This report explores customer segmentation and targeting strategies in the banking sector, analyzing how data analytics and AI are transforming customer profiling, product customization, and marketing effectiveness. The study examines traditional vs. AI-powered segmentation models, profitability implications, and ethical considerations in targeted banking services.
Key findings reveal that RFM (Recency, Frequency, Monetary) analysis, behavioral segmentation, and predictive modeling significantly enhance targeting precision. Challenges include data privacy concerns and segment overlap. The report provides actionable recommendations for banks to implement hyper-personalized yet compliant targeting strategies.
Preliminary Research & Topic Refinement Data Collection (Primary & Secondary Research)
Interviews Market reports Regulatory documents Case studies Data analysis Quantitative analysis Qualitative analysis Comparative analysis Case study development Impact assessment Challenge and risk analysis strategic recommendations report writing and presentation
