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Journal articles on the topic 'Target Customers'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Eni Maryati, Wahyu. "Studi Penerapan Strategi Segmentasi Pasar, Target Pasar dan Penempatan Posisi Guna Peningkatan Jumlah Konsumen pada Hotel Kartika Wijaya Batu." Jurnal Teknik Industri 2, no. 2 (2010): 167. http://dx.doi.org/10.22219/jtiumm.vol2.no2.167-178.

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Market segmentationh ave purpose to devide plural customersi nlo the same marketsegmentationF. rom this segment,m arket sharet hat will be served dependingt o the segmentt hat givemaximum profit for Kartika Wijaya Hotel Batu.The methodu sedi n this researchis usingc lustera nalysisw ith SPSSp rograma s a help.T hesecondm ethodt hat be usedi s caracteristiacn alysism ethodo f customeres achs egmenut singc rossT absanalysisa nd the third methodu singp references tructurea nalysism ethodo f segmenut sing Thurstone'scase analysis.In customers egmentatioann alysisu singc lastera nalysisc an got 5 s

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Swathi, G., Sudha Rani Donepudi, and K. Ramash Kumar. "Personified Behavioural Demand Response Model for the Reduction of Peak Time Energy Consumption Coincidence of Domestic Sector with the Utility." WSEAS TRANSACTIONS ON POWER SYSTEMS 16 (December 31, 2021): 361–73. http://dx.doi.org/10.37394/232016.2021.16.36.

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Curtailment of discrete customer’s demand coincidence with utility demand during peak time ends up in good benefits to the utility at different levels as this coincidence is very expensive due to additional requirement of demand. Though few Demand Response(DR) programs are working towards this peak time energy coincidence reduction, they are not that successful due to either requirements of technological installations near customer premises or penalising the customer or lack of encouraging the customer to achieve the reduction. This work proposes a Personified Behavioural Demand Response (P-BD

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Curth, Susanne, Sebastian Uhrich, and Martin Benkenstein. "How commitment to fellow customers affects the customer-firm relationship and customer citizenship behavior." Journal of Services Marketing 28, no. 2 (2014): 147–58. http://dx.doi.org/10.1108/jsm-08-2012-0145.

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Purpose – The purpose of this paper is to analyze how affective commitment to fellow customers influences a customer's affective commitment to the service provider and customer citizenship behavior (CCB). In addition, the paper seeks to examine the moderating role of a customer's calculative commitment to the service organization. Design/methodology/approach – The study used a large-scale survey among customers of a health club and a scenario-based experiment to test the hypotheses. Findings – Both empirical studies provide evidence that affective commitment to fellow customers has positive co

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Sakalauskas, Virgilijus, and Dalia Kriksciuniene. "Personalized Advertising in E-Commerce: Using Clickstream Data to Target High-Value Customers." Algorithms 17, no. 1 (2024): 27. http://dx.doi.org/10.3390/a17010027.

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The growing popularity of e-commerce has prompted researchers to take a greater interest in deeper understanding online shopping behavior, consumer interest patterns, and the effectiveness of advertising campaigns. This paper presents a fresh approach for targeting high-value e-shop clients by utilizing clickstream data. We propose the new algorithm to measure customer engagement and recognizing high-value customers. Clickstream data is employed in the algorithm to compute a Customer Merit (CM) index that measures the customer’s level of engagement and anticipates their purchase intent. The CM

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Cahoon, Joyce, Wenjing Wang, Yiwen Zhu, et al. "Doppler." Proceedings of the VLDB Endowment 15, no. 12 (2022): 3509–21. http://dx.doi.org/10.14778/3554821.3554840.

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Selecting the optimal cloud target to migrate SQL estates from on-premises to the cloud remains a challenge. Current solutions are not only time-consuming and error-prone, requiring significant user input, but also fail to provide appropriate recommendations. We present Doppler, a scalable recommendation engine that provides right-sized Azure SQL Platform-as-a-Service (PaaS) recommendations without requiring access to sensitive customer data and queries. Doppler introduces a novel price-performance methodology that allows customers to get a personalized rank of relevant cloud targets solely ba

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Gawande, Pritha, Niyati Patel, and Anupama Chirag Dave. "Vrundavan sales corporation (VSC) – profiling target customers." Emerald Emerging Markets Case Studies 15, no. 2 (2025): 1–29. https://doi.org/10.1108/eemcs-07-2024-0308.

