Results 31 to 40 of about 197 (159)

Consumer Behavior Analysis in Digital Marketing Using AI and Big Data Analytics: A Narrative Review and Methodological Taxonomy

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.
AI and Big Data in Consumer Behavior Analysis. ABSTRACT The rapid expansion of digital consumer data has challenged traditional approaches to understanding behavior in digital marketing. Existing reviews often focus on individual methods and give limited guidance on how analytical techniques compare or how they should be selected for specific marketing
Leonidas Theodorakopoulos, Alexandra Theodoropoulou   +1 more
wiley   +1 more source

INVESTIGATING THE IMPORTANCE OF CUSTOMER LIFETIME VALUE IN MODERN MARKETING - A LITERATURE REVIEW [PDF]

Annals of the University of Oradea: Economic Science, 2021
In this paper, we investigate the importance of Customer Lifetime Value (CLV) as part of the modern marketing strategy. There is no doubt that CLV is one of the most important metrics to be considered in Customer Relationship Management and Relationship ...
Adela-Laura POPA, Dinu Vlad SASU, Teodora Mihaela TARCZA   +2 more
doaj  

Unveiling Marketing Competencies for MBA Graduates Through Text Mining and Machine Learning Applications

Applied AI Letters, Volume 7, Issue 2, June 2026.
Industry Driven Competencies for MBA – Marketign Graduates. ABSTRACT In today's dynamic business environment, marketing professionals are expected to demonstrate a balanced mix of conceptual knowledge, technical skills, and behavioral competencies while addressing their customers.
Latha Arumugham, Mohanamani Palanisamy, Maria Tresita Paul Vincent, Md Billal Hossain   +3 more
wiley   +1 more source

Enhanced Customer Lifetime Value Modeling: Integrating Conformity and Network Influence Through Sentiment Analysis

IEEE Access
The growing use of online social networks has intensified the focus on customer lifetime value (CLV), particularly how social conformity and influence shape purchasing decisions. Traditional CLV models have primarily captured positive interactions within
Niloofar Nazerian, Babak Amiri
doaj   +1 more source

Enterprise Data Valuation—A Targeted Literature Review

Journal of Economic Surveys, Volume 40, Issue 1, Page 73-92, February 2026.
ABSTRACT As digital transformation redefines business models, enterprise value increasingly depends on intangible assets, especially data, rather than traditional physical assets like buildings and equipment. Traditional accounting has long focused on valuing physical assets based on their anticipated future economic benefits, distinguishing between ...
Sai Krishnan Mohan, Gnana Bharathy, Akanksha Jalan   +2 more
wiley   +1 more source

Customer Clustering Based on Factors of Customer Lifetime Value with Data Mining Technique (Case Study: Software Industry) [PDF]

International Journal of Industrial Engineering and Production Research, 2022
Organizations have used Customer Lifetime Value (CLV) as an appropriate pattern to classify their customers. Data mining techniques have enabled organizations to analyze their customers’ behaviors more quantitatively.
Elaheh Bakhshizadeh, Hossein Aliasghari, Rassoul Noorossana, Rouzbeh Ghousi   +3 more
doaj  

Presenting a Model to Investigate the Factors Affecting CLV: A Case Study of Melli Bank Branches in Challus [PDF]

کاوش‌های مدیریت بازرگانی, 2019
Nowadays, the issue of how to communicate with customers and maintain the relationship with them for long is of utmost importance because it affects the durability and stability of companies in the competitive situation.
Mohammad Rahim Esfidani, Fatemeh Toopa Esfandiari   +1 more
doaj   +1 more source

Customer Churn Prediction in Banking–Machine Learning Application

Applied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.
This study applies machine learning to predict customer churn in commercial banking, using a publicly available dataset of 10,000 customers from Kaggle, comprising 14 demographic, behavioural and account‐level features with an approximate 4:1 class imbalance ratio between nonchurners and churners.
Hien Thi Thu Hoang, Trieu Viet Dang, Linh Thuy Dang Do, Pramita Mishra   +3 more
wiley   +1 more source

Integrating social customer relationship management into customer lifetime value: Empirical evidence from Vietnamese banking [PDF]

Innovative Marketing
Type of the article: Research Article AbstractIn the context of rapid digital transformation in the banking sector of developing countries such as Vietnam, maintaining long-term customer value has become a critical challenge.
Nguyen Ha Thach, Pham Thi Kim Thanh, Nguyen Thi Thanh Hien, Nguyen Thu Hien   +3 more
doaj   +1 more source

FPA‐Optimized Heterogeneous Ensemble Model for Robust Customer Churn Prediction Across Diverse Industries

Applied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.
Predicting customer churn is critical for sustaining long‐term customer relationships, especially in competitive sectors such as telecommunications, banking, and subscription‐based services, where retaining customers is significantly more cost‐effective than acquiring new ones. This study evaluates several machine‐learning approaches for the prediction
Pari Dandona, Achin Jain, Arun Kumar Dubey, Prakhar Priyadarshi, Arvind Panwar, Helena Chytilova, Ondrej Krejcar, Hamidreza Namazi, Pramita Mishra   +8 more
wiley   +1 more source