Results 71 to 80 of about 663 (194)

Analysis and Optimization of Customer Lifetime Value Prediction using Machine Learning and Deep Learning Models by RFM Techniques [PDF]

International Journal of Web Research
In today’s data-driven hospitality sector, customer interactions increasingly occur through digital platforms, generating extensive behavioral and transactional information. This study analyse the prediction of Customer Lifetime Value (CLV) using machine
Leila Taherkhani, Amir Daneshvar, Hossein Amoozad Khalili, MohammadReza Sanaei   +3 more
doaj   +1 more source

Customer Loyalty Clustering Model Using K-Means Algorithm with LRIFMQ Parameters

Inform: Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi, 2020
Loyal customers are one of the factors that determine the development of a business. Therefore, businesses need a strategy to keep customers loyal, even making customers who were previously less loyal to become more loyal. The strategy used must be right
Aloysius Matz Teguh Utomo
doaj   +1 more source

Modeling churn using customer lifetime value. [PDF]

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, Baesens, Bart, Glady, Nicolas   +2 more
core  

Modelling customer lifetime value in contractual settings [PDF]

, 2011
Service provision is often governed by a contract (e.g., newspaper subscriptions, phone contracts, and credit agreements). Typically, such a contract includes rules that influence the dynamics of the customer in the marketplace.
Heitz, Christoph, Ruckstuhl, Andreas, Christoph Heitz, Dettling, Marcel, Andreas Ruckstuhl, Marcel Dettling   +5 more
core   +1 more source

Relationship Marketing results: proposition of a cognitive mapping model

Revista Brasileira de Gestão De Negócios, 2015
Objective - This research sought to develop a cognitive model that expresses how marketing professionals understand the relationship between the constructs that define relationship marketing (RM).
Iná Futino Barreto, Edson Crescitelli, Júlio César Bastos Figueiredo   +2 more
doaj   +1 more source

Inclusive

Critical Quarterly, Volume 66, Issue 3, Page 95-100, October 2024.
Kathryn Allan
wiley   +1 more source

"Customer Lifetime Value and RFM Data: Accounting Your Customers: One by One" [PDF]

A customer behavior model that permits the estimation of customer lifetime value (CLV) from standard RFM data in "non-contractual" setting is developed by extending the hierarchical Bayes (HB) framework of the Pareto/NBD model (Abe 2008).
Makoto Abe
core  

Customer Clustering Based on Customer Lifetime Value: A Case Study of an Iranian Bank

International Journal of Information and Communication Technology Research, 2015
Customer lifetime value (CLV) as a quantifiable parameter plays an important role in customer clustering. Clustering based on CLV helps organizations to form distinct customer groups, reveal buying patterns, and create longterm relationships with their ...
Arezoo Nekooei, Mohammad Jafar Tarokh
doaj  

Domain knowledge integration in data mining for churn and customer lifetime value modelling: new approaches and applications

, 2009
The evaluation of the relationship with the customer and related benefits has become akey point for a company’s competitive advantage. Consequently, interest in keyconcepts, such as customer lifetime value and churn has increased over the years.However ...
de Oliveira Lima, Elen
core  

User Behavior Sequence Mining via Graph Neural Networks for Customer Lifetime Value Prediction and Precision Marketing Strategy Formulation

Journal of Applied Science and Engineering
Customer Lifetime Value (CLV) prediction is a core task in retail and e-commerce, enabling enterprises to optimize resource allocation and formulate precision marketing strategies.
Yalin Pang
doaj   +1 more source