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Learning outcomes Concept of customer profiling/segmentation and its application for marketing decision making. Learning the concept of recency, frequency and monetary (RFM) and applying RFM analysis for customer segmentation. Understanding the concept of target marketing and its importance in customer retention. Curation of marketing activities for identified customer segments. Case overview/synopsis Vrundavan Sales Corporation (VSC), Rajkot, a trading business dealing in agricultural machinery, was established in Rajkot, Gujarat, in 2015. The company was founded by Dayanandbhai Vyas (Chairma

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Galli, Brian J. "The Value of Marketing in Project Environments from Three Key Perspectives." International Journal of Service Science, Management, Engineering, and Technology 10, no. 1 (2019): 1–18. http://dx.doi.org/10.4018/ijssmet.2019010101.

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Marketing is a tool that can prove to be very valuable to many different areas of business; it has impacts on several different areas, but it is important to analyze the relationships that technical marketing has with three key areas, those being: the voice of the customer, technology, and new product development. In any marketing investment, it is important to identify the target customer, collect the information about the customer and what the customer's want. The company could use “voice customer” to understand the needs and wants of customers. Understanding and realizing the customer's nee

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Ishiguro, Hisatoshi, and Kakuro Amasaka. "Proposal And Effectiveness Of A Highly Compelling Direct Mail Method - Establishment And Deployment Of PMOS-DM." International Journal of Management & Information Systems (IJMIS) 16, no. 1 (2011): 1. http://dx.doi.org/10.19030/ijmis.v16i1.6717.

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No clear processes are used at car dealers when deciding target customers for direct mail campaigns, and individual sales representatives rely on their experience when making such decisions. This means that dealer strategies lose their effectiveness and dealers fail to achieve the desired increase in customer visits. Thus, for this study, the author has established the Practical Method using Optimization and Statistics for Direct Mail (PMOS-DM) as a method of deciding the most suitable target customers for direct mail campaigns. Specifically, in order to both clarify the dealers target custome

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Hauser, John R., Duncan I. Simester, and Birger Wernerfelt. "Internal Customers and Internal Suppliers." Journal of Marketing Research 33, no. 3 (1996): 268–80. http://dx.doi.org/10.1177/002224379603300302.

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To push a customer and market orientation deep into the organization, many firms have adopted systems by which internal customers evaluate internal suppliers. The internal supplier receives a larger bonus for a higher evaluation. The authors examine two internal customer-internal supplier incentive systems. In one system, the internal customer provides the evaluation implicitly by selecting the percentage of its bonus that is based on market outcomes (e.g., a combination of net sales and customer satisfaction if these measures can be tied to incremental profits). The internal supplier's reward

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Ascarza, Eva. "Retention Futility: Targeting High-Risk Customers Might be Ineffective." Journal of Marketing Research 55, no. 1 (2018): 80–98. http://dx.doi.org/10.1509/jmr.16.0163.

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Companies in a variety of sectors are increasingly managing customer churn proactively, generally by detecting customers at the highest risk of churning and targeting retention efforts towards them. While there is a vast literature on developing churn prediction models that identify customers at the highest risk of churning, no research has investigated whether it is indeed optimal to target those individuals. Combining two field experiments with machine learning techniques, the author demonstrates that customers identified as having the highest risk of churning are not necessarily the best ta

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Noura, Abdaoui, Hadj Khalifa Ismahène, and Faiz Sami. "Process of Personalizing the Ubiquitous Advertisements." International Journal of Knowledge Society Research 8, no. 2 (2017): 13–35. http://dx.doi.org/10.4018/ijksr.2017040102.

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In this paper, we propose an approach combining behavioral and targeting techniques for a better reaction of the customer with a star product using a personalized ubiquitous advertisement. We use the clustering to study the customer's behavior and the association rules to estimate the probability of star product's purchases in the near future. In order to validate our approach, we develop a prototype to send a personalized advertisement to loyal customers and potential customers in ubiquitous environment. Each target receives the advertising according his classification and his degree of loyal

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Gholami, Atena, Reza Sheikh, Neda Mizani, and Shib Sankar Sana. "ABC analysis of the customers using axiomatic design and incomplete rough set." RAIRO - Operations Research 52, no. 4-5 (2018): 1219–32. http://dx.doi.org/10.1051/ro/2018022.

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Customer’s recognition, classification, and selecting the target market are the most important success factors of a marketing system. ABC classification of the customers based on axiomatic design exposes the behavior of the customer in a logical way in each class. Quite often, missing data is a common occurrence and can have a significant effect on the decision- making problems. In this context, this proposed article determines the customer’s behavioral rule by incomplete rough set theory. Based on the proposed axiomatic design, the managers of a firm can map the rules on designed structures.

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Bhaskar, Rahul. "A Customer Relationship Management System to Target Customers at Cisco." Journal of Electronic Commerce in Organizations 2, no. 4 (2004): 64–74. http://dx.doi.org/10.4018/jeco.2004100105.

