thresholds. In both the k=3 and k=4 scenarios, CatBoost surpassed LightGBM, with CatBoost at K=3 effectively discounting 66% of at-risk consumers across all three segments, hence improving the intervention's efficacy and budget allocation, making it the ideal choice for maximizing customer retention. The results demonstrate the importance of segmentation in enhancing retention budgeting and budget optimization, particularly concerning parameter sensitivity.

The bodywork industry in Indonesia is under high competitive pressure, requiring companies to be more adaptive in understanding customer behavior in order to maintain business continuity. PT. Bengawan Karya Sakti as one of the national bodywork companies, has not optimally utilized historical transaction data to assess customer loyalty. This study aims to identify customer loyalty segmentation through the application of the RFM (Recency, Frequency, Monetary) method, which is used to analyze sales transaction data in 2022 and 2023. The study uses the CRISP-DM approach which includes the stages of business understanding, data exploration, data cleaning and processing, modeling, evaluation, and implementation of results. The transaction data analyzed includes attributes of transaction date, customer, number of transactions, and transaction value, which are then processed into RFM scores based on the transaction year and classified into categories such as Very Loyal, Loyal, At Risk, and others. The segmentation results show an increase in the number of very loyal customers from 2022 to 2023, as well as a significant decrease in inactive and at-risk customers. The chi-square statistical test shows that the difference in customer distribution between years is statistically significant (p-value <0.05), indicating a real influence from the company's strategy or external factors. The main conclusion of this study is that the RFM method is effective in the bodywork industry to support data-based marketing decision making and more targeted customer retention strategies.

Public transportation, with Transjakarta as its main pillar, requires a deep understanding of customer behavior to improve service quality and maintain loyalty. This study aims to segment Transjakarta customers using data mining techniques, specifically the K-Means Clustering algorithm, based on the RFM (Recency, Frequency, Monetary/Value) behavioral model. 37,900 rows of raw transaction data were processed into a clean database, resulting in 1,917 unique customers for analysis. The RFM metrics were then normalized using Min-Max Scaler. The optimal number of clusters was evaluated using the Elbow Curve and Silhouette Score Methods, which led to the determination of k = 4 clusters. The segmentation results identified four customer groups requiring specific strategies: Cluster 3 (Champions) with high R, F, and V (requiring rewards and retention); Cluster 0 (Active, Low Value) with high R and F but low V (requiring upsells and cross-sells); Cluster 1 (Potential/At-Risk); and Cluster 2 (Dormant/Lost). Preliminary analysis (EDA) showed that nearly half of customers (49.3%) used Bank DKI cards, dominated by the productive age group (25–45 years old), with the Rusun Kapuk Muara–Penjaringan route being the busiest. The main managerial recommendation is to strengthen the partnership with Bank DKI and optimize services in this busy corridor.

This study examine the impact of product quality and service quality on consumer loyalty toward Bakso Adi, a local culinary business in Lampung, Indonesia. In recent years, consumers have become increasingly discerning, making product satisfaction and service experience crucial elements in shaping their loyalty. The research aims to examine how these two variables affect customer loyalty behavior, including repeat purchases, positive recommendations, and resistance to switching brands. The study employs a quantitative approach using a multiple linear regression model, with data collected through a questionnaire to 100 respondents (purposive sampling). The findings is both product quality and service quality significantly positively impact consumer loyalty. Product quality influences loyalty by meeting consumer expectations in taste and consistency, while service quality contributes through positive emotional experiences during customer interactions. These findings highlight the dual importance of maintaining high standards in both product and service aspects to retain customer trust and engagement. In conclusion, businesses like Bakso Adi must prioritize continuous improvement in product quality and service delivery to foster long-term customer loyalty. This study contributes to the understanding of loyalty formation in local food businesses and offers practical insights for 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.

The problem of this research is how the implementation of the management control system in TOSERBA MMTC and what strategies are carried out to improve competitiveness in TOSERBA MMTC. The purpose of this study is to determine how the implementation of the management control system in TOSERBA MMTC and to determine what strategies are carried out to improve competitiveness in TOSERBA MMTC. This research method uses a qualitative approach. The data analysis techniques used are data reduction, data presentation and drawing conclusions. The results of the study TOSERBA MMTC has implemented a structured management control system at three levels: strategic, operational, and financial. Strategic involves quarterly planning based on historical data; operational combines computerized information systems and a collaborative work culture; while finance applies tiered authorization and bottom-up budgeting, which has successfully reduced budget deviations by 22%. To improve competitiveness, MMTC carries a hyperlocal strategy by selling 45% local products, digital transformation such as WhatsApp Business and dynamic discount systems, and marketing through local social media and digital loyalty programs, which have proven effective in increasing sales and customer retention.

This study examines the factors influencing customer retention at Surya Fresh MSMEs in Depok City, West Java. The primary issue identified is the instability of customer retention, which is mainly attributed to intense market competition, the rapid pace of digital marketing, and the evolving customer expectations in the modern business environment. This study aims to analyze the impact of product quality, e-service quality, and reward programs on customer retention, with relationship commitment as a mediating variable. A quantitative approach with an explanatory research design was employed to test the relationships among variables. Primary data were collected through a Likert-scale questionnaire from 224 Surya Fresh customers using a simple random sampling technique. Data analysis was conducted using the PLS-SEM method in SmartPLS, including validity, reliability, and structural model assessments. The findings indicate that product quality, e-service quality, and reward programs significantly influence relationship commitment and customer retention. Moreover, relationship commitment was found to mediate the effects of these three factors on customer retention, highlighting its importance in enhancing customer loyalty. High e-service quality, superior product quality, and attractive reward programs foster strong emotional connections with customers, which are crucial for sustaining long-term customer loyalty. The study concludes that product quality, e-service quality, and reward programs have a positive and significant impact on relationship commitment and customer retention at Surya Fresh. Relationship commitment is confirmed as a key mediator. To further improve retention, Surya Fresh should focus on enhancing product availability, administrative responsiveness, and offering diverse promotional programs. Future studies may apply this model in different industries and integrate qualitative methods for deeper insights.

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”.

Customer churn is a major challenge in e-commerce, directly affecting revenue and profit. This study aims to develop a machine learning model using XGBoost to predict churn probability. To handle class imbalance, SMOTE was applied as a resampling method, and hyperparameter tuning was performed to enhance performance. The model was evaluated using the F2-score, prioritizing recall while maintaining precision. The results show that the XGBoost model with SMOTE achieves strong performance, with an F2-score of 0.849 on the tuned test data. This model can help businesses identify at-risk customers early, enabling proactive retention strategies.

The Internet of Things (IoT) has become one of the leading technologies in digital transformation, including in customer relationship management (CRM). This article discusses how IoT integration in CRM systems can improve customer satisfaction and retention through real-time data collection, service personalization, and data-driven decision making. With a literature study and implementation analysis, this research shows that IoT technology can provide deeper insight into customer behavior, improve operational efficiency, and create a more satisfying customer experience.

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 explores digital marketing strategies employed by Small and Medium Enterprises (SMEs) to enhance customer engagement in an increasingly competitive business environment. By leveraging tools such as social media, email marketing, content marketing, and search engine optimization (SEO), SMEs can establish stronger connections with their target audience. The research highlights key practices, including personalized communication, interactive content, and data-driven decision-making, which contribute to customer loyalty and retention. Furthermore, challenges faced by SMEs, such as limited budgets and technological expertise, are discussed alongside potential solutions. The findings provide actionable insights for SMEs to optimize their digital marketing efforts and foster long-term customer relationships.