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MRI India Journals Vol. 14 No. 3s (2025): Special Issue: AIDCON-2025

Customer Lifetime Value Prediction for E-Commerce

Authors

  • Durgesh S. Khajure Department of Computer Engineering, St. Vincent Pallotti College of Engineering & Technology, Nagpur, India
  • Pallavi M. Wankhede Department of Computer Engineering, St. Vincent Pallotti College of Engineering & Technology, Nagpur, India

DOI:

https://doi.org/10.65521/intjournalrecadvengtech.v14i3s.1697

Keywords:

Customer Lifetime Value (CLTV) Marketing Analytics Customer Relationship Management Strategic Business Planning Customer Acquisition Customer Retention Customer Segmentation Profitability Predictive Analytics Machine Learning Data-Driven Decision Making Financial Forecasting Customer-Centric Models Brand Loyalty Competitive Advantage Digital Marketplace Revenue Forecasting Business Strategy

Abstract

Customer Lifetime Value (CLTV) is like, a really important thing that companies use in marketing and planning and stuff. It kind a tells them how much money a customer can bring over the whole time they’re with the brand not just from one buy, but like the whole journey, you know?

With CLTV, businesses can kind a understand which customers are more valuable in money terms. So they can make better plans for getting new people, keeping the ones they already got, and helping them stick around longer. It also helps them not waste money on marketing and just focus on the customers who actually bring in more cash.

Nowadays, everything’s super digital and competition is like, everywhere. So it's really important to keep customers happy and not losing them. CLTV looks at stuff like how many times a customer buys things, how much they usually spend, how loyal they are, and even if they get discounts or whatever. It gives a full picture of how useful a customer really is.

Thanks to tech like machine learning and predictive tools and all that, CLTV models are now way more smart and also easier to use. Companies can use them to make fast decisions in real-time, which is super cool and useful.

If companies use CLTV properly, they can send more targeted ads, make loyalty things, and give better support so the customers feel special and all. So yeah, CLTV is not just some number game, it's actually like a smart guide that helps build strong customer relations and stay ahead in this crazy digital market world.

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Published

2025-12-23

How to Cite

Khajure, D. S., & Wankhede, P. M. (2025). Customer Lifetime Value Prediction for E-Commerce . International Journal of Recent Advances in Engineering and Technology, 14(3s), 235–243. https://doi.org/10.65521/intjournalrecadvengtech.v14i3s.1697

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