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Hwang, Seongbeom, and Yuna Lee. "Identifying customer priority for new products in target marketing: Using RFM model and TextRank." Innovative Marketing 17, no. 2 (2021): 125–36. http://dx.doi.org/10.21511/im.17(2).2021.12.

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Target marketing is a key strategy used to increase the revenue. Among many methods that identify prospective customers, the recency, frequency, monetary value (RFM) model is considered the most accurate. However, no RFM study has focused on prospects for new product launches. This study addresses this gap by using website access data to identify prospects for new products, thereby extending RFM models to include website-specific weights. An RF model, built using frequency and recency information from website access data of customers, and an RwF model, built by adding website weights to freque

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Wang, Kesheng, Xinyu Hu, and Yuanqian Ma. "Electricity Sales Package Decision Making Using Two-Stage Density Clustering and Minimum Adjustment Distance Consensus." Applied Sciences 14, no. 13 (2024): 5747. http://dx.doi.org/10.3390/app14135747.

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In the decision making of electricity sales packages, it is usually the specific situation of similar customers that provides the basis of a decision-making plan for target customer package selection, so it is particularly important to integrate the opinions of similar customers. Therefore, a multi-attribute group decision-making method for an electricity sales package is proposed, which is based on two-stage density clustering (TSDC) and minimum adjustment distance consensus. Firstly, in order to provide support for identifying similar customers among target customers, a sample customer set c

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Medler-Liraz, Hana. "The role of service relationships in employees’ and customers’ emotional behavior, and customer-related outcomes." Journal of Services Marketing 30, no. 4 (2016): 437–48. http://dx.doi.org/10.1108/jsm-05-2014-0156.

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Purpose This paper aims to explore service encounters from a social behavior perspective. By proposing that employees’ emotional labor strategies are influenced by customer displays of emotion, this paper answers calls to investigate the reciprocal nature of service interactions and the importance of taking both customers and service providers into account when delivering high-quality service is the goal. Design/methodology/approach The sample consisted of 121 dyads of customers and service employees from hairstyling salons. Data were collected from observations of the customers’ emotional dis

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Rybowska, Agnieszka, and Kinga Dawidowska. "Sensory Marketing According to Shopping Centre Customers." Scientific Journal of Gdynia Maritime University, no. 129 (2024): 46–61. http://dx.doi.org/10.26408/129.04.

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Sensory marketing is one of the forms of marketing communication and a method of customer attachment to the brand. It is based on influencing the customer's senses, which is supposed to affect their sensory experience and, as a result, positive recollection of the product's brand. The aim of the study was to find out the opinions of shopping mall customers on sensory marketing activities. Two studies were conducted: a survey and an observation study. Both surveys involved young people: customers of shopping malls. It has been shown that young customers are knowledgeable about sensory marketing

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SARAVANAN, Dr T., and A. SURYA. "A STUDY ON E MARKETING STRATERGIES FOR CONSUMER BEHAVIOR." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, no. 09 (2023): 1–11. http://dx.doi.org/10.55041/ijsrem25784.

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Today’s marketing has taken reshape by digitalization, and every customer is accompanied with Smartphone’s with WI-FI and internet connections, understanding the target customers become vital. Customer choices are need based and it is decisive, who is creating the need, whether at the customer’s part or by the marketer. Rationality and impulsive decisions may either take place in their choice of purchase decisions. In online stores, the marketers are following the customers wherever they go through. Online markets are flourishing every day and hence, customer’s choices have begun more into imp

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Sae-Eaw, Amporn, Sasichakorn Wongsaichia, Davide Giacalone, Phaninee Naruetharadhol, and Chavis Ketkaew. "Conceptualizing a Gluten-Free Instant Noodle Prototype Using Environmental Sustainability Aspects: A Cross-National Qualitative Study on Thai and Danish Consumers." Foods 11, no. 16 (2022): 2437. http://dx.doi.org/10.3390/foods11162437.

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Gluten-free food products have been developed to satisfy the needs of consumers with celiac disease. However, there has been little research on the product feature development of sustainable gluten-free instant noodles through a qualitative study to explore the customer insights related to environmental attitude and purchase decision. Using a cross-national comparative study between Thai and Danish consumers, this study aims to (1) identify the target customer segments for each country; (2) explore the target customer segments regarding behaviours, desired outcomes, and pain points; and (3) su

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Sadeghlo, Reza, and Ali Sorayai. "The effect of relational benefits on customer perceived value among customers Sabah Dairy Company in Golestan Province." Journal of Management and Accounting Studies 4, no. 03 (2019): 33–36. http://dx.doi.org/10.24200/jmas.vol4iss03pp33-36.

