Exploring Listener and Subscription Data in Music Streaming with SQL Analytics
Group: Use Case
|Product Category: Database Design & Development
|Sub Category: PostgreSQL
About this Product
Maximize subscription revenue and discover user value using advanced SQL insights.
Business Overview:
Revenue Optimization and Subscription Analytics Using SQL equips you with practical tools to analyze user subscriptions, payments, churn risk, and overall customer value on a music streaming platform. Using realistic, relational data, you’ll write queries that reveal the behavior behind upgrades, payment preferences, and subscription lifecycles. This product is ideal for analysts and data professionals working on monetization, pricing, and retention strategies.
Product Highlights:
- In-depth PDF guide with 5 advanced SQL use cases for monetization and subscription metrics
- Realistic 25,000-row dataset with linked tables for users, payments, subscriptions, and listening history
- Use cases reflect business scenarios like price sensitivity, churn indicators, and ARPU segmentation
- Built for professionals in revenue analytics, digital products, and customer lifecycle management
- A strong portfolio piece for demonstrating SQL proficiency in SaaS, streaming, and subscription-based business models
Learning Outcomes:
By solving these use cases, you'll gain practical experience in:
- Writing complex SQL queries using JOINs, window functions, GROUP BY, HAVING, and CASE expressions
- Segmenting users by listening behavior and subscription tier to evaluate upgrade likelihood
- Calculating ARPU and churn risk by analyzing payment history and activity trends
- Applying time-based analytics to measure retention and lifecycle value
- Building monetization dashboards with KPIs like LTV, conversion rates, and payment effectiveness
- Deriving strategic pricing and engagement insights to support growth and retention
Resources
Description:
Logs user subscription history across different tiers and durations, supporting lifecycle tracking and retention metrics.
- Contains subscription IDs, types (e.g., free, premium), and start/end dates
- Enables churn risk scoring, upgrade/downgrade pattern analysis, and user segmentation
- Useful for modeling lifecycle value and tracking conversion events
- Works in conjunction with users and payments datasets for monetization tracking
Project Mentors
Similar Products
Product Performance Dataset
Topics: SQL, PostgreSQL, Retail Performance
Basic Professional Data Analysis
Topics: SQL, PostgreSQL, Data Quality Analysis
Restaurant Performance & Menu Optimization
Topics: SQL, PostgreSQL, Data Analytics
Similar Services
Finding the best experts for you...
No Services Yet
Expert services for this product will appear here once available.
Top User Reviews
Loading reviews...
Be the first to review this product!
Please try refreshing the page.