Subscription Lifecycle & Monetization Metrics Dataset

Group: Dataset

Product Category: Database Design & Development

Sub Category: PostgreSQL

About this Product

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, and listening 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

Resources

1/4

user_listening_history

| CSV

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, and listen_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

subscriptions

| CSV

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

payments

| CSV

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, and payment_method
Enables MRR/ARR calculation and LTV segmentation

users

| CSV

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

32% OFF

Topics: SQL, PostgreSQL, Monetization Analytics

Languages: English

Skills: SQL, Churn Analysis, Subscription Metrics, Payment Tracking

Business Domain: Media and Entertainment

Level: Intermediate

$1.49 $1.00

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