{"id":210,"date":"2021-11-13T13:21:17","date_gmt":"2021-11-13T10:21:17","guid":{"rendered":"https:\/\/quecst.qcri.org\/blog\/?p=210"},"modified":"2021-11-14T16:14:10","modified_gmt":"2021-11-14T13:14:10","slug":"customer-segmentation-and-strategy-development-based-on-customer-lifetime-value-a-case-study-summary","status":"publish","type":"post","link":"https:\/\/acua.qcri.org\/blog\/customer-segmentation-and-strategy-development-based-on-customer-lifetime-value-a-case-study-summary\/","title":{"rendered":"Customer Segmentation and Strategy Development Based on Customer Lifetime Value: A Case Study \u2014 Summary"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">In this article we will be reviewing a research paper titled: <strong>Customer segmentation and strategy development based on customer lifetime value<\/strong>; published by Elsevier in the year 2006. The authors have presented an approach for evaluating customer value and segmenting customers into segments on the basis of their value.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Following the segmentation of consumers on the basis of their value, a case study on a wireless telecommunication company is used to demonstrate how to construct approaches based on customer segment.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The research paper was written by Su-Yeon Kim, Tae-Soo Jung, Eui-Ho Suh, and Hyun-Seok Hwang with Hwang being the corresponding author. They belonged to Daegu University, Samsung Economic Research Institute (Department of Management Strategy), POSTECH (Department of Industrial Engineering), and the Department of Business Administration in Hallym University, South Korea, respectively at the time of conducting this research.<\/span><\/p>\n<h3><b>The Methods Employed<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">The goal of this study was to provide a new <strong>LifeTime Value<\/strong> (LTV) model and customer segmentation approach that takes customer defection and cross-selling opportunities into account. Following the division of the customer base, the authors also recommended several marketing techniques.<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><strong>Customer Lifetime Value<\/strong> (CLV) is a marketing measure that estimates a customer&#8217;s worth over the course of their engagement with a firm. It is the current market worth of a single buyer&#8217;s expected future revenues. It is also known as lifetime customer value or simply lifetime value, and it is shortened as CLV, LCV, or LTV.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">CLV-based optimization aims to increase profitability by monitoring customer behavior and economic cycles to determine and target consumers with the highest potential net value over the years (Ramachandran, 2006).\u00a0<\/span><span style=\"font-weight: 400;\">A valuable client is one that generates an income stream that surpasses the budget of acquiring, marketing, and maintaining that customer throughout time by an appropriate margin.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Customer satisfaction is the most common statistic used by businesses to identify and manage the possibility of consumers defecting. Although contentment and defection are linked, satisfaction is not a sufficient determinant of consumer defection (Capraro et al., 2003).<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Cross-selling has been highlighted as a successful relationship marketing technique with the goal of retaining customers. High-frequency cross-sellers report receiving much more cross-selling benefits from their businesses, and a higher dedication to cross-selling within their working group.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Additionally, a deeper understanding and self-efficacy in respective cross-selling roles is achieved. The findings have ramifications for sales staff who are involved in cross-selling strategies (Jim Zboja, 2012).<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The following is a breakdown of the research paper&#8217;s structure.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">The second section examines prior research on consumer segmentation based on value.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">A conceptual framework is presented in Section 3.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">In Section 4, a calculation model for calculating customer value is proposed for use by a cellular telecommunications provider. Following that, the authors applied real data from a wireless provider to the model and conducted customer segmentation based on the resulting customer value.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Section 5 creates marketing techniques derived from the findings of the customer research.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">In section 6, the authors conclude their work with a suggestion for future exploration.<\/span><\/li>\n<\/ul>\n<h3><b>The Need for a Solution<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Because customer satisfaction has become more important in modern organizations, many companies are focused on customer loyalty and revenue as a means of growing market share and customer delight.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Customer relationship management (CRM) refers to a collection of procedures that businesses use to keep and grow their client base (Hassan &amp; Bin-Nashwan, 2017).