Results 111 to 120 of about 663 (194)

Predicting Customer Lifetime Value in Multi-Service Industries [PDF]

open access: yes, 2003
Customer lifetime value (CLV) is a key-metric within CRM. Although, a large number of marketing scientists and practitioners argue in favor of this metric, there are only a few studies that consider the predictive modeling of CLV.
Verhoef, PC   +5 more
core  

Metodología para elaborar leyes de posibilidad de retirada del cliente: una aplicación al sector del vestido // A Methodology to Elaborate Laws of Possibilities in the Retreat of a Client: An Application to the Dress Sector

open access: yesRevista de Métodos Cuantitativos para la Economía y la Empresa, 2016
El presente documento pone a prueba en el sector del vestido en el centro del país, una metodología basada en la teoría de la incertidumbre y los subconjuntos borrosos para construir leyes de posibilidad de retirada del cliente con la empresa, con tan ...
Mauricio Ortigosa Hernández   +1 more
doaj  

COMPOSITE CONTRIBUTION PROFIT (CCP) AKA CUSTOMER LIFETIME VALUE (CLV) FOR A RETAIL BUSINESS

open access: yes
This article explores the concepts of Composite Contribution Profit (CCP) and Customer Lifetime Value (CLV) in the retail industry, examining their evolution, calculation methodologies, and practical applications. It traces the historical development of these metrics from simple formulas to complex predictive models, highlighting the shift towards a ...
openaire   +1 more source

PENGARUH ANALISI DATA CUSTOMER RELATIONSHIP MANAGEMENT (CRM) DAN PERSONALISASI KONTEN TERHADAP CUSTOMER LIFETIME VALUE (CLV) PADA KONSUMEN TIKTOK

open access: yes
Penelitian ini bertujuan untuk mengetahui bagaimanakah Pengaruh Analisis Data CRM dan Personalisasi Konten Terhadap Nilai Jangka Panjang Pelanggan Pada Konsumen Tiktok. Metode penulisan ini menggunakan pendekatan kualitatif dengan metode studi pustaka (library research).
Anisah   +3 more
openaire   +1 more source

Modelización del Customer Lifetime Value (CLV) y su uso para el análisis de la retención de clientes en el CRM

open access: yes, 2023
En la actualidad una gran cantidad de grandes empresas gestiona sus relaciones con sus clientesmediante un CRM. Una parte de las funciones del CRM consiste en almacenar información sobre losclientes y sus interacciones con la compañía. Esta gran cantidad de datos puede utilizarse para realizarestudios y mejorar las estrategias de las empresas, por ...
Perales Boal, Iván   +2 more
openaire   +1 more source

Lifetime value prediction at early customer relationship stages

open access: yes, 2006
Predicting a customer’s future behavior could provide many opportunities for a firm to manage its customer relationships. It could decide whether to concentrate on those customers who have a low predicted lifetime value or on those who are already high ...
v. Wangenheim, F.
core  

SEGMENTATION MODEL OF CUSTOMER LIFETIME VALUE USING K-MEANS ALGORITHM

open access: yes, 2020
This research aims to produce Customer Lifetime Value (CLV) values for each customer segment using the LRFM method (length, recency, frequency, monetary) and in clustering using the K-Means algorithm.
Murnawan
core  

Predicting Customer Lifetime Value (CLV) in UK and Brazil using Machine Learning and Deep Learning: A Comparative Analysis

open access: yes, 2023
Understanding and efficiently deciding Customer Lifetime Value (CLV) is essential for keeping competitive advantage in the modern era of e-commerce. This study aims to taking into account the differences between two very different markets: Brazil and the United Kingdom, to clarify the complex effectiveness of CLV.
openaire   +1 more source

Modeling customer loyalty using customer lifetime value

open access: yes, 2006
The definition and modeling of customer loyalty have been central issues in customer relationship management since many years. Recent papers propose solutions to detect customers that are becoming less loyal, also called churners.
Croux, Christophe   +2 more
core  

Sales Resource Optimization Based on Customer Lifetime Value (CLV): A Data-Driven Dynamic Decision Model

open access: yesJournal of Computer Technology and Applied Mathematics
This study proposes a framework for a dynamic decision-making model based on Customer Lifetime Value (CLV) to optimize sales resources. This model prioritizes profitability as a benchmark for customer performance, serving as a guide for effective resource allocation and improvement. The paper presents a data-driven approach that combines real-time data
openaire   +1 more source

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