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The aim of this study was to evaluate the effect of relational benefits on customer perceived value among customers Sabah Dairy Company in Golestan province. Methodology: The research method is descriptive correlation is considered. The target population included all dairy customers Sabah in Golestan province of 100,000 people. The sample proportional to the number of people using Morgan table is 384. And random sampling method was simple. Library and field research data was gathered using a standardized questionnaire was used tools. The reliability of the questionnaire using Cronbach and vali

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Pham, Trung Kien, Thang Duc Nguyen, Chien Van Le, and Thuong Van Nguyen. "Analyzing customer sentiments using K-means algorithm." Journal of Mining and Earth Sciences 61, no. 5 (2020): 145–50. http://dx.doi.org/10.46326/jmes.ktqtkd2020.19.

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Customer segmentation is the process of dividing customers based on common characteristics such as their behavior, buying habits and service usage,... so that companies can market for each group customers more effectively and appropriately. The paper analyzes customer cluster segmentation via the K-Means clustering methods of a business sector. The research was conducted on 272 customers with characteristics of age, income and expense score. The research results are divided into 2 target customer clusters, promising to help care and marketing customers more effectively; Help business units to

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Lestira Putri Warganegara, Tri, and Sendi Septiadi. "Pengambilan Keputusan Strategi Dalam Pencapaian Target Migrasi Pelanggan Prabayar Pada PLN UP3 Tanjung Karang." SINOMIKA Journal: Publikasi Ilmiah Bidang Ekonomi dan Akuntansi 1, no. 3 (2022): 219–28. http://dx.doi.org/10.54443/sinomika.v1i3.241.

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Prepaid electricity or smart electricity is a service for using electrical energy by means of pln customers paying the initial fee to obtain electrical energy for use or using a token system, so that customers do not need to deal with the monthly electricity bill payment schedule and can make it easier for customers to control electricity usage and Prepaid electricity is also expected to be able to reduce late payments or what can be called arrears. The aim of the researchers in this study is to analyze and find out what strategies are appropriate in an effort to achieve the migration target o

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KINGSAKDA, VONGKEO, and Saythala SAYBOUNHEUANG. "Factors Affecting for Using Services of Mobile Phone Network for Customer of the Lao Telecommunications Company, Oudomxay Province." Souphanouvong University Journal Multidisciplinary Research and Development 10, no. 4 (2024): 56–64. http://dx.doi.org/10.69692/sujmrd100456.

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The purpose of this study was1) to study the situationof customers using mobile phone network services of Lao Telecommunications Company, 2) to studythe significantbetween customers andthe mobile network of Lao Telecommunications Company, 3) to findout the factors affecting customer's loyalty to the mobile phone network service of Lao Telecommunication Public Company.It was a quantitative research with the target group being customers who use the service through the mobile phone network of customers of Lao Telecommunications Company in Uodomxay province, used402 sample group and questionnaires

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Rogić, Sunčica, and Ljiljana Kašćelan. "Segmentation Approach for Athleisure and Performance Sport Retailers Based on Data Mining Techniques." International Journal of E-Services and Mobile Applications 13, no. 3 (2021): 71–85. http://dx.doi.org/10.4018/ijesma.2021070104.

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This paper seeks to compare certain customer segments from two sport footwear, apparel, and equipment retailers and to examine an objective market segmentation method, based on the recency, frequency, monetary (RFM) and the decision tree (DT) models. The case study is based on two data sets, aiming to compare the different customer segments, both from sport retail industry, and represents an application of data mining techniques in a business environment. The customer segmentation enables the customer selection for the future direct marketing campaigns based on the previous purchasing behavior

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Wibowo, Amira Luthfiyya. "Exploring Santoon's Customers' Preferences That Affect Their Purchase Decision For Buying Fashion Products." Journal of Consumer Studies and Applied Marketing 2, no. 2 (2024): 139–45. http://dx.doi.org/10.58229/jcsam.v2i2.247.

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There is a significant shift towards online shopping in the digital era, particularly within the fashion industry. Despite this trend, Santoon, a clothing brand in Indonesia, faces challenges with online sales being considerably lower than offline sales, even though many of its customers and target market prefer purchasing fashion products online. This study aims to identify the preferences of Santoon's customers that impact their decision-making process when buying fashion products. Adopting a qualitative approach, the research utilizes semi-structured interviews to gather in-depth insights.

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Babu, Gali Venkata Durga Ayyappa, and M. Durga Sathish. "E-Commerce Customer Segmentation Using Machine Learning." International Journal for Research in Applied Science and Engineering Technology 10, no. 9 (2022): 1275–77. http://dx.doi.org/10.22214/ijraset.2022.46772.

