2024
DOI: 10.33093/ijomfa.2024.5.1.2
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Enhancing Conversions and Lead Scoring in Online Professional Education

Wen Yang Yim,
Khai Wah Khaw,
Shiuh Tong Lim
et al.

Abstract: This study seeks to enhance lead conversion for online professional education providers by using supervised machine learning algorithms for lead conversion targeting and lead scoring, including Logistic Regression, K-Nearest Neighbors, Support Vector Machines, Naïve Bayes, Random Forst, Bagging, Boosting, and Stacking. A lead dataset was used to train and test the machine-learning models. The Recursive Feature Elimination (RFE) is used to establish a precise lead profile. The performance of the trained lead co… Show more

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