Estimate daily active usage of Ads in a priority market at global scale

Problem Statement Description

Product context: DoorDash is a local commerce and delivery platform; its products include restaurant delivery, DashPass, grocery and retail delivery, merchant tools, and dasher tools.

You are estimating the daily active usage of DoorDash Ads in a priority market, with a focus on suburban users in a global-scale local commerce marketplace. DoorDash Ads may appear across food delivery, grocery, convenience, and other local retail surfaces, and the estimate should reflect how often eligible users are exposed to or interact with sponsored placements during their ordering journey.

This is a guesstimate exercise, so the expectation is not a precise number but a structured sizing model. You should clearly define the market scope, user population, what counts as “active usage” of Ads, and how DoorDash’s marketplace dynamics influence ad exposure and engagement. Consider that advertisers may include restaurants, grocery partners, convenience retailers, and local merchants seeking visibility in competitive suburban markets.

The estimate should account for DoorDash’s position relative to other delivery and commerce players such as Uber Eats, Instacart, Grubhub, Amazon, Walmart, and local delivery fleets. It should also reflect marketplace constraints such as consumer demand, merchant ad inventory, delivery reliability, dasher supply, merchant ROI, and unit economics.

The estimate should consider:

- The definition of “daily active usage,” such as ad impressions, ad-viewing users, ad clicks, sponsored-store visits, or orders influenced by ads.

- The geographic scope of a “priority market” and whether it represents a city, metro area, country, or high-value suburban cluster.

- The addressable user base, including total population, households, DoorDash penetration, active customers, and suburban usage patterns.

- Ordering frequency across food, grocery, convenience, and retail categories, including weekday versus weekend behavior.

- The share of sessions or order journeys where ads are eligible to appear, based on search, browse, homepage, store listing, and checkout surfaces.

- Adoption and participation from merchants and brands, including available ad inventory and category mix.

- Sensitivity to key assumptions such as monthly active users, daily session rate, ad load, click-through rate, and order conversion.

- Sanity checks against marketplace balance, user experience limits, advertiser ROI, and comparable local commerce platforms.

The goal is to produce a defensible daily usage estimate with transparent assumptions, a clear calculation path, and an understanding of which variables most influence the final number.