A review of data mining methods in RFM-based customer segmentation
Data mining (DM) is the process of extracting knowledge from data. Knowledge from
customer behaviour segmentation is useful for companies in setting the target market and …
customer behaviour segmentation is useful for companies in setting the target market and …
Critical factors in indonesia's e-commerce collaboration
R Nurcahyo, PA Putra - Journal of Theoretical and Applied Electronic …, 2021 - mdpi.com
Indonesia's e-commerce development, with growth forecast of up to USD 300 billion by
2020, encourages many e-commerce companies to create new value in their …
2020, encourages many e-commerce companies to create new value in their …
A multi-attribute data mining model for rule extraction and service operations benchmarking
H Amoozad Mahdiraji, M Tavana… - Benchmarking: an …, 2022 - emerald.com
Purpose Customer differences and similarities play a crucial role in service operations, and
service industries need to develop various strategies for different customer types. This study …
service industries need to develop various strategies for different customer types. This study …
An RFM model customizable to product catalogues and marketing criteria using fuzzy linguistic models: Case study of a retail business
In the field of strategic marketing, the recency, frequency and monetary (RFM) variables
model has been applied for years to determine how solid a database is in terms of spending …
model has been applied for years to determine how solid a database is in terms of spending …
Segmentasi Lokasi Promosi Penerimaan Mahasiswa Baru Menggunakan Metode RFM dan K-Means Clustering
D Susilowati, H Hairani… - MATRIK: Jurnal …, 2022 - journal.universitasbumigora.ac.id
Persaingan penerimaan mahasiswa baru antar kampus swasta sangat ketat untuk menarik
calon mahasiswa sehingga membutuhkan strategi. Strategi Universitas Bumigora adalah …
calon mahasiswa sehingga membutuhkan strategi. Strategi Universitas Bumigora adalah …
B2B customer segmentation based on customer lifetime value concept and RFM modeling
FA Laksono, B Rachmat, Y Sutasrso - International Journal of …, 2023 - yrpipku.com
The company has limited resources to use in implementing marketing strategies for its
customers. The first step to be able to develop an effective and efficient marketing strategy is …
customers. The first step to be able to develop an effective and efficient marketing strategy is …
The impact of online purchase behaviour on customer lifetime value
D Kvíčala, M Králová, P Suchánek - Journal of Marketing Analytics, 2024 - Springer
This paper investigates customer lifetime value (CLV) in e-shops, particularly those operated
by small on-platform evolving financially independent online resellers (SOEFIOR) e-shops …
by small on-platform evolving financially independent online resellers (SOEFIOR) e-shops …
[PDF][PDF] Maximizing customer lifetime value using dynamic programming: Theoretical and practical implications
Dynamic programming models play a significant role in maximizing customer lifetime value
(CLV), in different market types including B2B, B2C, C2B, C2C and B2B2C. This paper …
(CLV), in different market types including B2B, B2C, C2B, C2C and B2B2C. This paper …
High value passenger identification research based on Federated Learning
S Chen, DL Xu, W Jiang - 2020 12th International Conference …, 2020 - ieeexplore.ieee.org
Nowadays, airlines are facing increasingly fierce market competition while ushering in
development opportunities. Many scholars researched on airline passenger value using …
development opportunities. Many scholars researched on airline passenger value using …
[KİTAP][B] Application of big data and business analytics
S Kumari, KK Tripathy, V Kumbhar - 2020 - emerald.com
Balchand, K.(2010, April 27). UID number gets brand name, logo. The Hindu. Retrieved from
https://www. thehindu. com/news/national/UID-number-gets-brand-namelogo …
https://www. thehindu. com/news/national/UID-number-gets-brand-namelogo …