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Abstract: Splitting a client base into groups about people certain are similar in particular areas, such as age, gender, interests, & spending patterns as well as technique about grouping consumers about a corporation into categories certain demonstrate commonality among customers in each category. In order to optimise each customer's worth to business, segmenting clients is done in order to select how to interact among them. Client segmentation belongs to the specific strategy used by businesses to target particular, smaller groups about customers among appropriate messages certain would

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Slack, Neale J., and Gurmeet Singh. "The effect of service quality on customer satisfaction and loyalty and the mediating role of customer satisfaction." TQM Journal 32, no. 3 (2020): 543–58. http://dx.doi.org/10.1108/tqm-07-2019-0187.

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PurposeThe purpose of this study is to determine the effect of service quality on customer satisfaction and loyalty and the mediating role of customer satisfaction in the supermarket sector.Design/methodology/approachIn total, 480 supermarket customers participated in an intercept survey in four urban centres of Fiji. Descriptive statistics were used to determine the level of service quality provided by supermarkets, and inferential statistics to determine the gap between customer's service quality expectations and perceptions and to test the research hypotheses.FindingsThe findings indicate s

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Pribadi, Karenina Gracia. "Raising CV. Petra Kharisma Abadi’s Brand Awareness to Its Target Market Using A New Logo, Brand Name, and Slogan." K@ta Kita 10, no. 2 (2022): 299–305. http://dx.doi.org/10.9744/katakita.10.2.299-305.

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CV. Petra Kharisma Abadi, now PeKA, is a company that makes and sells food-boxes in Magelang and Kedu areas. The customers are mainly from Magelang, 60% females 40% males, aged between 25 - 55 years. The main problem that I have found from the customer survey is lack of brand awareness, because the target customers cannot recognize the name of the company and its’ product. From the customer survey, I found that the solutions are making a new brand name, logo, and slogan. Besides, the company must highlight the USPs (durability, beauty, and low price). I used theories that focus on my main subj

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Guliyev, Hasraddin, and Ferda Yerdelen Tatoğlu. "Customer churn analysis in banking sector: Evidence from explainable machine learning models." Journal of Applied Microeconometrics 1, no. 2 (2021): 85–99. http://dx.doi.org/10.53753/jame.1.2.03.

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Although large companies try to gain new customers, they also want to retain their old customers. Therefore, customer churn analysis is important for identifying old customers without loss and developing new products and making new strategic decisions for retaining customers. This study focuses on the customer churn analysis, that is a significant topic in banks customer relationship management. Identifying customer churn in banks will helps the management to classification who are likely to churn early and target customers using promotions, as well as provide insight into which factors should

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Medimagh, Safa, and Abdelfattah Triki. "The PPP performance based on the co-creation with customers." Built Environment Project and Asset Management 9, no. 5 (2019): 642–54. http://dx.doi.org/10.1108/bepam-01-2018-0014.

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Purpose The purpose of this paper is to enlighten the position of the customer as a driver to achieve the public–private partnership’s performance. It demonstrates that the customer exceeds being a target. Design/methodology/approach The paper is a literature review on the value for money, the performance prism in the PPP context, the service quality, the customer experience as well as the co-creation. Findings The PPP success goes through the end-users’ satisfaction regarding their experience quality. The improvement of the customer experience goes through the co-creation, conceding so to the

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Li, Zhichong. "Research on sales strategy of electric vehicle target customers based on machine learning algorithm." Highlights in Science, Engineering and Technology 22 (December 7, 2022): 270–78. http://dx.doi.org/10.54097/hset.v22i.3388.

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Due to the influence of various subjective and objective factors, there is great uncertainty in consumers' willingness to purchase new energy vehicles. In this study, it is hoped that based on customer satisfaction and personal characteristic information, the main factors affecting whether the target customers are willing to purchase new energy vehicles are explored, so that corresponding sales strategies can be formulated. In this study, two different embedding methods based on penalty terms and tree models are used for feature selection, the former using three models LR, LASSO and SVM, and t

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Yuliaty, Tetty, Doli Muhammad Jafar Dalimunthe, and Weni Hawariyuni. "Do The Socio-Economic Status, Religious Attitudeand Customer Perception Impact On Customer Behavior? : Islamic Banking Case." IKONOMIKA 7, no. 2 (2022): 309. https://doi.org/10.24042/febi.v7i2.15827.

