• Title/Summary/Keyword: market segmentation strategy

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Aim at a Target Market of Small Groups The Case of the Brand 'Lonchel' Targeting Top Premiere Interior Market (소수의 표적시장을 선택하라: 최상위 프리미엄 인테리어 시장 지향 L사의 '론첼' 브랜드 사례)

  • Lee, Jaejin;Lee, Sung-Jun
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.18 no.3
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    • pp.97-110
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    • 2022
  • The case study looks into the case of the "extreme" market segmentation strategy of company L with its top luxury windows and door brand "Lonchel". Company L has long enjoyed a leading position in the Korean windows and doors mass market. However, it went against their already well-established flagship brand and created a completely new one called "Lonchel", pursuing an extreme market segmentation strategy focusing on the small niche market of highest-income customers exclusively. The strategy has turned out to be successful and the company has gained long-lasting competitive advantages. In this vein this study analyzes the market environment in which the top-tier brand "Lonchel" appeared, the concept of the extreme positioning and the smallest viable market, the characteristics of target customers, the company's analysis of and response to them, and the analysis of products to meet their needs. The brand operation plan and promotion will be also reviewed. Through this, we intend to draw implications related to the extreme positioning strategy that a company may pursue in a target market of small groups of people.

Market Segmentation Strategy for Internet Marketing in Libraries (도서관의 인터넷 마케팅을 위한 시장세분화 전략)

  • 한계문
    • Journal of Korean Library and Information Science Society
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    • v.34 no.1
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    • pp.111-129
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    • 2003
  • These days, libraries are faced with necessity f3r the systems to solve various and heterogeneous customers' needs. It is efficient through market segmentation to understand customers' needs and the use behaviors, to select the target markets, and to establish the proper marketing strategy for them. This study examines the necessity for library marketing, the importation for Internet marketing and the plans for the application, and suggests for plans of strategy for market segmentation In libraries.

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A Case Study on Dynamic STP strategy of The Interior Brand, LX Hausys (인테리어 브랜드의 역동적 시장세분화 전략 : LX하우시스(LXH)의 시장세분화 전략 사례)

  • Lee, Jaejin;Lee, SungJun
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.18 no.1
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    • pp.151-162
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    • 2022
  • LX Hausys, a leading manufacturer of building materials in South Korea is engaging in the interior business where it is critical to balance between the needs of end-users (B2C) and the needs of corporate consumers (B2B) in an effective manner. Therefore, it is utmost important for the company to ensure that customer communication takes place in two directions based on correct market segmentation strategies, which in turn require a deep understanding of current as well as potential consumers. To accomplish this, LX Hausys conducted both quantitative and qualitative studies to establish a market segmentation strategy which is genuinely different from "general" consumer goods market segmentation strategies. As a result, especially since 2018, its brand (LX Z:IN) began to move up to 1st or 2nd place in a variety of brand rankings. This paper aims to look closely into various characteristic aspects of LXH's market segmentation strategy, and also shows how it is implemented in the real world.

Market Segmentation Strategy of Beauty Shop based on Life Style Variable (라이프스타일 변화에 따른 미용업체원 시장세분화 전략)

  • An, Hyun-Soon;Park, Joon
    • Journal of the Korean Society of Fashion and Beauty
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    • v.3 no.1 s.4
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    • pp.20-28
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    • 2005
  • As the size and the diversity of the beauty industry grow, the need for systematic marketing strategy in beauty shop also increases. This study aims at finding 1)how to segment the market of beauty industry based on lifestyle variable and 2)how to set up the corresponding mix strategy on target market. The case of 'B beauty shop' shows that the validity of lifestyle-based segementation model is verified as the shop has posted a drastic financial outcome during last 5 years. In addition, this study implies that the corelation research between lifestyle variables and marketing mix strategy should be included as an important factor in launching a beauty-related business in segmented market.

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Segmentation of the Internet Stock Trading Market Using Self Organizing Map (SOM을 이용한 인터넷 주식거래시장의 시장세분화 전략수립에 관한 연구)

  • 이건창;정남호
    • Journal of the Korean Operations Research and Management Science Society
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    • v.27 no.3
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    • pp.75-92
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    • 2002
  • This paper is concerned with proposing a new market strategy for the segmented markets of the Internet stock trading. Many companies are providing various services for customers. However, the internet stock trading market is glowing rapidly absorbing a wide variety of customers showing different tastes and demographic information, so that it is necessary for us to investigate specific strategy for the segmented markets. General strategy so far in the Internet stock trading market has been to lower transaction fee according to the market trend. As the advent of rapidly enlarging market, however, more specific strategies need to be suggested for the segmented markets. In this respect, this paper applied a self-organizing map (SOM) to 83 questionnaire data collected from the Internet stock trading market in Korea, and obtained meaningful results.

The Service Operation Strategy of Internet Shopping Mall by User Segmentation Market Typology

  • Jeong, Won-Kil
    • Journal of the Korean Data and Information Science Society
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    • v.15 no.1
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    • pp.11-20
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    • 2004
  • The purpose of this paper was to reveal Service Operation Strategy for the Internet shopping mall based on the types of internet users' market segmentation focus on the internet shopping behavior and e-service quality. In this paper, we examined internet shopping behavior and internet service quality factor depend on the types of internet users' group empirically. The empirical study result identifies the main decision factor depend on the types of internet users' group. On the basis of these result, Service Operation Strategy for the internet shopping mall has been suggested.

