Get deeper insights into customer preferences and increase revenues by recommending the right products
Cross-selling is an effective source of revenue generation. However, push-based selling across a product range must be aligned to the customer’s needs. Hence, financial institutions need to leverage customer data to be more customer-centric than product-focused.
Our iFusionTM based analytics solution allows banks to unify customer data from various channels and enables marketing and sales teams with personalized insights and specific recommendations for effective prospect conversion.
iFusionTM platform yields a robust, high-speed, and
extensible cross-sell/upsell solution as it:
Segments customers through predictive modeling
Models and predicts optimal Next Best Offers (NBOs) for each segment and provides recommendations on what actions to take for increasing customer acceptance
Maps segments with NBOs using the conversion propensity of each offer and scoring from a profitability perspective
Combines data from multiple systems and channels and in various formats through data virtualization and feature extraction
Equipped with several data preparation algorithms and can also utilize an ETL transformation job, thereby leveraging the bank’s ETL investments
Provides a canvas to train predictive machine learning models such as credit modeling, risk modeling, and response models for direct marketing, channel management, and marketing mix models
Gauges customer’s interest for a given product by combining contextual data and credit model derived from performance data of customer’s current product
Gauges customer’s interest for a given product by combining contextual data and credit model derived from performance data of customer’s current product
Integrates to a marketing or sales application to provide the predictions in real-time and establishes a closed-loop feedback system to refine the model automatically
Provides tiered storage as per the retention policy of the bank