Group Category: Dataset
Product Category: Database Design & Development
Sub Category: PostgreSQL
Monitor subscription trends, reduce churn, and optimize revenue streams with structured, SQL-ready subscription datasets.
Business Overview:
This dataset focuses on subscription activity and payments within a music streaming platform. It helps track monetization, plan transitions, user retention, and recurring revenue, using clean relational structures.
Product Highlights:
- Structured CSV data including
users,subscriptions,payments, andlistening history - Designed to evaluate monetization trends and retention patterns
- Ready for SQL analytics and revenue-based segmentation
- Ideal for churn forecasting and LTV modeling
Learning Outcomes:
- Analyze free-to-paid conversions and payment consistency
- Measure churn rates and average revenue per user
- Practice cohort tracking using listening activity
- Model recurring revenue logic with SQL
Tracks every listening event by users, linking them to specific songs and timestamps. This file supports session analysis, listening trends, and behavioral modeling.
Key Features:
- Granular data including
user_id,song_id, andlisten_date - Enables analysis of repeat listens, time-based usage, and user activity frequency
- Ideal for calculating daily/weekly active users, retention curves, or song popularity
Stores subscription records including type, start and end dates for each user. This file supports lifecycle tracking, churn detection, and plan-based segmentation.
Key Features:
- Includes
user_id,subscription_type, and validity dates - Helps identify active, cancelled, and expired subscriptions
- Core for revenue modeling and retention analysis
Records all monetary transactions made by users, including amount, method, and date. Essential for financial reporting and revenue analytics.
Key Features:
- Links users and subscriptions to payment data
- Tracks
amount,payment_date, andpayment_method - Enables MRR/ARR calculation and LTV segmentation
Contains registered user information including personal identifiers, contact details, and subscription types. This file supports user segmentation, onboarding analysis, and account-based filtering.
Key Features:
- Records core user attributes such as
user_id,username,email, and subscription type - Can be used to group users by plan type (e.g., free vs paid)
- Ideal for building user cohorts or joining with behavioral or transactional tables
$1.49 $1.00 32% OFF
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