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FLO: Customer Segmentation with RFM Analysis

FLO, an online shoe store, segments its customers and develops marketing strategies according to these segments. wants to determine. For this purpose, the behaviors of the customers will be defined and the clusters in these behaviors will be determined. groups will be formed. The dataset will store its last purchases from Flo on OmniChannel (both online) in 2020 - 2021. from the information obtained from the past shopping behaviors of customers who are both offline shopper and consists of.

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Features

  • master_id: Unique client number
  • order_channel: Which channel of the shopping platform is used (Android, ios, Desktop, Mobile)
  • last_order_channel: The channel where the last purchase was made
  • first_order_date: Date of the customer's first purchase
  • last_order_date: The date of the customer's last purchase
  • last_order_date_online: The date of the customer's last purchase on the online platformæ
  • last_order_date_offline: The date of the last purchase made by the customer on the offline platform
  • order_num_total_ever_online: The total number of purchases made by the customer on the online platform
  • order_num_total_ever_offline: Total number of purchases made by the customer offline
  • customer_value_total_ever_offline: The total price paid by the customer for offline purchases
  • customer_value_total_ever_online: The total price paid by the customer for their online shopping
  • interested_in_categories_12: List of categories the customer has purchased from in the last 12 months

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