/customer_segmentation_with_RFM_analysis

Examining the purchasing habits of customers and segmenting according to these habits.

Primary LanguagePython

Project Purposes:

Examining the purchasing habits of customers by calculating RFM metrics.

To group customers according to their purchasing behavior.

Segment these groups according to recency and frequency grid

RFM Analysis:

RFM analysis is a model for segmenting customers based on three parameters that define their purchase habits. Three parameters are:

Recency: How recently a customer has made a purchase.

Frequency: How often a customer makes a purchase.

Monetary: How much money a customer spends on purchases.

Datasets:

online_retail_II.xlsx: The dataset includes the sales of a UK-based online store between 01/12/2009 - 09/12/2011. The product catalog of this company is mostly souvenirs. It can also be considered as promotional products.