Case Study
Hexaware’s AI-driven borrower segmentation and propensity modeling enabled precise refinancing strategies, resulting in a 10–12% reduction in borrower churn.
Our client is a global provider of advanced mortgage loan services and asset management solutions. With decades of experience, the company supports residential and commercial lenders through innovative technologies and operational expertise. Its services enable efficient loan servicing, risk management, and customer engagement, helping financial institutions optimize performance and deliver superior borrower experiences in a competitive market.
A leading mortgage lender faced rising customer churn as borrowers increasingly opted for refinancing with competitors, driven by adjustments in interest rates influenced by macroeconomic factors. The root cause was fragmented data systems, which hindered a unified view of borrower behavior and motivations. This lack of insight prevented the development of targeted retention strategies.
Marketing efforts remained broad and ineffective due to poor segmentation, resulting in low conversion rates and wasted spend. Operational inefficiencies from manual data analysis slowed decision-making and reduced agility. Without seasonality and trend analysis, the client missed key refinancing windows, allowing competitors to gain ground.
Ultimately, the inability to identify and engage at-risk borrowers led to escalating attrition and revenue loss, threatening the long-term viability of their mortgage portfolio.
To address the client’s borrower retention and engagement challenges, Hexaware implemented a comprehensive, data-driven framework. The initiative began with seasonality and trend analysis of Freddie Mac Note Rate data to identify optimal outreach windows. Using hybrid clustering techniques, borrowers were segmented into actionable cohorts based on behavioral and demographic traits. Look-alike models identified high-risk borrowers likely to refinance elsewhere, while Random Forest propensity models calculated individualized refinancing probabilities (PoR) to prioritize engagement.
Borrowers were stratified into priority tranches, enabling personalized and precise marketing. Flexible segmentation and scoring frameworks allowed rapid campaign adjustments in response to market shifts. Hexaware conducted stakeholder workshops to align solutions with business objectives and integrated domain experts to refine clustering variables and interpret refinance behaviors. The engagement concluded with a tailored operational roadmap, ensuring seamless adoption. The active involvement of stakeholders, including the commercial non-life (marine) insurance underwriting and risk team, ensured alignment, buy-in, and long-term success.
Our AI/ML-powered solution delivered measurable business impact across borrower retention, campaign performance, marketing return on investment (ROI), and strategic decision-making agility.
Hexaware’s layered, AI-powered solution has empowered a leading mortgage lender to overcome deep business challenges, achieve measurable retention gains, and build borrower engagement.
Today, the client continues to benefit from Hexaware’s solution, with ongoing improvements in borrower retention and marketing effectiveness. The institution has adopted a culture of data-driven decision-making, leveraging advanced analytics to anticipate borrower needs and proactively engage at-risk segments. Marketing teams now operate with greater precision, agility, and confidence, ensuring sustained growth in a highly competitive mortgage market. The collaborative partnership with Hexaware remains strong, with continuous enhancements and roadmap updates to adapt to evolving market conditions.
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