Sizing Airbnb's US Revenue Bottom-Up from Listings, Booked Nights and Fees

Quick Overview

A product manager estimation question that asks for Airbnb's yearly revenue from its US business. It tests whether the candidate separates gross bookings from the fees Airbnb keeps, builds a driver-based equation with labeled assumptions, gets the arithmetic right and cross-checks the result from a second angle.

Sizing Airbnb's US Revenue Bottom-Up from Listings, Booked Nights and Fees

Company: Walmart Labs

Role: Product Manager

Category: Product / Decision Making

Difficulty: medium

Interview Round: Other

You are interviewing for a product manager role and are asked to estimate, with no access to data, how much revenue Airbnb earns in a year from its business in the United States. Talk through how you would build the number, state each assumption as you introduce it, and land on a single figure or a narrow range. ```hint Who keeps what Airbnb does not own the homes on its platform. Before sizing anything, decide which part of the money a guest hands over actually counts as Airbnb's revenue. ``` ### Clarifying Questions - Does "revenue" mean the fees Airbnb keeps, or the total value of the bookings guests pay, including the host's share? - Does "in the US" mean stays at US properties, bookings made by US-based guests wherever they travel, or both? - Should Experiences and other non-lodging services count, or only stays? - Is a rough figure for a recent typical year good enough, or does the interviewer have a specific year in mind? ### What a Strong Answer Covers - A precise definition of revenue that separates gross booking value from the take rate Airbnb earns on it. - An equation that breaks the number into drivers such as active listings, booked nights per listing, average nightly price and take rate. - Every input labeled as an assumption, with a round number and a one-line justification. - Correct arithmetic and an independent cross-check, for example a demand-side estimate built from traveler nights. - Awareness of which assumption the result is most sensitive to. ### Follow-up Questions - Which single input moves your estimate the most, and what data would you want in order to tighten it? - How would the number change if the interviewer meant bookings made by US residents, including their trips abroad? - How would a downturn in leisure travel flow through each driver, and which driver would move first?

Overview: A product manager estimation question that asks for Airbnb's yearly revenue from its US business. It tests whether the candidate separates gross bookings from the fees Airbnb keeps, builds a driver-based equation with labeled assumptions, gets the arithmetic right and cross-checks the result from a second angle.

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Walmart Labs
Jan 5, 2025
mediumProduct ManagerOtherProduct / Decision Making
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You are interviewing for a product manager role and are asked to estimate, with no access to data, how much revenue Airbnb earns in a year from its business in the United States. Talk through how you would build the number, state each assumption as you introduce it, and land on a single figure or a narrow range.

Clarifying Questions Guidance

  • Does "revenue" mean the fees Airbnb keeps, or the total value of the bookings guests pay, including the host's share?
  • Does "in the US" mean stays at US properties, bookings made by US-based guests wherever they travel, or both?
  • Should Experiences and other non-lodging services count, or only stays?
  • Is a rough figure for a recent typical year good enough, or does the interviewer have a specific year in mind?

What a Strong Answer Covers Guidance

  • A precise definition of revenue that separates gross booking value from the take rate Airbnb earns on it.
  • An equation that breaks the number into drivers such as active listings, booked nights per listing, average nightly price and take rate.
  • Every input labeled as an assumption, with a round number and a one-line justification.
  • Correct arithmetic and an independent cross-check, for example a demand-side estimate built from traveler nights.
  • Awareness of which assumption the result is most sensitive to.

Follow-up Questions Guidance

  • Which single input moves your estimate the most, and what data would you want in order to tighten it?
  • How would the number change if the interviewer meant bookings made by US residents, including their trips abroad?
  • How would a downturn in leisure travel flow through each driver, and which driver would move first?