Valuing Subscription-Based Businesses Using Publicly Disclosed Customer Data

被引:45
|
作者
McCarthy, Daniel M. [1 ]
Fader, Peter S. [2 ]
Hardie, Bruce G. S. [3 ]
机构
[1] Univ Penn, Dept Stat, Wharton Sch, Philadelphia, PA 19104 USA
[2] Univ Penn, Mkt, Wharton Sch, Philadelphia, PA 19104 USA
[3] Univ London, London Business Sch, Mkt, London, England
关键词
customer lifetime value; customer equity; shareholder value; valuation; PROBABILITY-MODELS; FRANCHISEA HIDDEN; SHAREHOLDER VALUE; EQUITY; SATISFACTION; PREDICTION; DIFFUSION; MEDIA;
D O I
10.1509/jm.15.0519
中图分类号
F [经济];
学科分类号
02 ;
摘要
The growth of subscription-based commerce has changed the types of data that firms report to external shareholders. More than ever, companies are discussing and disclosing information on the number of customers acquired and lost, customer lifetime value, and other data. This has fueled an increasing interest in linking the value of a firm's customers to the overall value of the firm, with the term "customer-based corporate valuation" being used to describe such efforts. Although several researchers in the fields of marketing and accounting have explored this idea, their underlyingmodels of customer acquisition and retention do not adequately reflect the empirical realities associated with these behaviors, and the associated valuation models do not meet the standards of finance professionals. The authors develop a framework for valuing subscription-based firms that addresses both issues, and they apply it to data from DISH Network and Sirius XM Holdings.
引用
收藏
页码:17 / 35
页数:19
相关论文
共 50 条
  • [1] Estimation of the customer mean survival time in subscription-based businesses
    Mohammed, Z.
    Maritz, S.
    Kotze, D.
    [J]. DATA MINING VIII: DATA, TEXT AND WEB MINING AND THEIR BUSINESS APPLICATIONS, 2007, 38 : 285 - +
  • [2] Customer survival time in subscription-based businesses (case of Internet service providers)
    Mohammed, Z.
    Maritz, J. S.
    Kotze, D.
    [J]. DATA MINING VIII: DATA, TEXT AND WEB MINING AND THEIR BUSINESS APPLICATIONS, 2007, 38 : 303 - +
  • [3] Predicting Customer Churn: Customer Behavior Forecasting for Subscription-Based Organizations
    Katelaris, Leonidas
    Themistocleous, Marinos
    [J]. INFORMATION SYSTEMS, EMCIS 2017, 2017, 299 : 128 - 135
  • [4] Customer satisfaction in the pet food subscription-based online services
    Lima, Diogo
    Ramos, Ricardo F.
    Oliveira, Pedro Miguel
    [J]. ELECTRONIC COMMERCE RESEARCH, 2024, 24 (02) : 745 - 769
  • [5] Subscription-Based Data-Sharing Model Using Blockchain and Data as a Service
    Al-Zahrani, Fahad Ahmad
    [J]. IEEE ACCESS, 2020, 8 : 115966 - 115981
  • [6] A Fully Decentralized Infrastructure for Subscription-based IoT Data Trading
    Lin, Ching-Hua Vivian
    Huang, Ching-Chun
    Yuan, Yang-Hao
    Yuan, Zih-shiuan
    [J]. 2020 IEEE INTERNATIONAL CONFERENCE ON BLOCKCHAIN (BLOCKCHAIN 2020), 2020, : 162 - 169
  • [7] Subscription-based data aggregation techniques for top-k monitoring queries
    Kamalas Udomlamlert
    Takahiro Hara
    Shojiro Nishio
    [J]. World Wide Web, 2017, 20 : 237 - 265
  • [8] Subscription-based data aggregation techniques for top-k monitoring queries
    Udomlamlert, Kamalas
    Hara, Takahiro
    Nishio, Shojiro
    [J]. WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS, 2017, 20 (02): : 237 - 265
  • [9] Modeling Recoveries of US Leading Banks Based on Publicly Disclosed Data
    Siarka, Pawel
    [J]. MATHEMATICS, 2021, 9 (02) : 1 - 14
  • [10] Submarine: A subscription-based data streaming framework for integrating large facilities and advanced cyberinfrastructure
    Zamani, Ali Reza
    AbdelBaky, Moustafa
    Balouek-Thomert, Daniel
    Villalobos, J. J.
    Rodero, Ivan
    Parashar, Manish
    [J]. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2020, 32 (16):