Customer Lifetime Value Prediction

• Author(s): Devansh Mishra; Deepam Singh; Dr. Ishrat Ali; Prof. Sanjay Pachauri
• Paper ID: 1712215
• Page: 1833-1836
• Published Date: 25-11-2025
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 9 Issue 5 November-2025

Abstract

In the contemporary business landscape, organizations are shifting from transactional metrics to a more relationship-oriented view of their customers. Central to this evolution is the concept of Customer Lifetime Value (CLV), a forward-looking prediction of the total net profit a business can expect from a customer over the entire duration of their relationship.4 Unlike metrics that measure past performance, predictive CLV uses data to forecast future value, empowering businesses to make proactive, data-informed decisions regarding marketing spend, customer acquisition, and retention strategies.6 The ability to accurately predict CLV allows a company to identify its most valuable customers, tailor its engagement strategies, and ultimately foster long-term, sustainable growth.

Citations

IRE Journals:
Devansh Mishra, Deepam Singh, Dr. Ishrat Ali, Prof. Sanjay Pachauri "Customer Lifetime Value Prediction" Iconic Research And Engineering Journals Volume 9 Issue 5 2025 Page 1833-1836 https://doi.org/10.64388/IREV9I5-1712215

IEEE:
Devansh Mishra, Deepam Singh, Dr. Ishrat Ali, Prof. Sanjay Pachauri "Customer Lifetime Value Prediction" Iconic Research And Engineering Journals, 9(5) https://doi.org/10.64388/IREV9I5-1712215