# Customer Segmentation through RFM Analysis and K-means Clustering: Leveraging Data-Driven Insights for Effective Marketing Strategy

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/customer-segmentation-through-rfm-analysis-and-k-means-clustering-leveraging/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Akande Noah Oluwatobi,Hakeem Babalola Akande,Emmanuel Oluwatobi Asani,Bestman Tobechukwu Dautare |
| Citations | 9 |
| DOI | 10.1109/seb4sdg60871.2024.10630052 |
| Fields | Business, Management and Accounting |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4401607621 |
| Type | conference-paper |
| Year | 2024 |

## Paper authors

- [Emmanuel Oluwatobi Asani](https://scholariq.org/researchers/emmanuel-oluwatobi-asani/)

## Paper primary topic

- [Customer churn and segmentation](https://scholariq.org/topics/customer-churn-and-segmentation/)

## Paper topics

- [Customer churn and segmentation](https://scholariq.org/topics/customer-churn-and-segmentation/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.