FLO, a shoe store, wants to define a roadmap for their sales and marketing actions. For the company to make medium-long term plans, the potential value that existing customers will bring should be predicted.
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/cltv_prediction_with_bgnbd_gammaGo to project directory
cd cltv_prediction_with_bgnbd_gammaRun the notebook.
The dataset is not published in the project due to Data Protection Laws.