https://github.com/elifftosunn/rfm-customers-analysis
RFM analysis focuses on identifying and segmenting customers based on their purchasing behavior. Analyzed to understand and interact with customers. It can be used together for more effective marketing and customer management strategies.
https://github.com/elifftosunn/rfm-customers-analysis
apriori-algorithm association-rules cohort-analysis datetime fpgrowth kmeans-clustering matplotlib-pyplot minmaxscaler numpy pandas python3 rfm rfm-analysis seaborn silhouette-score sklearn tableau
Last synced: 3 months ago
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RFM analysis focuses on identifying and segmenting customers based on their purchasing behavior. Analyzed to understand and interact with customers. It can be used together for more effective marketing and customer management strategies.
- Host: GitHub
- URL: https://github.com/elifftosunn/rfm-customers-analysis
- Owner: elifftosunn
- Created: 2022-06-16T09:34:42.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2023-03-30T18:58:57.000Z (about 2 years ago)
- Last Synced: 2025-01-21T21:35:25.028Z (4 months ago)
- Topics: apriori-algorithm, association-rules, cohort-analysis, datetime, fpgrowth, kmeans-clustering, matplotlib-pyplot, minmaxscaler, numpy, pandas, python3, rfm, rfm-analysis, seaborn, silhouette-score, sklearn, tableau
- Language: Jupyter Notebook
- Homepage:
- Size: 359 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# RFM-Customers-Analysis
RFM analysis is a marketing technique used to quantitatively rank and group customers based on the recency, frequency and monetary total of their recent transactions to identify the best customers and perform targeted marketing campaigns.
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