Repository logo
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Italiano
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Suomi
  • Svenska
  • Türkçe
  • Tiếng Việt
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Yкраї́нська
  • Log In
    New user? Click here to register.Have you forgotten your password?
Repository logo
  • Communities & Collections
  • All of DSpace
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Italiano
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Suomi
  • Svenska
  • Türkçe
  • Tiếng Việt
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Yкраї́нська
  • Log In
    New user? Click here to register.Have you forgotten your password?
  1. Home
  2. Browse by Author

Browsing by Author "Qureshi, Faraz Firoz Ahmed (18DET11)"

Now showing 1 - 1 of 1
Results Per Page
Sort Options
  • No Thumbnail Available
    Item
    Integrated approach of RFM, clustering, CLTV and machine learning algorithm for forecasting
    (AIKTC, 2021-05) Alvi, Rizwan; Khan, Faisal Mehmood Husain (18DET05); Kadiwal, Aadil Yahiya (17ET20); Patel, Siman Salik (18DET10); Qureshi, Faraz Firoz Ahmed (18DET11)
    Since the increment in competition .firms have to manage and evaluate customer interactions. Here customer segmentations plays a vital role and which is necessary for this competitive environment. The most common way to segregate one customer to another is to promote a group of customers into standard and premium customers. This segregation will helps to enhance customer relationship management. Here manually segmented data is analyzed. with the analyzed data firms starts identifying the customers true value and loyalty . since customers loyalty and value can provide basic data to focus more on personalized marketing. Customer life time value (CLTV) is known as an important concept in marketing and management of organization to increase the captured profitability. Total revenue generated by a customer during His/hers lifetime is named customer lifetime value. The generated value can be calculated through different methods. Each method considers different parameters. Due to the industry , firms , companies the parameters of CLTV may vary. In this article we review most presented models of calculating CLTV.

DSpace software copyright © 2002-2025 LYRASIS

  • Cookie settings
  • Privacy policy
  • End User Agreement
  • Send Feedback