Beauty Clinic Transaction Logs for Churn and RFM Modeling (2023-2026)

Beauty clinic transaction logs spanning a four-year period from 2023 to 2026. The data is hosted on Kaggle and is intended for advanced customer behavior analysis. The author, organization, and specific data volume are not provided in the input metadata.

Use Cases

• Predict customer churn based on transaction history and recency.
• Perform RFM (Recency, Frequency, Monetary) segmentation to identify high-value clients.
• Analyze sales trends and customer purchasing patterns over a multi-year period.

Strengths

• Transaction logs cover a four-year time range from 2023 to 2026, providing a longitudinal view.

Limitations

• Row count and column-level documentation are unknown, which limits suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Kaggle

Collection Method

Likely collected from point-of-sale or customer relationship management systems.

Time Range

2023-2026