FLO, an online shoe store, wants to segment its customers and determine marketing strategies according to these segments. To this end, the behaviors of the customers will be defined and groups will be formed according to the clusters in these behaviors.
The dataset consists of the information obtained from the past shopping behavior of customers who made their last purchases from FLO as OmniChannel (both online and offline shopper) between 2020 and 2021.
Total Features : 12
Total Row : 19.945
csv File Size : 2.7MB
master_id : Unique Customer Number
order_channel : Which channel of the shopping platform is used (Android, IOS, Desktop, Mobile)
last_order_channel : The channel where the most recent purchase was made
first_order_date : Date of the customer's first purchase
last_order_channel : Customer's previous shopping history
last_order_date_offline : The date of the last purchase made by the customer on the offline platform
order_num_total_ever_online : 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 on the offline platform
customer_value_total_ever_offline : Total fees paid for the customer's offline purchases
customer_value_total_ever_online : Total fees paid for the customer's online purchases
interested_in_categories_12 : List of categories the customer has shopped in the last 12 months