Research on customer lifetime value based on machine learning algorithms and customer relationship management analysis model

Y Sun, H Liu, Y Gao - Heliyon, 2023 - cell.com
Customer lifetime value is one of the most important tasks for enterprises to maintain
customer relationships. However, due to the limitations of using a single data mining …

Why do banks retain unprofitable customers? A customer lifetime value real options approach

M Méndez-Suárez, N Crespo-Tejero - Journal of Business Research, 2021 - Elsevier
This article investigates why banks maintain unprofitable customers by applying real options
theory to determine their customer lifetime value (CLV) and assessing threshold values …

Integrated customer lifetime value (CLV) and customer migration model to improve customer segmentation

K Kanchanapoom, J Chongwatpol - Journal of Marketing Analytics, 2023 - Springer
Cluster analysis and RFM model are widely used to gain a deeper understanding of
customers' characteristics and needs due to its simplicity and applicability in analyzing …

Optimum technology product life cycle technology innovation investment-using compound binomial options

CC Ko, TT Lin, FM Zeng, CY Liu - Risks, 2018 - mdpi.com
The study considers the product life cycle in the stages of technological innovation, and
focuses on how to evaluate the optimal investment strategy and the project value. It applies …

Valuation of Customers Using Continuous-time Option Pricing Framework: New Models and Empirical Evidence

C Won, Y Won, PY Won - 2024 - papers.ssrn.com
Marketing literature recognizes that customers are important assets and should be
accurately assessed, as customer value is crucial for the effective allocation of scarce …

Customer Lifetime Value Prediction Using Customer Relationship Management Data-Based on Machine Learning Algorithms

A Ahmadi Esfahani, L Taherkhani - Available at SSRN 4999087 - papers.ssrn.com
This study presents a comprehensive analysis of Customer Lifetime Value prediction using
customer data, employing a robust methodology that includes data cleaning, feature …

Study on Risk Assessment of Inland Nuclear Power Investment Construction Projects by Kazakhstan

L Liu, M Cheng - IOP Conference Series: Earth and …, 2020 - iopscience.iop.org
This article is the first attempt to conduct a comprehensive evaluation of Kazakhstan's inland
nuclear power investment construction projects. Based on the summary of existing research …

[引用][C] Optimizing the Role of Instagram in Sports Product Digital Marketing Strategies

DK Hijriansyah - JUARA: Jurnal Olahraga, 2024