To utilize machine learning techniques to segment customers based on their financial behavior on Amazon.
To analyze the effectiveness of customer segmentation in improving marketing strategies and increasing profitability in the finance sector.
To understand the impact of customer segmentation on personalized recommendations and targeted promotions in driving sales and customer loyalty.
Collect and analyze financial data related to customer transactions, spending patterns, and product preferences on Amazon.
Conduct clustering algorithms to segment customers into distinct groups based on their financial behavior.
Evaluate the performance of different machine learning models in predicting customer segments and identifying key features for segmentation.
Interpret the results and provide insights on how customer segmentation can be leveraged to enhance business performance and decision-making in the finance sector.
