Seymour Financial Resilience IndexTM
Inform decisioning and create nuanced credit and risk strategies: based on a better understanding of the financial resilience of your portfolios and customer base
Create enterprise-wide business and customer experience strategies, solutions and tools to help improve the financial resilience and financial wellness of your customers (and employees) while differentiating your offering and creating positive impact for your customers, organization and communities.
Our team also has experience in developing proprietary financial health index models for FIs and other clients, including based on banking or customer transactional data. These models can also be harnessed in conjunction with the Seymour Financial Resilience Index TM to understand differences between reported and actual behaviours and/or to support enhanced predictive modelling and analytics: to inform strategies, credit and risk management, CRM and portfolio management.
What the Index Measures
The Seymour Financial Resilience IndexTM measures a household’s ability to get through financial hardship, stressors and shocks as a result of unplanned life events. The Index is based on nine behavioural, sentiment and resilience indicators, and scores a person’s financial resilience (from 0 to 100) based on our proprietary model.
Application and Benefits
Access the Seymour Financial Resilience Index, our benchmark data and services to support your decisioning, strategy and impact.
Financial Institutions, Government and other organizations can apply the Index and Financial Health Index studies data insights and services to help measure, score and understand the health and financial resilience of their customers, portfolios, employees, citizens and communities – to inform strategies, innovation and programs at the enterprise, provincial, segment and individual household level.
Based on the Index model and nine indicators, a households’ financial resilience is scored from 0 to 100, and can be compared to our Index benchmark scores and data.