<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Customers&#8217; happiness with companies and organizations has increased significantly as a result of CRM&#8217;s advantages. Personalized services, attentiveness to client requests, customer segmentation, marketing modification, multichannel integration, time savings, and improved customer understanding are some of the advantages stated &#8212; that would boost customer happiness and marketing performance greatly.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Furthermore, all of the advantages discovered, apart from time savings, lead to higher customer satisfaction (Mohammadhossein &amp; Ahmad, 2018).<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Several businesses are already attempting to evaluate and apply customer value in their strategy formulation to enhance customer revenue potential.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The proposed solution to the research problem:<\/span><\/p>\n<p><span style=\"font-weight: 400;\">To analyze customer defection in their study, the researchers used three dimensions:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">\u00a0<\/span><span style=\"font-weight: 400;\">Current value<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">\u00a0<\/span><span style=\"font-weight: 400;\">Potential value<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">\u00a0Customer loyalty<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">The current value will become a metric of previous profitability for customers, the potential value will become a measurement of new sales opportunities, and customer loyalty can be a metric of retaining customers. They used the values to conduct customer segmentation after computing these three customer values.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Three steps make up a foundation for designing managerial methods and approaches based on customer value, as depicted by Figure 1.<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-214 size-full\" src=\"https:\/\/quecst.qcri.org\/blog\/wp-content\/uploads\/2021\/11\/image4.png\" alt=\"\" width=\"968\" height=\"471\" srcset=\"https:\/\/acua.qcri.org\/blog\/wp-content\/uploads\/2021\/11\/image4.png 968w, https:\/\/acua.qcri.org\/blog\/wp-content\/uploads\/2021\/11\/image4-300x146.png 300w, https:\/\/acua.qcri.org\/blog\/wp-content\/uploads\/2021\/11\/image4-768x374.png 768w\" sizes=\"(max-width: 968px) 100vw, 968px\" \/><\/span><\/p>\n<p style=\"text-align: center;\"><i><span style=\"font-weight: 400;\">Figure 1: Framework for customer segmentation based on LifeTime Value (LTV) Model<\/span><\/i><\/p>\n<p><span style=\"font-weight: 400;\">Phase 1 describes the procedures that must be taken before identifying the consumer value and developing a marketing strategy. The authors assessed client value from three perspectives in phase II, which are current value, potential value, and customer loyalty.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">A segmentation testing is carried based on the segmentation data after fragmenting the client base with three perspectives. Phase III examines every segment&#8217;s features in terms of current value, potential value, and customer loyalty, and the article explains how to develop strategies related to three customer values.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In this study, they determined the actual value as the average amount of service fee required to pay for a client minus the average charge for a consumer, using a computation period of six months:<\/span><\/p>\n<blockquote><p><span style=\"font-weight: 400;\">Current Value = (Average amount asked to pay for a customer &#8211; Cumulative amount in arrears for the customer\/total period of use)<\/span><\/p><\/blockquote>\n<p><span style=\"font-weight: 400;\">Customers&#8217; potential value is defined as the estimated revenues that can be generated from a specific customer when that customer employs a wireless communication company&#8217;s additional features.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Customer loyalty can be defined as the percentage of customers that want to stay with the organization (Figure 2).<\/span><\/p>\n<blockquote><p><span style=\"font-weight: 400;\">Customer Loyalty = 1-Churn rate<\/span><\/p><\/blockquote>\n<p style=\"text-align: center;\"><span style=\"font-weight: 400;\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-217 size-full\" src=\"https:\/\/quecst.qcri.org\/blog\/wp-content\/uploads\/2021\/11\/image7.png\" alt=\"\" width=\"495\" height=\"260\" srcset=\"https:\/\/acua.qcri.org\/blog\/wp-content\/uploads\/2021\/11\/image7.png 495w, https:\/\/acua.qcri.org\/blog\/wp-content\/uploads\/2021\/11\/image7-300x158.png 300w\" sizes=\"(max-width: 495px) 100vw, 495px\" \/><\/span><\/p>\n<p style=\"text-align: center;\"><i><span style=\"font-weight: 400;\">Figure 2: Calculation of individual Churn Rate<\/span><\/i><\/p>\n<h3><b>Presentation of Data Acquired:<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Calculation of customer value by splitting it into three categories: current value, projected value, and customer loyalty are no doubt very helpful. The results of the findings can be very easily noticed by looking at the dispersion of clients by displaying the whole customer base in three-dimensional geometry.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Current Value, Potential Value, and Customer Loyalty are represented in each dimension. The outcome of customer segmentation is shown in Figure 3 (Figure 6 in the original research article). Initially, the components of the three axes were dissimilar.