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This study aims to investigate customer behavior at Islamic banks,Indonesia. This research was analyzed by using path analysis approach involving 200 respondents as customers at several Islamic banks in Medan, Indonesia. Based on this research show the socio-economic status and religious attitudes have positively and significantly impactto customer behavior. On the other hand, socio-economic status and religious attitude are also positively and significantly impact for customer perceptions. Customer perceptions have the implication to increase positive customer behavior, sharia banking manager

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Meyliana, Meyliana. "Analisa Strategi E-Marketing dan Implementasinya pada Rental Company." Binus Business Review 2, no. 1 (2011): 31. http://dx.doi.org/10.21512/bbr.v2i1.1109.

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Customers are the main key for persistence of a company. The company could arrange old customers and attract new customers, as marketing event. Marketing is one component in customer relationship management. Marketing today has become a trend in doing promotion, increase new customers to expand target market, and maintain old customer loyalty to increase the company sales’ point volume. Supported by appropriate information technology, marketing event could be changed as events that give benefit to the company. Marketing event with information technology, e-marketing, is done to increase compan

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Sengupta, Aditi Sarkar, and Sreejesh S. "Impact of other customers in high and low involvement services." Journal of Indian Business Research 9, no. 1 (2017): 41–58. http://dx.doi.org/10.1108/jibr-08-2015-0088.

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Purpose The purpose of this paper is to examine the effects of other customer perception (OCP) (Brocato et al., 2012) on focal customer’s service quality perception and revisit intention in high- and low-involvement services and the effect of customer’s need for uniqueness (NFU) as a boundary condition of the above relationships. Design/methodology/approach Following a theoretical methodology, hypotheses were developed to analyze the effect of OCP, service involvement and customer’s NFU. A 2 × 2 × 2 scenario-based experiment was designed. Multivariate analysis of variance (MANOVA) was used to

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Ramadina, Risma Restu, Tacbir Hendro Pudjiantoro, and Irma Santikarama. "Sistem Customer Relationship Management (CRM) Menggunakan Metode Asosiasi Algoritma Apriori Untuk Menentukan Rekomendasi Produk." Jurnal ICT : Information Communication & Technology 19, no. 1 (2020): 50–59. http://dx.doi.org/10.36054/jict-ikmi.v19i1.143.

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There are companies in the fashion sector that sell clothing for both women and men at affordable prices and quality. Currently, there are many competitors everywhere, especially in the Cimahi City area. The current SR Fashion Store boutique has a target of increasing the number of customers and retaining existing customers. However, because this fashion company has problems, namely delivery and determining recommendations that are directly in place, resulting in inconvenience for customers who make recommendations that are not in accordance with the tastes of these customers, because the serv

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J., Mohan Raj, and Deventhiran M. "A Study on Consumer Owned Retailing Store Business Model with special reference to Grocery Products in Karaikal Region." RESEARCH REVIEW International Journal of Multidisciplinary 4, no. 2 (2019): 529–31. https://doi.org/10.5281/zenodo.2580238.

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Since consumer cooperative stores play important roles in economic development of a country in post independent period. They fulfill the customer’s needs and wants and they can buy the product at affordable price and profit sharing among the members. After GST implementation the low class and middle class families face difficulties in purchasing of goods and services. As a result it will ultimately affect people’s standard of living, purchases and reduce the consumption of goods and services. Recent trends in the retailing industry cooperative stores have a market potential and ben

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Nanda, Prof Shashi, Dr Romita Popli, and Dr Reema Dehal. "Digital Marketing: Acomprehensive Performance Strategy." International Journal of Advances in Engineering and Management 7, no. 2 (2025): 523–29. https://doi.org/10.35629/5252-0702523529.

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This is an era of digitalization where information technology has become a medium for every activity executed, the marketing field is no exception. Customers' increased usage of digital platforms has created newer opportunities for marketers to reach them. An understanding of what motivates a customer to make a decision is crucially important as it offers a deeper deliberation on the part of the marketer. This paper attempts to clearly understand the concept of digital marketing in the light of a young and techno-savvy target audience. The researcher attempts to gain deeper insights into the o

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Terziev, Venelin, Vanya Banabakova, and Marin Georgiev. "Effective Options for Determining Customer Profitability." International conference KNOWLEDGE-BASED ORGANIZATION 24, no. 2 (2018): 123–28. http://dx.doi.org/10.1515/kbo-2018-0076.

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Abstract Marketing is an art to attract and retain customers, but not to any but profitable customers. Unfortunately, organizations often understand that 20 to 40 percent of their customers are unprofitable. Also, many organizations report the fact that their most profitable customers are not the ones who buy the most, but the average shoppers. Major customers require special service and get the biggest discounts, thus reducing the company's profits. The smallest customers pay the full price and get a minimum of service, but the expenses connected with the deals reduces the profitability they

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Ahsain, Sara, Yasyn Elyusufi, and M'hamed Ait Kbir. "Product reviews analysis to extract sentimental insights with class confidence rate using self-organizing map neural network." International Journal of Electrical and Computer Engineering (IJECE) 15, no. 1 (2025): 980. http://dx.doi.org/10.11591/ijece.v15i1.pp980-994.

