CDNOW / README.md
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license: mit

Dataset Card for CDNOW Dataset

Dataset Summary

The CDNOW dataset is a well-known dataset in customer analytics and predictive modeling, especially used in the context of Customer Lifetime Value (CLV) estimation and Buy Till You Die (BTYD) models. This dataset consists of detailed transaction logs from a CD retailer (CDNOW) for a sample of customers, along with anonymized demographic data.

It is often used in research and teaching materials for modeling purchasing behavior, including techniques like Pareto/NBD, BG/NBD, and Gamma-Gamma models.

Dataset Structure

The dataset is composed of two main CSV files:

purchases.csv

Column Description
users_id Unique ID for each customer
date Date of purchase (YYYY-MM-DD format)
cds Number of CDs bought in a single purchase
amt Total dollar amount spent in the purchase

customers.csv

Column Description
id Customer ID (matches users_id in purchases)
zone U.S. sales region
state Customer's state
gender Gender of the customer
age_category Categorical label for customer's age group
age Customer's age in years

Supported Tasks and Benchmarks

  • Customer Segmentation
  • Churn Prediction
  • CLV Modeling
  • RFM Analysis
  • Marketing Attribution

This dataset is suitable for supervised and unsupervised learning tasks related to customer behavior analysis.

Languages

Not language-dependent; numeric and categorical data only.

Source Information

The CDNOW dataset was originally made publicly available as part of a research project on CLV modeling by:

Fader, Peter S., and Bruce GS Hardie. "Customer-Base Valuation in a Contractual Setting: The Perils of Ignoring Heterogeneity." Marketing Science 29.1 (2010): 85-93.

It has since been widely used in textbooks and academic courses on marketing analytics, such as:

  • "Customer Centricity" by Peter Fader
  • "Data Science for Business" by Provost and Fawcett

Citation

If you use this dataset, consider citing the following:

@article{fader2010customer, title={Customer-Base Valuation in a Contractual Setting: The Perils of Ignoring Heterogeneity}, author={Fader, Peter S and Hardie, Bruce GS}, journal={Marketing Science}, volume={29}, number={1}, pages={85--93}, year={2010}, publisher={INFORMS} }