Spotify Business Model & Metrics Questions
Examines Spotify's business model, including revenue streams (subscription plans, advertising, and partnerships), pricing strategy, freemium versus premium dynamics, licensing considerations, and platform economics. Covers key performance indicators such as monthly active users, subscribers, churn, ARPU, customer lifetime value, growth metrics, and competitive positioning, along with strategic decisions around content licensing, podcasts, and monetization diversification.
EasyTechnical
0 practiced
Given a subscriptions table 'subscriptions(user_id, start_date DATE, end_date DATE NULLABLE, status VARCHAR)', write an ANSI SQL query to compute monthly churn rate for the last 12 months. Define churn as the percent of users active at the start of a month who are not active at the end of that month. Explain edge cases such as reactivations and partial-month subscriptions.
MediumBehavioral
0 practiced
Describe a time when marketing and finance requested conflicting dashboard features (marketing wanted funnel-level detail; finance required GAAP-aligned revenue figures). How did you prioritize the requests, negotiate trade-offs, and deliver a solution that satisfied both parties? Include your communication approach and measurable outcomes.
EasyTechnical
0 practiced
Define the DAU/MAU ratio and explain how product teams use it to measure stickiness for streaming services. Discuss scenarios where DAU/MAU may be misleading (e.g., bots, seasonality, high-session frequency among small user subsets) and how BI should complement it with other engagement metrics.
EasyTechnical
0 practiced
As a BI analyst, explain freemium vs premium dynamics for a streaming service like Spotify. Describe the key metrics you would track (e.g., conversion rate, trial-to-paid, ARPU differences, retention), the typical funnel stages you would instrument, and how these dynamics change reporting and experimentation priorities.
HardTechnical
0 practiced
Spotify aims to increase ad revenue by 20% in 12 months without increasing ads-per-hour for users. As a BI analyst propose a data-driven strategic plan that includes initiatives (e.g., better targeting to raise CPM, yield optimization, new ad formats), KPIs to track, A/B test designs, tooling/dashboards required, and a quarterly expected impact roadmap.
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