Case Study
Driving Personalized Financial Offerings with AI-Powered Propensity Modeling
Industry
Banking & Financial Services
Our Contributions
Advanced Analytics, Machine Learning, Customer Personalization
Technologies
Machine Learning Models, Data Analytics Platforms
Coforge enabled a financial services organization to enhance customer engagement and sales effectiveness by implementing an AI-driven product propensity modeling solution. The objective was to leverage customer data to predict product affinity and deliver personalized financial offerings.
By applying advanced machine learning techniques, Coforge developed a scalable solution that generated actionable insights into customer behavior. This enabled marketing and sales teams to deliver targeted campaigns, improve cross-sell outcomes, and strengthen customer relationships through data-driven personalization.
The Challenge
The client sought to improve customer engagement and cross-sell effectiveness but lacked a data-driven mechanism to predict customer preferences and product affinity. Existing marketing approaches relied on broad segmentation and generic campaigns, resulting in low conversion rates and inefficient use of resources.
Customer data existed across multiple systems, making it difficult to generate a unified view of behavior and intent. Additionally, the absence of predictive analytics limited the organization’s ability to proactively identify high-probability sales opportunities.
The organization required a scalable, intelligent solution to analyze large volumes of customer data, generate actionable insights, and enable targeted, personalized engagement strategies.
Our Approach
+25–35%
Improvement in Cross-Sell Conversion Rates
+30%
Increase in Campaign Effectiveness
+20%
Improvement in Customer Retention
Reduced
Marketing Waste through Targeted Campaigns