rfm-package 0.1.0

A Python package for Recency, Frequency, Monetary model (RFM)

RFM Package

A Python package for Recency, Frequency, Monetary model (RFM), which is an analysis is a behavior based technique used to segment customers by examining their transaction history.

• how recently a customer has purchased (Recency)
• how often they purchase (Frequency)
• how much the customer spends (Monetary)

License

• Free software: MIT license
• Documentation: https://rfm-package.readthedocs.io.

Installation

You can install the package using

pip install rfm_package

Usage Test

orders = pd.read_csv(r'C:/Users/Admin/Desktop/RFM-Package/rfm_package/data/orders.csv', parse_dates = ['order_date'])

columns = create_rfm_columns(orders, "customer_id", "order_date", "revenue")
print(columns)

scaled = scale_rfm_columns(columns)
print(scaled)

plot_rfm(scaled)

scores = rfm_scores(scaled)
print(rfm_scores(scaled))

named_segments = give_names_to_segments(scores)
print(named_segments)

dist = segments_distribution(named_segments)
print(dist)

visualize_segments(dist)

Credits

This package was created with Cookiecutter_ and the audreyr/cookiecutter-pypackage_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter .. _audreyr/cookiecutter-pypackage: https://github.com/audreyr/cookiecutter-pypackage

======= History

0.1.0 (2022-12-15)

• First release on PyPI.