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Customer data analysis helps companies to understand customer intentions and behaviors better. This study introduces an analysis of product reviews to help managers adopt a more efficient strategy to extract valuable knowledge and help detect segment of customers that need a special attention and products that need improvement or with the most impact. The used dataset is a set of Amazon reviews divided into multiple categories; each review has a target column called ‘overall’ that takes a value between 1 and 5 (customer's satisfaction). Based on the ‘overall’ column, multiple labeling methods

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Łodziana-Grabowska, Joanna. "SIGNIFICANCE OF DATABASE MARKETING IN THE PROCESS OF TARGET SEGMENTS IDENTIFICATION AND SERVICE." Problems of Management in the 21st Century 6, no. 1 (2013): 40–47. http://dx.doi.org/10.33225/pmc/13.06.40.

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The study aims at presenting the position and role of marketing databases in the enterprise’s market operations and achievement of sales targets. The study identifies the following elements pertaining to the discussed issue: essence and parts of the database marketing, significance of the database marketing in the process of target segments service, database and customer relationship management as well as the problem of the customers’ privacy in relation to their data being used and processed by market entities. It should be emphasized that the informational systems constitute the basic elemen

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Mallika, Dr R. M., Goli Madhuri, P.M.Lokesh, B. Pavan Kalyan, D. Mahesh Babu, and P.Neelakumar. "Customer-Based Market Segmentation in E-Commerce Using Hybrid Clustering." International Research Journal of Innovations in Engineering and Technology 09, Special Issue ICCIS (2025): 17–24. https://doi.org/10.47001/irjiet/2025.iccis-202503.

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Abstract - Utilizing predictive modeling and data mining, this study develops market and customer segments for effective marketing strategies. Market segmentation recognizes that customers have different interests, buying habits, and preferences. By creating specialized strategies for specific target groups, a company can enhance its resource management and sales. Customer segmentation involves clustering individuals with similar characteristics and behaviors, enhancing understanding of customers' demographics and dynamic behavior.

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Idha Rizqi Pratiwi, Sumanto Sumanto, and Hartono Hartono. "The Effects of Service Quality and Customer Relationship Management on Customers' Loyalty at ICTel." International Journal of Education, Vocational and Social Science 3, no. 04 (2024): 66–79. https://doi.org/10.63922/ijevss.v3i04.1238.

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The rapid development of information and communication technology has significantly impacted various sectors, including the industrial sector. But, PT Infrastruktur Cakrawala Telekomunikasi (ICTel) faces challenges in increase and achieving 100% usage among tenants. In fact, this target must be achieved in 2025. This study investigates the effects of service quality and customer relationship management (CRM) on customers’ loyalty at PT Infrastruktur Cakrawala Telekomunikasi (ICTel). The research employs a quantitative methodology, utilizing surveys to collect data from ICTel customers in Kenda

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Chang, Lan-Yun, and Weining Liu. "Sensation seeking and customer perceptions of thematic entertainment: Evidence from theme motels in Taiwan." Social Behavior and Personality: an international journal 37, no. 6 (2009): 753–65. http://dx.doi.org/10.2224/sbp.2009.37.6.753.

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This case study of theme motels in Taiwan involved examining sensation-seeking tendencies and themed-entertainment preferences in potential theme motel customers. Using sensation seeking as a market segmentation variable, cluster analysis was performed to identify different customer groups. The proposed hypotheses were then tested by ANOVA and Scheffe tests. Analytical results indicated that the target customers of such motels are characterized by "boredom susceptibility" while potential customers could be those who are characterized by "thrill and adventure seeking". Appropriate strategies fo

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M, Saritha, Manoj B R, Neola Sendril Dias, Nisha Joshal Pinto, and Padma Prasad H M. "Segmentation of Mall Customers Using RFM Analysis and K-Means Algorithm." Journal of Data Mining and Management 7, no. 2 (2022): 38–43. http://dx.doi.org/10.46610/jodmm.2022.v78i02.006.

