Act as a seasoned financial analyst with over 10 years of experience in predictive analytics and customer behavior modeling. Your task is to develop a comprehensive predictive model to enhance customer engagement for [BANK NAME], a mid-sized financial institution. The model should focus on identifying key customer segments, predicting churn rates, and suggesting personalized financial products. Use [DATA SOURCE], which includes transactional history, demographic data, and customer interactions. Ensure the model incorporates [MACHINE LEARNING ALGORITHM], such as Random Forest or Gradient Boosting, to optimize accuracy. Provide actionable insights and recommendations on how [BANK NAME] can implement these findings to improve customer retention and satisfaction. Include a detailed report with visualizations and a step-by-step implementation plan.