<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-213 size-full\" src=\"https:\/\/quecst.qcri.org\/blog\/wp-content\/uploads\/2021\/11\/image3.png\" alt=\"\" width=\"472\" height=\"410\" srcset=\"https:\/\/acua.qcri.org\/blog\/wp-content\/uploads\/2021\/11\/image3.png 472w, https:\/\/acua.qcri.org\/blog\/wp-content\/uploads\/2021\/11\/image3-300x261.png 300w\" sizes=\"(max-width: 472px) 100vw, 472px\" \/><\/span><\/p>\n<p style=\"text-align: center;\"><i><span style=\"font-weight: 400;\">Figure 3: Three-dimensional representation of Customer segmentation<\/span><\/i><\/p>\n<p><span style=\"font-weight: 400;\">As a result, the grade is converted to a real number between 0 and 1. Many consumers are positioned in the upper portion of the cube, as illustrated in Figure 3, indicating that they have a higher level of customer loyalty.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Almost thirty percent of clients are dispersed throughout the area of the cube, with reduced customer loyalty (&lt;0.5). Depending on client loyalty, it was established that the consumer base can be divided into two kinds.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Customers with a loyalty score greater than 0.5 have extremely strong customer loyalty, while the others are scattered around the cube. It was also agreed upon that in order to study the high customer loyalty sector properly, more advanced data extraction is necessary.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The authors did not select a particular part but evaluated a segment based on each of the three customer-value classifications because it is hard to determine which of the three customer values directly leads to that state where a consumer will have these positive features.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">It will show what adjustments in the marketing plan should be implemented to convert individuals in each category into more valued clients after conducting an assessment of each customer that obtains a top score in prospective value, existing value, and poor score in customers \u2019 loyalty.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Consumers in each section were divided into two subcategories for this assessment: one for customers with a low rating in the field, and another for customers with a high score in the area.<\/span><\/p>\n<p><b>Customer attributes associated with low customer loyalty:<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Customers with no membership, a minimum consumption period of fewer than 1.5 years, and a non-loyal payment schedule have a low level of customer loyalty. Customers that do not pay a membership fee, have a minimum usage period of more than 1.5 years, or utilize special phone equipment have poor customer loyalty (Figure 4).<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-216 size-full\" src=\"https:\/\/quecst.qcri.org\/blog\/wp-content\/uploads\/2021\/11\/image6.png\" alt=\"\" width=\"519\" height=\"133\" srcset=\"https:\/\/acua.qcri.org\/blog\/wp-content\/uploads\/2021\/11\/image6.png 519w, https:\/\/acua.qcri.org\/blog\/wp-content\/uploads\/2021\/11\/image6-300x77.png 300w\" sizes=\"(max-width: 519px) 100vw, 519px\" \/><\/span><\/p>\n<p style=\"text-align: center;\"><i><span style=\"font-weight: 400;\">Figure 4: Characteristics attributed to customers in low customer loyalty<\/span><\/i><\/p>\n<p>&nbsp;<\/p>\n<p><b>Customer attributes in the high current value:<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Customers who do not switch charge plans are significantly more likely to have chosen an inappropriate charge plan for particular consumption patterns and to have not taken advantage of cost savings offered by other plans (Figure 5).<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-215 size-full\" src=\"https:\/\/quecst.qcri.org\/blog\/wp-content\/uploads\/2021\/11\/image5.png\" alt=\"\" width=\"523\" height=\"90\" srcset=\"https:\/\/acua.qcri.org\/blog\/wp-content\/uploads\/2021\/11\/image5.png 523w, https:\/\/acua.qcri.org\/blog\/wp-content\/uploads\/2021\/11\/image5-300x52.png 300w\" sizes=\"(max-width: 523px) 100vw, 523px\" \/><\/span><\/p>\n<p style=\"text-align: center;\"><i><span style=\"font-weight: 400;\">Figure 5: Characteristics attributed to the customer in high current value<\/span><\/i><\/p>\n<p><b>Customer attributes with a high potential value:<\/b><\/p>\n<p><span style=\"font-weight: 400;\">The most crucial parameters in the Potential Value analysis were the age of consumers and the sorts of phone devices. When examining the assumption that potential value is described as the value earned later by giving additional services to clients, this finding appears obvious (Figure 6).<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-211 size-full\" src=\"https:\/\/quecst.qcri.org\/blog\/wp-content\/uploads\/2021\/11\/image1.png\" alt=\"\" width=\"526\" height=\"140\" srcset=\"https:\/\/acua.qcri.org\/blog\/wp-content\/uploads\/2021\/11\/image1.png 526w, https:\/\/acua.qcri.org\/blog\/wp-content\/uploads\/2021\/11\/image1-300x80.png 300w\" sizes=\"(max-width: 526px) 100vw, 526px\" \/><\/span><\/p>\n<p style=\"text-align: center;\"><i><span style=\"font-weight: 400;\">Figure 6: Characteristics attributed to customers in high potential loyalty<\/span><\/i><\/p>\n<p><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The Decision Tree&#8217;s results can help a business plan marketing approach, establish a marketing strategy for every sector, as well as offer useful information for understanding the big vision of future marketing techniques (Figure 7).