Hybrid Market Research Methodologies in Financial Product Design: Integrating Sentiment Analysis with Discrete Choice Modeling

Authors

  • Utkarsh Shukla Information Technology Product Owner, Inrika Inc

DOI:

https://doi.org/10.53469/jrse.2025.07(08).11

Keywords:

financial products, market research, U.S. financial services, customer retention, datadriven insights

Abstract

The U.S. financial services industry is a multi-trillion-dollar market, with products ranging from credit cards to home equity lines of credit (HELOCs), all competing to attract and retain customers. In this dynamic and highly competitive landscape, financial institutions rely heavily on both qualitative and quantitative market research to configure products that meet customer needs, ensure profitability, and comply with regulatory standards. This paper examines five key financial products—credit cards, mortgages, personal loans, auto loans, and HELOCs—and explores how research influences their development and configuration. By using data-driven insights, institutions can make informed decisions about interest rates, fees, approval methods, and customer retention strategies. This approach ensures that financial products remain relevant, competitive, and aligned with market demands, ultimately driving growth and customer loyalty in the U.S. financial services industry.

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Published

2025-08-31

How to Cite

Shukla, U. (2025). Hybrid Market Research Methodologies in Financial Product Design: Integrating Sentiment Analysis with Discrete Choice Modeling. Journal of Research in Science and Engineering, 7(8), 57–61. https://doi.org/10.53469/jrse.2025.07(08).11

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Section

Articles

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