This project aims to segment customers into distinct groups based on their purchasing behaviors and characteristics. By leveraging machine learning techniques, specifically KMeans clustering, the project identifies customer segments to help businesses tailor their marketing strategies and enhance customer targeting. The ultimate goal is to enable personalized marketing efforts that can lead to improved customer satisfaction and increased business revenue.
The process involves gathering and preprocessing customer data, selecting relevant features, and applying clustering algorithms to discover meaningful customer segments. The insights derived from these segments can be visualized and interpreted to provide actionable recommendations for marketing strategies.
- Machine Learning
- Data Science
- Customer Segmentation
- Marketing
- Clustering Algorithms
- KMeans Clustering
- Data Preprocessing
- Data Analysis
- Marketing Strategies