What should Netflix build or buy to accelerate Recommendations at global scale

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.

Netflix wants to accelerate the quality, speed, and global relevance of its Recommendations experience, especially for casual viewers who open the app without a specific title in mind. In a market where users split attention across Disney+, YouTube, Prime Video, Max, TikTok, Apple TV+, local broadcasters, games, ads-supported streaming, and live content, discovery friction can directly affect engagement, retention, and perceived value.

You are asked to evaluate what Netflix should build internally versus buy or partner for in order to improve Recommendations at global scale. This is a strategy question, so focus on the market decision, strategic options, trade-offs, Netflix’s right to win, and the decision criteria that would guide investment.

Consider the full recommendation ecosystem: content metadata, personalization models, localization, user signals, creative assets, real-time ranking, cold-start discovery, cross-format recommendations, and operational scalability across markets. The answer should not simply name a technology; it should reason through where Netflix should own capabilities, where external assets could accelerate progress, and what risks or constraints may shape the choice.

The experience should consider:

- The target user segment, especially casual viewers with weak intent, limited session patience, or inconsistent viewing patterns.

- Recommendation surfaces across the Netflix journey, including homepage rows, search, previews, notifications, live content, games, and ad-supported experiences.

- Strategic options such as internal platform investment, acquisition, licensing, data partnerships, creator/content metadata tools, or regional recommendation capabilities.

- Trade-offs between speed to market, differentiation, cost, data advantage, model quality, privacy, brand trust, and long-term defensibility.

- Netflix’s right to win versus competitors with strong discovery loops, short-form engagement, social signals, or local-market depth.

- Global scale constraints, including language, culture, device diversity, catalog differences, bandwidth, regulation, and regional content preferences.

- Decision gates and risks, such as whether an external asset can integrate with Netflix’s systems, improve measurable outcomes, and avoid dependency or privacy concerns.

Your goal is to frame a clear strategic recommendation process for deciding what Netflix should build, buy, or partner for to strengthen Recommendations globally, while showing how you would evaluate business impact, competitive advantage, execution feasibility, and long-term product differentiation.