Results 21 to 30 of about 192 (158)

CUSTOMER SEGMENTATION ANALYSIS BASED ON THE CUSTOMER LIFETIME VALUE METHOD

open access: yesJurnal Aplikasi Manajemen, 2019
Companies need to understand the customers’ data better in all aspects. Detecting similarities and differences among customers, predicting their behaviors, proposing better options and opportunities tocustomers became very important for customer-company ...
edwin agung pratomo   +2 more
doaj   +1 more source

Measure of CLV Toward Market Segmentation Approach in the Telecommunication Sector (Vietnam)

open access: yesSAGE Open, 2021
This study is based on data used by a telecommunications industry over a period of 6 months, beginning July 1, 2018, until December 31, 2018. The approached model of customer lifetime value (CLV) was concerned on the sample size of 245,355 records made ...
Tu Van Binh   +2 more
doaj   +1 more source

User Preference Mining in Digital Community Based on CLV Preference Mining Model [PDF]

open access: yesNongye tushu qingbao xuebao, 2023
[Purpose/Significance] Digital communities have become a way for enterprises to manage users efficiently. The existing research on digital community rarely considers the importance of user behavior information and user's customer life cycle value to the ...
XIAO Yun, XU Huanhuan, XIAO Yayuan, ZHAO Youlin, PANG Hangyuan
doaj   +1 more source

A review of the customer lifetime value as a customer profitability measure in the context of customer relationship management

open access: yesIntangible Capital, 2011
Purpose: A number of customer metrics allow estimating customer profitability with methods such as the Customer Lifetime Value (CLV). However, investments in customer relationships carry the potential risk to destroy value and reduce profitability when ...
Raphael Damm, Carlos Rodríguez Monroy
doaj   +1 more source

A meta-learning based stacked regression approach for customer lifetime value prediction

open access: yesJournal of Economy and Technology, 2023
Companies across the globe are keen on targeting potential high-value customers in an attempt to expand revenue, and this could be achieved only by understanding the customers more.
Karan Gadgil   +2 more
doaj   +1 more source

Predicting e-commerce CLV with neural networks: The role of NPS, ATV, and CES

open access: yesJournal of Economy and Technology
Accurately predicting Customer Lifetime Value (CLV) is paramount in optimizing customer relationship management. This study introduces a novel deep learning approach, employing a neural network model to forecast CLV for a leading international e-commerce
Vahid Norouzi
doaj   +1 more source

Investigating the Effective Components on Customer Lifetime Value of Dairy Products in Tehran [PDF]

open access: yesمجله اقتصاد و توسعه کشاورزی
In contemporary marketing, maintaining and enhancing customer loyalty toward a company's products or services has become a primary focus. Among the factors influencing customer loyalty is ethical marketing, a field of applied ethics related to the ...
F. Vajdi Hokm Abad   +4 more
doaj   +1 more source

An Empirical Analysis to Design Enhanced Customer Lifetime Value Based on Customer Loyalty: Evidences from Iranian Banking Sector [PDF]

open access: yesIranian Journal of Management Studies, 2012
The more a marketing paradigm evolves, the more long-term relationship with customers gains its importance. Also, the move towards a customer-centred approach to marketing, coupled with the increasing availability of customer transaction data, has led to
Mohammad Safari Kahreh   +1 more
doaj  

Using downside CAPM theory to improve customer lifetime value prediction in non-contractual setting [PDF]

open access: yesManagement Science Letters, 2013
Identifying and selecting the most profitable customers from a shareholder’s perspective is of great interest to marketing managers. One promising line in this regard is to explore the customer lifetime value and its profitable management over time ...
Amir Albadvi, Ashraf Norouzi
doaj   +1 more source

Klusterisasi Customer Lifetime Value dengan Model LRFM menggunakan Algoritma K-Means

open access: yesJurnal Teknologi Informasi dan Ilmu Komputer, 2018
Penelitian ini bertujuan menghasilkan nilai Customer Lifetime Value (CLV) pada setiap segmen pelanggan dengan menggunakan algoritma K-means dalam melakukan klusterisasi pelanggan.
Siti monalisa
doaj   +1 more source

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