Dataset from Zenodo · Erviana, Erna
RFM-Engineered Customer Segmentation Dataset Derived from Digital Printing MSME Transaction History (XYZ Print: May 2024 – October 2025)
- License
- CC BY 4.0commercial use allowedLicense text
- This license allows commercial use. Usually you must credit the author; read the license for the exact terms.
- Formats
- CSV
- Size
- 43 kB
- Updated
- Jul 27, 2026
Description
This dataset contains the processed Recency, Frequency, and Monetary (RFM) metrics derived from the raw transaction history of a digital printing Micro, Small, and Medium Enterprise (MSME), anonymized as XYZ Print, covering the period from May 2024 to October 2025. The dataset was engineered to support customer segmentation, behavioral analysis, and customer lifetime value (CLV) modeling in small-to-medium retail and printing operations. It serves as a primary feature-engineered dataset generated for thesis research on data-driven customer relationship management (CRM). Data Pipeline & Methodology Source Data: Raw transaction history containing individual sales records from May 2024 through October 2025. Preprocessing: Cleaned null values, duplicates, and cancelled/returned transactions. Aggregated sales figures per unique Customer ID. Feature Engineering: Recency (R): Number of days between the customer's last transaction and the observation cutoff date (October 31, 2025). Frequency (F): Total count of distinct transactions made by the customer during the 18-month period. Monetary (M): Total expenditure/revenue generated by the customer across all transactions (in IDR). File…
Description from Zenodo, shortened.
Files (1)
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