ABV data
Description
This dataset contains anonymized transaction-level and customer-profile data supporting the empirical analyses reported in the associated manuscript. The transaction data are used to derive customer-level recency, frequency and monetary-value measures and to reproduce the BVP-CLV-based customer segmentation and robustness analyses. The customer-profile data contain skin-type information used for the exploratory enrichment analysis. Customer identifiers have been replaced by artificial identifiers, and calendar dates have been transformed into relative transaction days to preserve temporal intervals while protecting confidentiality. Variables not required for the reported analyses have been removed. A README file provides detailed information on the variables and the transformations applied.
Files
Steps to reproduce
The dataset was compiled from the company's transactional and customer relationship management (CRM) records. Transaction-level sales data were extracted from the company's sales records and combined with customer profile information from its CRM database. The transaction data include purchase dates, products, quantities, prices and transaction values. Customer profiles include skin-type information used for the exploratory analysis. The data were cleaned, structured at the customer level and used to calculate Recency, Frequency and Monetary Value (RFM) measures. A weighted behavioural value score (BVP-CLV) was then calculated using the weighting scheme described in the manuscript, followed by standardization and K-means cluster analysis. Cluster stability was assessed through sensitivity analysis, and customer segments were subsequently compared across skin-type categories.
Institutions
- ESCP Business SchoolÎle-de-France, Paris