FLO, an online shoe store, wants to divide their customers into segments and to determine marketing strategies according to these segments. For this need, the behaviours of the customers are going to be defined and the customers will be grouped by this common behaviour.
The dataset consists of information obtained from the past shopping behavior of customers who made their last purchase as Omnichannel (both online and offline purchases) from FLO in 2020 - 2021.
| Variable | Definition |
|---|---|
| master_id: | Unique customer number. |
| order_channel: | The channel that the purchase was made. (Android, iOS, Desktop, Mobile) |
| last_order_channel: | The channel that the last purchase was made. |
| first_order_date : | First purchase date of the customer. |
| last_order_date: | Last purchase date of the customer. |
| last_order_date_online: | Last online purchase date of the customer. |
| last_order_date_offline: | Last offline purchase date of the customer. |
| order_num_total_ever_online: | Total online purchase count of the customer. |
| order_num_total_ever_offline: | Total offline purchase count of the customer. |
| customer_value_total_ever_offline: | Total value spent on offline purchases by the customer. |
| customer_value_total_ever_online: | Total value spent on online purchases by the customer. |
| interested_in_categories_12: | The categories that customer purchased from in the last 12 months. |
Clone the project
git clone https://github.com/cagkangrsy/customer_segmentation_with_rfmGo to project directory
cd customer_segmentation_with_rfmRun the notebook.
The dataset is not published in the project due to Data Protection Laws.