Estimate daily active usage of Mobile Downloads in a priority market

Problem Statement Description

Product context: Netflix is a streaming entertainment company; its products include subscription video, original films and series, recommendations, profiles, games, and ad-supported plans.

You are estimating the daily active usage of Netflix Mobile Downloads in a priority market. Mobile Downloads allow members to save titles on a phone or tablet for offline viewing, which is especially relevant in markets where commuting, mobile-first viewing, variable connectivity, data costs, or shared household access influence viewing behavior.

Frame the estimate from the perspective of Netflix evaluating how many users engage with downloaded content on a typical day in that market. The focus is not total Netflix viewing or total app opens, but active usage of the Mobile Downloads feature: users who download, manage, or watch downloaded content within a defined daily window.

Your estimate should account for the target segment of genre fans, who may have stronger intent around specific shows, films, anime, dramas, sports-adjacent content, documentaries, or locally popular categories. Consider how content availability, release cycles, mobile device access, subscription penetration, and competition from YouTube, local broadcasters, and other streaming platforms may shape adoption and frequency.

The experience should consider:

- The exact unit being estimated, such as daily active download users, daily offline viewers, or daily download-related sessions

- The priority market scope, including population, smartphone penetration, internet access, and Netflix subscriber base

- The eligible user base for Mobile Downloads, including mobile app users and plans/devices that support the feature

- Adoption assumptions for users who know about, trust, and regularly use downloads

- Frequency assumptions, including commuting, travel, school/work breaks, low-connectivity viewing, and weekend versus weekday behavior

- Genre fan behavior, such as bingeing, saving episodes ahead of travel, or downloading newly released content

- Sensitivity drivers, including data prices, storage limits, Wi-Fi access, content rights, localization, and competitive alternatives

- Sanity checks against broader Netflix engagement, mobile streaming behavior, and plausible daily active ratios

The goal is to produce a clear, defensible guesstimate with transparent assumptions, a logical calculation path, and a few sensitivity ranges that would help Netflix understand the potential scale and business relevance of Mobile Downloads usage in the chosen priority market.