Results 111 to 120 of about 663 (194)
Predicting Customer Lifetime Value in Multi-Service Industries [PDF]
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
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
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
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
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
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
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
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
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
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

