
To study the impact of customer education level on purchasing behavior in e-commerce.
To develop a machine learning model that can segment customers based on their educational background.
To analyze the effectiveness of education-based customer segmentation in targeting marketing strategies.
Conduct a literature review on customer segmentation in e-commerce and the role of education in purchasing behavior.
Collect and analyze e-commerce data, including customer demographics and purchase history.
Implement machine learning algorithms to segment customers based on their education level.
Evaluate the performance of the segmentation model using relevant metrics such as precision, recall, and F1 score.
Write a research paper documenting the methodology, results, and implications of education-based customer segmentation for e-commerce businesses.