Demographic Segmentation Project: Detailed Data Analysis
Project Introduction
Demographic segmentation allows businesses to direct their marketing strategies more effectively by grouping customers by demographic characteristics such as age, gender, and region. Within the scope of this project, we will perform demographic segmentation by analyzing customer data and provide important insights to businesses with the findings we obtain.
Datasets
The data sets we will use in this project consist of four main categories:
Customers:
Contains unique customer information.
Columns: CustomerID, Age, Gender, Region.
Orders:
Contains customers' shopping information.
Columns: OrderID, CustomerID, PurchaseDate, PurchaseAmount.
OrderDetails:
Contains shopping details.
Columns: OrderID, ProductCategory, CustomerType.
CustomerAcquisition:
It contains information from which channel customers come.
Columns: CustomerID, AcquisitionChannel, AcquisitionDate.
Road map
Data Loading
Data First Look
Data Merging and Cleansing
Exploratory Data Analysis (EDA)
Fundamental Analysis
Demographic Segmentation
Business Benefits and Insights
Business Benefits and Insights
Spending habits by age: Young customers are more interested in technology products, while middle-aged and older customers are more interested in products such as household goods and furniture.
Gender-based spending differences: Female customers spend more in the clothing and accessories category, while male customers turn to electronic products.
Regional differences: Determining the spending habits and interests of customers living in different regions and using this information in regional marketing strategies.
The insights obtained from this project will ensure that campaigns and offers aimed at the target audience are more successful.
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