Customer Segmentation Using Machine Learning: A Case Study on Meta Platfrom

To analyze customer data on Meta Platform related to finance to identify key segments.

To apply machine learning algorithms to segment customers based on their financial behavior and preferences.

To evaluate the effectiveness of the segmentation approach in targeting customers with personalized offers and services.

To present recommendations for improving customer segmentation strategies on Meta Platform.

Collect and preprocess customer data from Meta Platform related to finance.

Explore different machine learning algorithms for customer segmentation, such as clustering and classification techniques.

Implement the selected machine learning algorithm to segment customers based on their financial attributes.

Evaluate the segmentation results and assess the effectiveness of the approach in improving customer targeting.

Present findings and recommendations in a research report.