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BUSINESS PROBLEM

Who are your best customers?
Which of your customers could contribute to your churn rate?
Who has the potential to become valuable customers?
Which of your customers can be retained?
Which of your customers are most likely to respond to engagement campaigns?

This file contains purchase data from January 2020 to November 2020 from a large home appliances and electronics online store.

Each row in the file represents an event. All events are related to products and users. Each event is like many-to-many relation between products and users

  • event time : When event is was happened
  • order_id : Order ID
  • product_id : Product ID
  • category_id : Product category ID
  • category_code: Category meaningful name (if present)
  • brand : Brand name in lower case (if present)
  • price : Product price
  • user_id : User ID

https://www.kaggle.com/datasets/mkechinov/ecommerce-purchase-history-from-electronics-store