Price Cuts as a Revenue Lever for Walmart's Physical Stores
Company: DoorDash
Role: Product Manager
Category: Product / Decision Making
Difficulty: medium
Interview Round: Other
You own pricing for Walmart's brick-and-mortar stores. Leadership wants more revenue, and the lever you have been given is lowering prices. How would you make lower prices grow revenue?
```hint Break revenue apart
Write a store's revenue as a product of a few terms, then ask which of them a lower price could move by enough to outweigh the money given up on each unit.
```
### Clarifying Questions
- Is the target total store revenue or revenue in the categories whose prices change, and is there a floor on gross margin?
- Can I choose which items and categories get cuts, or is the cut meant to apply across the store?
- Can vendors help fund lower prices, and must store prices stay in line with Walmart's online prices?
- Over what horizon is revenue judged: the next quarter, or a year or more?
### What a Strong Answer Covers
- The condition under which a lower price raises revenue on an item, and how that price sensitivity would be estimated from store data
- Criteria for picking which prices to cut, linked to the way each cut is expected to pay back
- Effects beyond the discounted item: trips, basket size, substitution between items, and competitor reaction
- A store-level test with revenue, volume and margin metrics, read over long enough to separate lasting gains from stock-up buying
- Risks of cuts that are hard to reverse, and a rule for when to roll back
### Follow-up Questions
- A main competitor matches your cuts soon after launch. What do you do next?
- Your test lifts store revenue but lowers gross profit. Would you roll it out, and what would change your mind?
- How would your plan differ for fresh food that spoils quickly versus packaged goods with a long shelf life?
Overview: A pricing strategy case set in Walmart's physical stores: explain how lowering prices could grow revenue instead of shrinking it. It tests reasoning about price elasticity, choosing which prices to cut, traffic and basket effects, store-level experiment design, and margin guardrails.