Current Volume 9
The Indian banking sector is highly competitive. Established banks leverage extensive customer data to maintain market dominance, making product launches by new entrants particularly challenging. Existing research has not produced a unified, end-to-end framework that integrates multi-source banking data analysis with rigorous experimental product validation. This paper addresses that gap through a two-phase data-driven framework. Phase 1 performs comprehensive data cleaning and exploratory data analysis (EDA) on a 40,000-record banking dataset comprising customer demographics, transaction history, and credit score information, with the objective of identifying the optimal target market segment. Phase 2 validates product performance through a statistically controlled A/B trial supported by hypothesis testing and confidence interval analysis. The framework introduces context-aware imputation techniques, a budget-constrained trial design methodology, and structured comparative tables to guide decision-making. Results confirm that targeting the 18–25 age group with a tailored credit card product leads to a statistically significant increase in average transaction amounts (95% CI: $226–$245). This study provides a reproducible, evidence-based blueprint for credit card product launches in emerging markets such as India.
Exploratory Data Analysis, Credit Card Analytics, Customer Segmentation, A/B Testing, Hypothesis Testing, Statistical Power, Indian Banking Market
IRE Journals:
Inzamamahmed Mohammedmustak Siddiki, Prof. Rakshitha B S "A Data-Driven Framework for Target Market Selection and Performance Evaluation of a Credit Card Product Using Statistical Analysis" Iconic Research And Engineering Journals Volume 9 Issue 11 2026 Page 2913-2920 https://doi.org/10.64388/IREV9I11-1718013
IEEE:
Inzamamahmed Mohammedmustak Siddiki, Prof. Rakshitha B S
"A Data-Driven Framework for Target Market Selection and Performance Evaluation of a Credit Card Product Using Statistical Analysis" Iconic Research And Engineering Journals, 9(11) https://doi.org/10.64388/IREV9I11-1718013