Engagement Intelligence through Behavioral Analysis in Music Streaming with SQL
Group Category: Use Case
Product Category: Database Design & Development
Sub Category: PostgreSQL
Uncover platform stickiness and consumption intent through SQL-powered behavioral signal analysis.
Business Overview:
Engagement Signals in Music Streaming helps streaming platforms understand how users interact with songs, playlists, albums, and content curation features. The dataset tracks passive vs. active behaviors (such as liking but not listening), album completions, playlist diversity, and weekly traffic trends. These signals allow businesses to build personalization algorithms, spot high-potential content, and refine UX to improve retention.
Product Highlights:
- Detailed SQL scenarios for playlist diversity, album completion, and passive user identification
- Includes 5 behaviorally rich use cases derived from realistic music app structures
- Leverages key engagement signals to inform recommendation and content strategies
- Ideal for analysts, product managers, and data scientists working on content experience
- Schema involves user behavior, playlist activity, song and album metadata, and listening logs
Learning Outcomes:
By completing this product, you will:
- Use SQL to measure engagement intensity and user interaction patterns
- Learn to work with nested joins, CTEs, window functions, and day-based grouping
- Evaluate diversity metrics in playlists and passive engagement indicators
- Segment users based on content creation vs. consumption behaviors
- Build analytical models that support retention and content discovery strategies

$1.70 $1.15 32% OFF
About this Dataset:
Similar Products
Read All The Top User Reviews
Loading ratings and reviews...
No reviews yet
Be the first to review this product!
Error loading reviews
Please try refreshing the page.