Developing Payout-Loyalty Matrix for Telecom Retailers – A Study on Murshidabad and Nadia Districts

K. Dutta, Mrinal Kanti Das
{"title":"Developing Payout-Loyalty Matrix for Telecom Retailers – A Study on Murshidabad and Nadia Districts","authors":"K. Dutta, Mrinal Kanti Das","doi":"10.2139/ssrn.2752872","DOIUrl":null,"url":null,"abstract":"Retailing is the route of selling consumer goods and/or services to the ultimate consumers for their personal or household consumption through multiple channels of distribution to make revenue. Retail marketing has undergone radical restructuring due to increase in GDP, per capita income, purchasing power of the people. Now-a-days retail industry has become dynamic industry in the world and this industry is contributing to the economic growth of many countries.Telecom retailers are earning substantial amount of commission from telecos owing to the huge monthly subscriber churn rate and the popularity of mobile numbers portability among users. The churn rate is calculated as the number of subscribers who get out of an operator’s network in a month as a percentage of its total subscriber base. Retail stores are the strategic touch points to tie with prospective customers. Indian customers mostly rely upon retailers and prefer personal interaction for advice and understanding offers. So telecom retailers play a pivotal role for the company to expand market share.The present paper is an endeavour to study the different types of telecom retailers considering two dimensions – loyalty and payout. This study will also help companies to formulate strategies for increasing sales revenue and market share. This study is qualitative in nature and the results are based on market survey of 425 telecom retailers selected from different parts of Murshidabad and Nadia districts by using convenience sampling technique. The study has yielded a number of valuable findings, which are of far-reaching.Consequences for policy formulation and decision making by the companies offering telecom services under study. The findings of Payout-Loyalty matrix indicate that there are six categories of telecom retailers in the market and these retailers are named as Inactive retailers, Bull, Gambler, Market maker, Loyal Screamer, Loyal but volatile & perfect profit maker, Brand & Business builders, Loyal Survivor & Savior and Mask Gambler. This Payout-Loyalty Matrix can help in balancing incentive structure so that retailers are not engaged in gambling company’s profitability.","PeriodicalId":344620,"journal":{"name":"Entrepreneurship & Marketing eJournal","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Entrepreneurship & Marketing eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.2752872","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Retailing is the route of selling consumer goods and/or services to the ultimate consumers for their personal or household consumption through multiple channels of distribution to make revenue. Retail marketing has undergone radical restructuring due to increase in GDP, per capita income, purchasing power of the people. Now-a-days retail industry has become dynamic industry in the world and this industry is contributing to the economic growth of many countries.Telecom retailers are earning substantial amount of commission from telecos owing to the huge monthly subscriber churn rate and the popularity of mobile numbers portability among users. The churn rate is calculated as the number of subscribers who get out of an operator’s network in a month as a percentage of its total subscriber base. Retail stores are the strategic touch points to tie with prospective customers. Indian customers mostly rely upon retailers and prefer personal interaction for advice and understanding offers. So telecom retailers play a pivotal role for the company to expand market share.The present paper is an endeavour to study the different types of telecom retailers considering two dimensions – loyalty and payout. This study will also help companies to formulate strategies for increasing sales revenue and market share. This study is qualitative in nature and the results are based on market survey of 425 telecom retailers selected from different parts of Murshidabad and Nadia districts by using convenience sampling technique. The study has yielded a number of valuable findings, which are of far-reaching.Consequences for policy formulation and decision making by the companies offering telecom services under study. The findings of Payout-Loyalty matrix indicate that there are six categories of telecom retailers in the market and these retailers are named as Inactive retailers, Bull, Gambler, Market maker, Loyal Screamer, Loyal but volatile & perfect profit maker, Brand & Business builders, Loyal Survivor & Savior and Mask Gambler. This Payout-Loyalty Matrix can help in balancing incentive structure so that retailers are not engaged in gambling company’s profitability.
电信零售商支付-忠诚矩阵的开发——以Murshidabad和Nadia地区为例
零售是指通过多种分销渠道,向最终消费者销售消费品和/或服务,供其个人或家庭消费,从而获得收入的途径。随着国内生产总值、人均收入、人民购买力的提高,零售营销经历了彻底的重组。当今零售业已成为世界上最具活力的行业,为许多国家的经济增长做出了贡献。电信零售商正从电信运营商那里赚取可观的佣金,因为每月的用户流失率很高,而且手机号码可携性在用户中很受欢迎。流失率是指一个月内离开运营商网络的用户数量占其总用户基数的百分比。零售商店是与潜在客户联系的战略接触点。印度消费者大多依赖零售商,更喜欢通过个人互动获得建议和理解。因此,电信零售商对企业扩大市场份额起着举足轻重的作用。本文从忠诚度和支付两个维度对不同类型的电信零售商进行了研究。本研究也将有助于企业制定增加销售收入和市场份额的策略。本研究是定性的,其结果是基于对Murshidabad和Nadia地区不同地区的425家电信零售商的市场调查,采用方便抽样技术。这项研究产生了许多有价值的、影响深远的发现。提供电信服务的公司对政策制定和决策的影响。Payout-Loyalty矩阵的研究结果表明,市场上存在6类电信零售商,它们分别是:不活跃零售商、牛市零售商、赌徒零售商、做市商零售商、忠诚尖叫者零售商、忠诚但不稳定且完美的利润创造者零售商、品牌和商业建设者零售商、忠诚幸存者和救世主零售商以及面具赌徒零售商。这种支付-忠诚矩阵可以帮助平衡激励结构,使零售商不从事赌博公司的盈利能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信