Unveiling Customer Traits, RFM Segmentation, and CLTV Insight
Abstract
Unlocking Customer Attributes: RFM Segmentation and CLTV Insights. The application aims to identify valuable patterns in behavior and preferences through this strategic combination of RFM (recency, frequency, monetary) segmentation and CLTV (lifetime value) analysis. This progressive approach gives complete insights into current patron purchase habits, transaction frequency, and the economic performance of the business. Through RFM segmentation, this system seeks to become aware of distinct consumer businesses, allowing corporations to design their marketing strategies more effectively. Additionally, the use of CLTV evaluation affords a comprehensive view of each consumer's long-term price, helping organizations prioritize and expand valuable relationships. Ultimately, this system promises to offer corporations actionable insights to be able to enhance their advertising efforts, improve consumer pride, and increase ordinary profitability.
Fields of Study & Subjects
Customer churn and segmentation
Data Mining and Machine Learning Applications
Customer Service Quality and Loyalty
Publication details
- Journal / source
- International Journal for Research in Applied Science and Engineering Technology
- Volume
- 14
- Issue
- 1
- Pages
- 721–726
- Publication date
- 14 January 2026