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Customer Segmentation is the technique of separating customers into different clusters based on their specific characteristics. Segmenting customers is very essential in every business sector because each individual is different from one another and has distinct interests. But with the help of machine learning techniques, the data can be sorted to find the target group by applying algorithms to the dataset. Based on Recency, frequency and monetary (RFM) value customers purchasing behavior is segmented and the scope of this project is to divide customers based on different groups like loyal, ne

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M, Saritha, Manoj B R, Neola Sendril Dias, Nisha Joshal Pinto, and Padma Prasad H M. "Segmentation of Mall Customers Using RFM Analysis and K-Means Algorithm." Journal of Data Mining and Management 7, no. 2 (2022): 38–43. http://dx.doi.org/10.46610/jodmm.2022.v07i02.006.

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Customer Segmentation is the technique of separating customers into different clusters based on their specific characteristics. Segmenting customers is very essential in every business sector because each individual is different from one another and has distinct interests. But with the help of machine learning techniques, the data can be sorted to find the target group by applying algorithms to the dataset. Based on Recency, frequency and monetary (RFM) value customers purchasing behavior is segmented and the scope of this project is to divide customers based on different groups like loyal, ne

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Chen, Yuh-Jen, Yuh-Min Chen, and Chien-Wei Fu. "Identifying Desirable Product Specifications from Target Customers’ Chinese eWOM." International Journal of Information Technology & Decision Making 16, no. 02 (2017): 545–72. http://dx.doi.org/10.1142/s0219622017500109.

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In a fiercely competitive business environment, understanding target customers’ product preferences and demands has become the basis for improving competitive advantage. In the past, an enterprise would understand its consumers’ preferences and demands through interactions between salespersons and consumers or questionnaire surveys. As Internet technology and the popularity of virtual communities have grown, more consumers are commenting about products on the Internet, enabling enterprises to understand more objectively consumers’ preferences and demands. Therefore, the extraction and analysis

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Wei, Ying. "Telco Customer Churn Prediction." Highlights in Science, Engineering and Technology 92 (April 10, 2024): 218–26. http://dx.doi.org/10.54097/84bmrd32.

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In recognizing the significance of retaining current consumers to thrive in this competitive landscape, this paper aims to predict customers' churn probability based on the background and behaviors of previous customers. The paper utilizes churn probability as a proactive means to identify customers at a high risk of leaving, serving as a reference for Telco to make informed decisions and take actions aimed at enhancing customer loyalty. This paper pre-target customers who have a high risk of leaving based on our churn probability with at least over 80% accuracy rate. And then use the churn pr

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Shin, Dooyoung, Jon Kalinowski, Sung Kim, and In-Jae Kim. "Maximizing The Impact Of Improvement Efforts On Customer Satisfaction." Journal of Applied Business Research (JABR) 31, no. 3 (2015): 1005. http://dx.doi.org/10.19030/jabr.v31i3.9231.

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When a customer satisfaction survey consists of a large number of attributes (questionnaire items), determination of critical attributes that would make the biggest impact on customers overall satisfaction could be important, but very tedious and time-consuming process. Even though the critical attributes are identified, the improvement efforts toward these attributes are often misdirected and wasted because of the mismatch between the improvement efforts and the critical needs of the affected customer group. This paper introduces a method with which improvement efforts can be tailored to the

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Ahsain, Sara, Yasyn Elyusufi, and M'hamed Ait Kbir. "Product reviews analysis to extract sentimental insights with class confidence rate using self-organizing map neural network." International Journal of Electrical and Computer Engineering (IJECE) 15, no. 1 (2025): 980–94. https://doi.org/10.11591/ijece.v15i1.pp980-994.

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Customer data analysis helps companies to understand customer intentions and behaviors better. This study introduces an analysis of product reviews to help managers adopt a more efficient strategy to extract valuable knowledge and help detect segment of customers that need a special attention and products that need improvement or with the most impact. The used dataset is a set of Amazon reviews divided into multiple categories; each review has a target column called ‘overall’ that takes a value between 1 and 5 (customer's satisfaction). Based on t

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Aqham, Ahmad Ashifuddin, and Kristoko Dwi Hartomo. "Data Mining untuk Nasabah Bank Telemarketing Menggunakan kombinasi Algoritm Naïve Bayes Dan Algoritma Genetik." InfoTekJar (Jurnal Nasional Informatika dan Teknologi Jaringan) 4, no. 1 (2019): 47–56. http://dx.doi.org/10.30743/infotekjar.v4i1.1574.

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The strategy used for telemarketing by conducting promotional media, this strategy is a marketing method used by banks, in offering products to customers, banks, one of the products that will be offered is time deposits, the bank has difficulty in knowing the obstacles experienced by customers in making a decision to make deposits against the bank, so that later it will have the effect of a financial crisis at the bank. Telemarketing banks must have targets for customers, where customers have the potential to join one of the bank's products, namely deposits by looking at existing customer data

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