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Archival Reference Services Based on Market Segmentation (시장세분화 기반의 기록정보서비스에 관한 고찰)

  • Joung, Kyoung-Hee
    • Journal of Korean Library and Information Science Society
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    • v.38 no.3
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    • pp.277-296
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    • 2007
  • This study aims to propose that archives introduce marketing strategies for their archival reference services. Target marketing which is based on market segmentation for customer satisfaction is popular among enterprises in these days. Market segmentation strategy of target marketing need to be used for user centered archival reference services in archives. This study proposed that demographic, geographic, psychographics, and use variables can be used for archival user segmentation. And for the user segmentation, archives should collect data of use and users systematically.

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A Study on the Optimazation of the Hotel Room Rate Pricing Policy (호텔 객실가격정책(客室價格政策)의 합리화(合理化)에 관한 연구(硏究))

  • Han, Seung-Yeop
    • Korean Business Review
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    • v.6
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    • pp.135-152
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    • 1993
  • The optional market segmentation pricing policy for rooms of hotels are investigated under the assumption of a linear demand function, and for four different situations: (1) single price market, (2) optimal segmentation of the unused capacity of a single-price-maeket, (3) optimal segmantation for all rooms, and (4) opimal segmentation for infiltration from higher priced to adjacent lower priced segments. The purpose of tis study is th show that with proper pricing policy, it would be possible to increase profits considerably. Such a profit increase might be achived by market segmentation coupled with product differentiation, where the different market segments are identified, sperated, and in each segment a different price per room is called for. The different prices are determined based on the specific price elasticity typical for each market segment and the relavant costs. The pricing model implied in this study is based on basic economic pricing theory and optimization techniques. While somewhat complex in its mathmatical solution, it can be easily programmed for use by practitioners, avoiding the need to cope with the technical aspects of the solution. In section II-1, the optimal single-market Single-price policy is evaluated. The optimal strategy under the constraint that only the previously unutilized rooms are segmented is analysed in section II-2, while the optimal strategy without this constraint is determined in section II-3. In section II-4, the optimal market-segmentation pricing policy is derived for the case in which market seperation is allowed for all the rooms under the assumption of custtomer infiltration from each market segment to the adjacent lower priced segment Finally, some considerations relating to the practicality of the model as a decision support tool and the requirements for its implementation are discussed in section III.

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A Methodology of Conjoint Segmentation for Internet Shopping Malls Using Customer's Surfing Data (인터넷 쇼핑몰 방문자의 행위 분석을 이용한 컨조인트 시장세분화 방법론에 대한 연구)

  • Lee, Dong-Hoon;Kim, Soung-Hie
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2000.04a
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    • pp.187-196
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    • 2000
  • A lot of Internet shopping malls strive for obtaining a competitive advantage over others in an increasingly tighter electronic marketplace. To this end, understanding customer preference toward products (or services) and administering appropriate marketing strategy is essential for their continuous survival. However, only a few marketing researchers and practicioners focused on this issue, compared with academic and industry efforts devoted to traditional market segmentation. In this paper, we suggest a methodology of conjoint segmentation for electronic shopping malls. Traditional market segmentation methodologies based on customer's profile sometimes fail to utilize abundant information given while navigating around cyber shopping malls. In this methodology, we do not impose information overload to the customer for preference elicitation, but this methodology, we do not impose information overload to the customer for preference elicitation, but capture automatically generated surfing or buying data and analyze them to get useful market segmentation information. The methodology consists of 4-stages: 1) analyzing legacy homepages, 2) data preparation, 3) estimating and interpreting the result, and 4) developing marketing mix. Our methodology was to give useful guidelines for market segmentation to companies working in the electronic marketplace.

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A Study on Geographical Market Segmentation of Island Tourists (섬 관광객의 지리적 시장세분화에 관한 연구)

  • Lee, Jin-Hee
    • The Journal of Fisheries Business Administration
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    • v.49 no.4
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    • pp.53-68
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    • 2018
  • The industrial structure of Chuja Island is mainly occupied by fisheries. Since the fisheries resources have been depleted and the marine environment has been changed, the fishery industry has been hard to survive. It is the time when residents are looking for a breakthrough in the tourism industry. Market segmentation is a valuable tool in the establishment of marketing strategies. Segmentation of tourists by the same desire and motivation is an essential factor in identifying the characteristics of tourists. The research on market segmentation of tourism sector focuses mainly on demographic subdivision, psychological subdivision, and behavioral subdivision, so it is urgent to study geographical market segmentation. The purpose of this study is to present data that can be used to establish a marketing strategy for tourism promotion in Chuja Island by analyzing the tourism activities via subdivision market according to demographic characteristics, tourism behavior characteristics, and tourism motivation after grasping the geographical segment of tourists through empirical analysis. In this study, 285 valid samples were analyzed by frequency analysis, ${\chi}^2$ test, cluster analysis and ANOVA test.