Results 71 to 80 of about 192 (158)

Artificial Intelligence-Driven Customer Lifetime Value (CLV) Forecasting: Integrating RFM Analysis with Machine Learning for Strategic Customer Retention

open access: yesJournal of Computer Science and Technology Studies
Customer Lifetime Value (CLV) is a critical metric in marketing analytics, enabling businesses to assess long-term profitability and optimize customer retention strategies. Traditional CLV models rely on heuristic approaches such as Regency, Frequency, and Monetary (RFM) analysis, but the advent of Artificial Intelligence (AI) and Machine Learning ...
null Jasmin Akter   +4 more
openaire   +1 more source

UEG Week 2024 Poster Presentations

open access: yes
United European Gastroenterology Journal, Volume 12, Issue S8, Page 665-1360, October 2024.
wiley   +1 more source

Multi-Stage Data-Driven Framework for Customer Journey Optimization and Operational Resilience

open access: yesMathematics
Optimizing customer journeys is a critical challenge in e-commerce and financial services, attracting attention from marketing, operations research, and business analytics.
Tzu-Chien Wang   +3 more
doaj   +1 more source

Measuring and Predicting Customer Lifetime Value in Customer Loyalty Analysis: A Knowledge Management Perspective (A Case Study on an e-Retailer)

open access: yesInternational Journal of Industrial Engineering and Production Research, 2009
Modern business organizations have appreciated the significance of having competitive advantage through the delivery of continuous improvement towards the customers, and being knowledge-oriented.
A. Aghaie
doaj  

LRFMV: An efficient customer segmentation model for superstores. [PDF]

open access: yesPLoS One, 2022
Mahfuza R   +5 more
europepmc   +1 more source

Измерение Customer Lifetime Value (CLV) в условиях традиционной и AI-адаптивной воронки

open access: yes
This article examines the methodological problem of assessing Customer Lifetime Value (CLV) within the context of conventional and AI-adaptive sales funnels. It is argued that in conditions of intensified market competition and oversaturation, traditional CLV measurement techniques – relying on statistical formulae, cohort analysis, and RFM ...
openaire   +3 more sources

Potential Customer Lifetime Value in Financial Institutions: The Usage Of Open Banking Data to Improve CLV Estimation

open access: yes
Financial institutions increasingly adopt customer-centric strategies to enhance profitability and build long-term relationships. While Customer Lifetime Value (CLV) is a core metric, its calculations often rely solely on single-entity data, missing insights from customer activities across multiple firms.
de Brito, João B. G.   +8 more
openaire   +2 more sources

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