Estimate daily active usage of Search in a priority market

Problem Statement Description

Product context: Airbnb is a travel marketplace connecting guests and hosts; its products include stays, experiences, host tools, guest booking, trust and safety, payments, and reviews.

You are estimating the daily active usage of Airbnb Search in a priority market for budget travelers. The focus is on how many unique users engage with Search on a typical day while looking for affordable stays or travel options, in a market where Airbnb competes with hotels, Booking.com, Expedia, Vrbo, Google Travel, and local rental platforms.

This is a guesstimate question, so the emphasis is not on knowing Airbnb’s internal numbers. You should define a clear market scope, identify the relevant traveler population, estimate how often people search for accommodation, and translate that into daily active Search usage. Your estimate should distinguish between people who are actively planning trips, casually browsing, and repeat users refining searches across multiple sessions.

The estimate should account for Airbnb’s marketplace context: demand depends on travel seasonality, supply availability, price sensitivity, trust, local alternatives, and how budget travelers compare options across platforms before booking.

The experience should consider:

- The specific priority market being estimated, including geography, population, travel intensity, and internet/app access

- The unit of measurement: daily unique users of Airbnb Search, not searches, sessions, listings viewed, or bookings

- The relevant user base, including domestic travelers, inbound travelers, and local residents planning trips

- Budget-traveler behavior, such as price comparison, flexible dates, group travel, and repeated searches before booking

- Adoption assumptions for Airbnb versus competing travel platforms in that market

- Search frequency assumptions across trip-planning stages and typical booking windows

- Seasonality, weekday/weekend variation, events, holidays, and market-specific travel patterns

- Sensitivity checks around the biggest assumptions, such as active traveler share, Airbnb penetration, and search frequency

The goal is to produce a structured, defensible estimate that makes the assumptions explicit, uses reasonable market logic, and arrives at a daily active Search usage number that could help Airbnb size demand, prioritize Search improvements, and understand budget-traveler engagement in the selected market.