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The Subscription Economy Dataset contains structured data on recurring revenue businesses such as SaaS platforms, streaming services, membership apps, and subscription-based companies.

It is designed to help learners, analysts, and business professionals understand how subscription models generate steady income and how customer retention affects growth.

📊 What’s Included in the Dataset

This dataset contains:

• Company ID (anonymous)

• Industry type (SaaS, Streaming, Fitness, Education, etc.)

• Subscription plan type (Basic, Premium, Enterprise)

• Monthly recurring revenue (MRR)

• Annual recurring revenue (ARR)

• Customer count

• Churn rate

• Customer acquisition cost (CAC)

• Customer lifetime value (CLV)

• Subscription duration

• Region

📈 What You Can Do With This Dataset

You can use this dataset for:

💰 Revenue Analysis

• Track recurring revenue growth

• