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14 articles for “Customer retention”
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The Probability Model of Customer Retention with Measuring Customers’ Satisfactions
Abstract: Customer retention rate is an important topic in E-commerce when company hopes to keep the profit from the active customers by marketing programs. This study constructs a probability model to consider customer retention, follows Weibull distribution and is influenced by their satisfaction which is considered as a parameter on retention probability density function. A Bayesian form is formulated by calculating marginal density of customer retention. This probability model can predict …
Published in E-Commerce for Future & Trends · Vol. 8, Issue 1, 2021 · pp. 31–34 Read article
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Customers’ Information: A Tool for Customers’ Retention in Hotels, A Case Study of Presidential Hotel, Rumuola, Portharcourt, Rivers State
Abstract: This research focused on customers’ information, a tool for customers’ retention, a case study of Presidential Hotel, Rumuola, Portharcourt, Rivers State. Specifically, the study helped to know how to win customers in other words to retain them and make them enjoy the various services being paid for and prefer such services to other competing hotels. The study made use of survey for its research design and a sample size of …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 7, Issue 3, 2017 · pp. 1–6 Read article
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A Comprehensive Analysis of Classification Methods for Churn Prediction in Financial Services
Abstract: Persistent issues that affect long-term revenue in the banking sector include excessive client attrition. Customary churn models depend on measures related to customer satisfaction, which often result in low predictive accuracy due to their subjective nature. This study proposes an effective early warning model to address customer churn in financial services. Data is preprocessed through cleaning, one-hot encoding, Z-score normalization, and Min-max scaling. To handle class imbalance, the SMOTE algorithm …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 2, 2025 · pp. 47–61 Read article
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A New Model for Calculating Customer Lifetime Value on Monetary, Interpurchase Time and Retention
Abstract: Customer lifetime value(CLV) is an important an index to help company measure its customer value and allocate its marketing resource efficiency. CLV model bases on economic concept to calculate customer value with their purchase behavior.This paper construct a new model for calculating customer lifetime value on monetary, interpurchase time and retention. The empirical data of a credit card company is used to estimate parameters and compare the predicting results with …
Published in Journal of Production Research & Management · Vol. 11, Issue 2, 2021 · pp. 1–8 Read article
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Generalized Churn Prediction
Abstract: Abstract: Customer churn evaluation and management are important to determine the loyalty of customers with the firm and thus to remain aware of each customer whether he will stay or leave the firm. This, in turn, will be used to determine the value of the firm and hence its place in the market. This paper includes existing literature which has been done in the field of churn analysis from time …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 3, 2019 · pp. 19–24 Read article
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Customer Churn Prediction Using ML Algorithms
Abstract: Comprehending customer churn is essential for businesses aiming to enhance and sustain customer relationships. This study introduces a machine learning approach aimed at forecasting customer churn by leveraging demographic and behavioral data. Our research involved developing predictive models using support vector machines (SVM), random forests, and decision trees, evaluating their efficacy using real-world data from the telecom industry. Our findings underscore that random forests consistently outperform SVM and decision trees …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 2, 2024 · pp. 70–75 Read article
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Customer Churn Prediction in Life Insurance
Abstract: In order to forecast customer churn and keep consumers, life insurance firms frequently struggle to use their data efficiently. New opportunities have emerged for tackling this problem due to advancements in categorization models within the field of machine learning. In this study, we suggest an innovative method that uses machine learning classification models to forecast client churn and boost customer retention rates in the life insurance sector. Our proposed system …
Published in E-Commerce for Future & Trends · Vol. 10, Issue 1, 2023 · pp. 23–34 Read article
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Customer Segmentation for Enhancing Customer Centric Business
Abstract: Customer segmentation is grouping customers based on similarities so companies can approach each group for marketing effectively and appropriately. Customer segmentation is important for enhancing customer centric business for gaining retention among customers by campaigning them using better marketing strategies, causing more institutional benefit. This paper segments customers by analyzing their characteristics based on both demographic and behavioral attributes using K-Means clustering algorithm and Self-Organizing Maps (SOM). K-Means is a …
Published in E-Commerce for Future & Trends · Vol. 8, Issue 1, 2021 · pp. 17–31 Read article
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WEBSITE FOR OM SAI TYRES AND AUTO-SERVICES
Abstract: In today's fast-paced world, people are always looking for ways to simplify their lives, reduce physical work, and maximize convenience. This project aims to automate the overall process for the owner of the garage, mechanic, and the user by identifying the various factors that affect the servicing and maintenance process of automobiles. By doing so, the project seeks to speed up the time required for these processes.The idea behind the …
Published in Journal of Automobile Engineering and Applications · Vol. 10, Issue 1, 2023 · pp. 11–18 Read article
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Revolutionising Marketing: Leveraging Blockchain and AI for Impactful Management
Abstract: In today's rapidly evolving business landscape, marketing management faces numerous challenges, including effective decision-making, customer engagement, and data security. Advanced technologies like AI and Blockchain have revolutionized the marketing domain, providing novel solutions to address these challenges. AI plays an essential role in marketing management through its utilization of data analysis, predictive modelling, and automation, providing marketers with the ability to extract valuable insights from extensive data sources, facilitating data-informed …
Published in E-Commerce for Future & Trends · Vol. 10, Issue 3, 2023 · pp. 26–33 Read article
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Product Replacement Strategies for Perishable Inventory Systems using Queuing Theory
Abstract: Inventory management plays a crucial role in managing production processes as well as the supply chains. The study of inventory systems with perishable products has a special significance as it influences the cost and revenue of a firm. Product replacement strategies act like safeguards to the retailers (firms) dealing with the business of perishable products. An inventory system with perishable products and product replacement is studied. A finite capacity multi-channel …
Published in Journal of Production Research & Management · Vol. 2, Issue 1-2-3, 2012 · pp. 18–25 Read article
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Predicting Churners from the User Base of a Business - A Review
Abstract: AbstractCustomer churn prediction and management is a foremost job aimed by enterprises to maintain cost-effective customers and thus many customer churn prediction models are developed which aim to categorize consumers as non-churners or churners & then retention actions are taken to prevent churners from churning. The data from different companies like Telecommunication Company, financial company, Retail Company etc. can be used to discover valuable patterns which predict the customers’ relationship …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 2, 2019 · pp. 8–16 Read article
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Revolutionizing Drug Delivery: Recent Advances in Pharmaceutical Dosage Forms
Abstract: Recent advances in pharmaceutical dosage forms revolutionize drug delivery, prioritizing targeted therapy and patient well-being. Enhanced drug carriers address complex medical challenges, from high-grade gliomas to ocular drug delivery, maximizing therapeutic efficacy while minimizing adverse effects. Traditional dosage forms like tablets and capsules undergo meticulous formulation and manufacturing processes, integrating Quality by Design principles for consistent product quality. Liquid formulations encounter stability challenges, necessitating rigorous stability testing and pH monitoring. …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 1, 2024 · pp. 77–89 Read article
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Polysaccharide-Based Hydrogels for Sustained Drug Release in Pharmacology
Abstract: Polysaccharide-based hydrogels have showed great potential in medicine as materials for long-lasting, under control medication delivery systems. Natural polysaccharides include chitosan; alginate, agarose, and cellulose form these hydrogels. Among its many advantages are biocompatibility, biodegradability, and customising ability for various drug release rates. Reacting to pH, temperature, and ionic strength changes in the surroundings, polysaccharide-based hydrogels may swell. For usage requiring the release of therapeutic substances over an extended period …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 300–312 Read article