Credit-Card Business Optimization Case
You are evaluating a new credit-card product. You have or will estimate per-segment cost, revenue, and risk inputs such as acquisition cost, APR options, credit-limit options, interchange and rewards rates, servicing and funding costs, default risk, and churn.
Choose an optimal go-to-market strategy across pricing, credit limits, and target segments.
Constraints & Assumptions
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Optimize risk-adjusted profitability, not gross revenue alone.
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Include regulatory, fairness, risk appetite, and customer-suitability constraints.
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Treat APR, credit limit, and target segment as interacting decisions.
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If concrete numbers are missing, illustrate with a small numeric example and state assumptions.
Clarifying Questions to Ask
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What customer segments are eligible, and what data is available for underwriting?
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What are the APR, fee, reward, and credit-limit choices?
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What are the expected PD, LGD, utilization, spend, churn, and acquisition costs by segment?
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What constraints exist around regulation, fairness, capital, and adverse selection?
Part 1 - Objective and Unit Economics
Define the objective and the core unit-economics model.
What This Part Should Cover
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Use CLV, NPV, expected profit, or risk-adjusted return as the objective.
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Include interest income, interchange, annual fees, rewards, funding cost, servicing, acquisition cost, expected credit loss, and churn.
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Explain how utilization and spend connect APR, credit limit, and profitability.
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Include discounting and customer lifetime if relevant.
Part 2 - Optimization Choices
Show how you would select APR, initial credit limit, and target segments.
What This Part Should Cover
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Estimate profitability and risk by segment under candidate APR and limit policies.
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Apply constraints for loss rates, approval rate, fairness, credit policy, and capital.
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Consider adverse selection and customer response to pricing.
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Use grid search, constrained optimization, uplift modeling, or experimentation where appropriate.
Part 3 - Validation and Launch
Explain how you would validate and monitor the strategy.
What This Part Should Cover
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Use backtests, champion-challenger tests, randomized pricing or limit tests where allowed, and cohort monitoring.
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Track approval rate, activation, spend, revolve rate, delinquency, losses, attrition, complaints, and profitability.
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Monitor fairness, model drift, macroeconomic changes, and operational risk.
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Define rollback or adjustment rules.
Follow-up Questions
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How would you handle a segment with high spend but high default risk?
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What if a higher APR increases profit per borrower but reduces acquisition?
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How would you avoid unfair or discriminatory credit-limit outcomes?