GitHub / farrellwahyudi / Predict-Customer-Personality-to-Boost-Marketing-Campaign-by-Using-Machine-Learning
In this project I used K-Means and data analysis to predict customer personalities and boost marketing campaigns, resulting in a significant improvement in marketing ROI. It utilized customer behavior data to segment them into distinct clusters, enabling personalized marketing strategies for each group, achieving higher conversion rates and ROI.
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PURL: pkg:github/farrellwahyudi/Predict-Customer-Personality-to-Boost-Marketing-Campaign-by-Using-Machine-Learning
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Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 4.15 MB
Dependencies parsed at: Pending
Created at: over 1 year ago
Updated at: over 1 year ago
Pushed at: over 1 year ago
Last synced at: over 1 year ago
Commit Stats
Commits: 8
Authors: 1
Mean commits per author: 8.0
Development Distribution Score: 0.0
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/farrellwahyudi/Predict-Customer-Personality-to-Boost-Marketing-Campaign-by-Using-Machine-Learning
Topics: business-strategy, clustering, data-analysis, data-preprocessing, data-science, feature-engineering, kmeans-clustering, machine-learning, marketing-campaign, return-of-investment, unsupervised-learning