To make new customer definitions by using the characteristics of individual customers (level based persona).
Segmenting new customer definitions.
Integrate system with the new future users.
- Thinking about the concept of persona.
- To be able to define new customers according to the levels.
- Simply segment new customer definitions using the qcut function.
- When a new customer arrives, classify them according to segments.
There are two different tables showing the customers' characteristics and transaction information.
users.csv shows the characteristic features of the customers,
purchases.csv shows the transaction information of the customers.
Each user has a unique customer number (uid).
The process of combining both tables can be done with the (uid) number.
users.csv
- uid: Unique customer number
- reg_date: Customer's registration date
- device: Type of product used by the customer. (Android, iOS)
- gender: Customer’s gender
- country: Customer's country
- age: Customer’s age
purchaces.csv
- uid: Unique customer number
- date: The date the customer made a purchase
- price: Customer spend amount
pandas
matplotlib
Oğuz Han Erdoğan - oguzerdo
VBO - Data Science and Machine Learning Bootcamp
www.veribilimiokulu.com