User Engagement Analytics Dashboard Using SQL
Group Category: Use Case
Product Category: Database Design & Development
Sub Category: PostgreSQL
Track user activity, retention, and engagement with SQL-powered dashboards.
Business Overview:
User Engagement Analytics Dashboard Using SQL helps you explore and report on critical engagement KPIs in a music streaming platform. You’ll use SQL to identify the most active users, analyze retention over time, compare free vs premium usage, and classify users into lifecycle segments. This product is ideal for analysts and product teams who want to drive engagement, retention, and subscription growth through data insights.
Product Highlights:
- Strategic PDF guide featuring 5 detailed use cases focused on user engagement and activity tracking
- Leverages real-world user listening, subscription, and genre interaction data (25,000+ rows)
- Includes advanced segmentation techniques to group users into New, Active, At-Risk, or Churned
- Designed for data analysts, growth teams, and SQL learners working in digital platforms
- A powerful portfolio piece demonstrating end-to-end engagement analytics using SQL
Learning Outcomes:
By solving these use cases, you'll gain practical experience in:
- Writing complex SQL queries using
JOINs,GROUP BY,HAVING, andwindow functions - Using date logic and
INTERVALto calculate retention windows and active timeframes - Segmenting users based on recent activity and building behavior-based user cohorts
- Analyzing listening habits across genres and subscription types
- Developing dashboards from SQL output that support engagement and reactivation strategies
Use Case Document
| PDFDescription:
This PDF presents a SQL-based approach to building a user engagement dashboard for a music streaming platform. It covers key behavioral analytics like listening frequency, retention patterns, subscription impact, and lifecycle segmentation.
- Includes multiple use cases with business goals, SQL techniques, and expected outcomes
- Helps analyze user activity trends, churn signals, and content engagement metrics
- Useful for designing re-engagement campaigns and enhancing subscription value
- Supports product teams and data analysts with actionable engagement KPIs
- Complements structured datasets covering users, listening history, subscriptions, and content metadata
song_genres
| CSVDescription:
This dataset links songs to their respective genres, adding classification and context to each track in the platform.
- Contains song and genre ID mappings
- Supports multi-genre tagging and genre diversity evaluation
- Essential for content discovery, filtering, and personalization engines
- Enables trend tracking across genre types and user preferences
- Complements song metadata, playlist creation, and listening analytics
user_listening_history
| CSVDescription:
This dataset logs timestamped listening events by users, offering deep insight into behavioral patterns and content engagement.
- Contains user IDs, song IDs, and playback timestamps
- Enables analysis of frequency, recency, and listening sessions
- Essential for engagement scoring, churn prediction, and session behavior tracking
- Supports segmentation of users based on usage intensity and time-of-day activity
- Complements subscriptions, payments, and user profile data
songs
| CSVDescription:
This file provides essential metadata for each song available on the platform, forming the core of the music content layer.
- Contains song IDs, titles, durations, and references to artists or albums
- Enables playback analytics, popularity tracking, and content classification
- Essential for powering recommendations, playlist logic, and engagement insights
- Supports integration with user behavior and genre tagging datasets
- Complements user interactions and monetization datasets
users
| CSVDescription:
This file holds key demographic and registration details of platform users, serving as a central entity in behavioral and subscription analysis.
- Contains user IDs, usernames, and registration timestamps
- Serves as a join key across listening activity, payment, and subscription datasets
- Enables user segmentation, retention analysis, and cohort creation
- Essential for personalized content delivery and lifecycle modeling
- Complements all behavioral, financial, and content-related datasets
$1.80 $1.40 22% OFF
About this Dataset:
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