Calculate break-even new customers for a 30% Rent-a-Home discount

Quick Overview

A Capital One data-scientist technical screen on break-even and unit economics for a 30%-off Rent-a-Home promotion. You set up and solve the break-even equation for incremental new customers, size it against the 2M cardholder base, then re-solve under spend-uplift assumptions and explain why the required count nearly doubles.

Calculate break-even new customers for a 30% Rent-a-Home discount

Company: Capital One

Role: Data Scientist

Category: Statistics & Math

Difficulty: medium

Interview Round: Technical Screen

##### Question Capital One (C1) is evaluating a promotional offer on its Rent-a-Home (RH) product and wants you to size the unit economics. **Base assumptions** - C1 has 2,000,000 active cardholders. - Currently 5% use Rent-a-Home (RH) annually. - Average RH spend per RH user per year is $500. - A proposed promo gives 30% off RH spend, fully funded by C1. - Average first-year net revenue per new cardholder (after non-RH rewards, servicing, and expected credit loss) is $550. - Ignore interchange on RH transactions for simplicity. Let **x** = the number of new customers acquired because of the promo. 1. **Base break-even.** Write the break-even equation where incremental revenue from the new customers equals the promo cost across existing RH users plus new RH users, then solve for **x**. Show your work and final numbers. 2. **Sizing and realism.** Express **x** as a percentage of the 2,000,000 base, and discuss whether this target is realistic given typical acquisition funnels and approval rates. 3. **Spend-uplift extension.** Now extend the scenario and assume that during the promo: (i) existing RH users increase RH spend by 20% (from $500 to $600); (ii) new customers who join because of the promo spend twice as much on RH as existing users during the promo period (i.e., $1,000). The discount remains 30% on RH spend and average first-year net revenue per new cardholder remains $550. Write and solve the break-even equation: `550·x − 0.30·(1,000·x + 2,000,000·5%·600) = 0` 4. **Compare and explain.** Compare the new break-even **x** from part 3 to the original break-even from part 1, and explain intuitively why the required new-customer count changes despite the higher spend.

Quick Answer: A Capital One data-scientist technical screen on break-even and unit economics for a 30%-off Rent-a-Home promotion. You set up and solve the break-even equation for incremental new customers, size it against the 2M cardholder base, then re-solve under spend-uplift assumptions and explain why the required count nearly doubles.

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Oct 13, 2025, 9:49 PM
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Question

Capital One (C1) is evaluating a promotional offer on its Rent-a-Home (RH) product and wants you to size the unit economics.

Base assumptions

  • C1 has 2,000,000 active cardholders.
  • Currently 5% use Rent-a-Home (RH) annually.
  • Average RH spend per RH user per year is $500.
  • A proposed promo gives 30% off RH spend, fully funded by C1.
  • Average first-year net revenue per new cardholder (after non-RH rewards, servicing, and expected credit loss) is $550.
  • Ignore interchange on RH transactions for simplicity.

Let x = the number of new customers acquired because of the promo.

  1. Base break-even. Write the break-even equation where incremental revenue from the new customers equals the promo cost across existing RH users plus new RH users, then solve for x . Show your work and final numbers.
  2. Sizing and realism. Express x as a percentage of the 2,000,000 base, and discuss whether this target is realistic given typical acquisition funnels and approval rates.
  3. Spend-uplift extension. Now extend the scenario and assume that during the promo: (i) existing RH users increase RH spend by 20% (from 500to500 to 600); (ii) new customers who join because of the promo spend twice as much on RH as existing users during the promo period (i.e., 1,000).Thediscountremains301,000). The discount remains 30% on RH spend and average first-year net revenue per new cardholder remains 550. Write and solve the break-even equation: 550·x − 0.30·(1,000·x + 2,000,000·5%·600) = 0
  4. Compare and explain. Compare the new break-even x from part 3 to the original break-even from part 1, and explain intuitively why the required new-customer count changes despite the higher spend.
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