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Medium Revenue maximization

Don't Break the Bank

#Financial Services #Credit Cards
ProHub Comment

This is a structured revenue optimization case requiring candidates to analyze customer demand elasticity across two segments and multiple revenue streams (APR, merchant fees, annual fees). The case tests quantitative modeling skills, business intuition about pricing trade-offs, and strategic thinking about risk versus return—particularly relevant for financial services.

Estimated Time 26 minutes
Difficulty Medium
Source Duke
10 / 100
Our client, Hudson Bank, is an online bank that plans to launch a new credit card product within the next six months. They have asked us to help them determine a pricing model that will maximize their revenues.

Clarifying Information

  1. Two core customer segments: Transactors and Revolvers. Transactors pay off their entire credit card balance each month, whereas Revolvers leave a balance remaining month to month
  2. Our client generates credit card revenue three ways: 1) Merchant Fee, 2) Annual Percentage Rate (APR), and 3) Annual Fee
  3. If the interviewee asks about costs, mention that the cost structure is the same regardless of the pricing strategy, so the interviewee should focus on revenues
  4. Competition is very strong in this space, so finding the right pricing strategy is critical
  5. Our client offers other lending products such as personal and student loans; however, our sole focus is around their new credit card product
Mock Interview
Interviewer

Our client, Hudson Bank, is an online bank that plans to launch a new credit card product within the next six months. They have asked us to help them determine a pricing model that will maximize their revenues.

You

Thanks. Before analyzing, I'd like to clarify a few key questions...

Interviewer

Good question. Let me provide some background information...

You

Based on this, I suggest analyzing from these dimensions...

AI Score
Structure Analysis Communication Business Sense Quantitative
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Practice this case with AI Mock Interview

Hudson Bank seeks to maximize credit card revenues by determining optimal APR pricing. The analysis reveals that a 20% APR generates the highest revenue ($6.425M) despite lower volume, while 15% APR offers a viable alternative with lower default risk and higher customer acquisition (1,600 more customers).

Key Insights:

  1. Customer segment elasticity differs significantly: Transactors are price-inelastic (relatively stable demand), while Revolvers are price-elastic (demand drops sharply at higher APRs)
  2. Revenue optimization requires modeling multiple revenue streams (APR, merchant fees, annual fees) rather than focusing on volume alone
  3. Trade-off between revenue maximization and risk management: 20% APR maximizes revenue but increases default risk during downturns, making 15% APR a potentially superior strategic choice
  4. Regulatory constraints (UDAAP/CFPB) require uniform pricing across customer segments in year one, limiting ability to implement differentiated strategies
  5. Long-term customer acquisition and loyalty (through mechanisms like cash back) may be more valuable than first-year revenue maximization given competitive landscape