Rule Based Classification for Gezinomi

Business Problem

Gezinomi company wants to create level-based new customer definitions (persona) using some features of its customers, and to create segments according to these new customer definitions and to estimate how much the new customers can earn on average according to these segments.

Data Set Story

The data set includes the prices of the sales made by Gezinomi company and information about these sales. This data set is hidden.

The data set consists of records created in each sales transaction. This means that the table is not deduplicated. In other words, a user with certain demographic characteristics may have made more than one purchase.

Description of Features

FEATURE	DESCRIPTION
SaleID	Sale ID
SaleDate	Sale Date
CheckInDate	Customer's check-in date
Price	Price paid for sale
ConceptName	Hotel concept information
SaleCityName	City information of the hotel
CInDay	Customer's check-in day
SaleCheckInDayDiff	Day difference between check-in and check-in date
Seasons	Season information on the check-in date

Rule-Based-Segmentation for Game Company

Business Problem

A game company wants to create level-based new customer definitions (persona) using some features of its customers, and to create segments according to these new customer definitions and to estimate how much the new customers can earn on average according to these segments.

Data Set Story

The persona.csv dataset contains the prices of the products sold by an international game company and some demographic information of the users who buy these products.

The data set consists of records created in each sales transaction. This means that the table is not deduplicated. In other words, a user with certain demographic characteristics may have made more than one purchase.

Description of Features

FEATURE	DESCRIPTION
Price	The customer's spending amount
Source	The type of device the customer connects to
Sex	Customer's gender
Country	Customer's country
Age	Customer's age