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Comparison of classical RFM models and Machine learning models in CLV prediction

Qismat, Temor; Feng, Yan
Master thesis
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CLV Kaggel Segmentation.pdf (498.0Kb)
CLV Kaggle.pdf (1.171Mb)
URI
https://hdl.handle.net/11250/2688689
Date
2020
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  • Master of Science [963]
Abstract
This study analyzes the difference between classical RFM models and Machine

Leaning (ML) models when calculating CLV with transactional data.

In this paper we run different programs to analyze the CLV value by using both

methods. Based on the results, the researchers found out that Pareto/NBD model have

better predictive power of performing CLV predictions than ML models. Lastly, the

findings proved the effectiveness of the Pareto/NBD method of calculating CLV.
Description
Masteroppgave(MSc) in Master of Science in Business Analytics - Handelshøyskolen BI, 2020
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Handelshøyskolen BI

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