<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-212 size-full\" src=\"https:\/\/quecst.qcri.org\/blog\/wp-content\/uploads\/2021\/11\/image2.png\" alt=\"\" width=\"996\" height=\"534\" srcset=\"https:\/\/acua.qcri.org\/blog\/wp-content\/uploads\/2021\/11\/image2.png 996w, https:\/\/acua.qcri.org\/blog\/wp-content\/uploads\/2021\/11\/image2-300x161.png 300w, https:\/\/acua.qcri.org\/blog\/wp-content\/uploads\/2021\/11\/image2-768x412.png 768w\" sizes=\"(max-width: 996px) 100vw, 996px\" \/><\/span><\/p>\n<p style=\"text-align: center;\"><i><span style=\"font-weight: 400;\">Figure 7: Decision Tree result<\/span><\/i><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Consumer loyalty is low when a customer does not pay the membership fee. This implies that paying a membership fee is an excellent approach to encourage clients to stick with their present service provider.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Offering free additional services and phone bill discounts can entice loyal consumers into believing that it is in their best interests to remain their present service provider.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">To keep clients with high present value and a high likelihood of switching to another provider, a corporation should offer a credit-rebating sale or an upgrade option.<\/span><\/li>\n<\/ul>\n<h3><b>Significance for Future Work<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">As time is passing and more advanced research is being conducted, it is quite evident that companies are now recognizing the importance of a customer value drive marketing strategy. The need to achieve customer satisfaction is motivating businesses in today\u2019s world to concentrate their efforts towards achieving a loyal customer base and a higher profitability rate.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Creating an effective CRM for a company begins with determining genuine worth and customer loyalty.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The approach mentioned can also be utilized to segment customer bases. With a little more balanced approach, three angles on customer value help marketing professionals in finding consumer segmentation.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">It is feasible to design refined plans for every segment by evaluating the features of divided customer groups. It was anticipated that this research will lead to more developments in terms of proving the practicality of the LTV model and the created techniques by evaluating the results of implementing the techniques.<\/span><\/p>\n<p><b>References<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><i><span style=\"font-weight: 400;\">Capraro, A. J., Broniarczyk, S., &amp; Srivastava, R. K. (2003, April 01). Factors Influencing the Likelihood of Customer Defection: The Role of Consumer Knowledge. Sage Journals.<\/span><\/i><\/li>\n<\/ul>\n<ul>\n<li style=\"font-weight: 400;\"><i><span style=\"font-weight: 400;\">Hassan, H., &amp; Bin-Nashwan, S. A. (2017, March). Impact of customer relationship management (CRM) on customer satisfaction and loyalty: A systematic review. ResearchGate. https:\/\/www.researchgate.net\/publication\/318206357_Impact_of_customer_relationship_management_CRM_on_customer_satisfaction_and_loyalty_A_systematic_review<\/span><\/i><\/li>\n<\/ul>\n<ul>\n<li style=\"font-weight: 400;\"><i><span style=\"font-weight: 400;\">Kim, S.-Y., Jung, T.-S., Suh, E.-H., &amp; Hwang, H.-S. (2006). Customer segmentation and strategy development based on customer lifetime value: A case study. Science Direct. https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0957417405001934#!<\/span><\/i><\/li>\n<\/ul>\n<ul>\n<li style=\"font-weight: 400;\"><i><span style=\"font-weight: 400;\">Mohammadhossein, N., &amp; Ahmad, M. N. (2018, January). Benefits of Customer Relationship Management on Customer Satisfaction: An Empirical Study. ResearchGate. https:\/\/www.researchgate.net\/publication\/323245869_Benefits_of_Customer_Relationship_Management_on_Customer_Satisfaction_An_Empirical_Study<\/span><\/i><\/li>\n<\/ul>\n<ul>\n<li style=\"font-weight: 400;\"><i><span style=\"font-weight: 400;\">Ramachandran, R. (2006, February). Customer Lifetime Value. ResearchGate. https:\/\/www.researchgate.net\/publication\/228302768_Customer_Lifetime_Value<\/span><\/i><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In this article we will be reviewing a research paper titled: Customer segmentation and strategy development based on customer lifetime value; published by Elsevier in the year 2006. The authors have presented an approach for evaluating customer value and segmenting customers into segments on the basis of their value. Following the segmentation of consumers on&hellip; <a class=\"more-link\" href=\"https:\/\/acua.qcri.org\/blog\/customer-segmentation-and-strategy-development-based-on-customer-lifetime-value-a-case-study-summary\/\">Continue reading <span class=\"screen-reader-text\">Customer Segmentation and Strategy Development Based on Customer Lifetime Value: A Case Study \u2014 Summary<\/span><\/a><\/p>\n","protected":false},"author":5,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[33,21],"tags":[40,24],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v19.13 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Customer Segmentation and Strategy Development Based on Customer Lifetime Value: A Case Study \u2014 Summary - Team Acua<\/title>\n<meta name=\"description\" content=\"In this article we will be reviewing a research paper titled: \u2018Customer segmentation and strategy development based on customer lifetime value\u2019; published by Elsevier in the year 2006. 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