To develop a brand switching analysis system that studies customer purchasing history to understand loyalty patterns and switching triggers. The project aims to help companies design retention strategies and strengthen brand loyalty using behavioral analytics.
Collect customer purchase transaction dataset.
Clean and preprocess brand-level purchase data.
Identify repeat purchase patterns and switching frequency.
Calculate customer retention and churn rates.
Perform cohort analysis for loyalty measurement.
Analyze factors influencing brand switching decisions.
Implement classification models to predict switching behavior.
Visualize loyalty segments using dashboards.
Compare loyalty trends across age and income groups.
Design targeted retention strategy suggestions.
Evaluate model performance and prediction accuracy.
Prepare final research report with behavioral insights.
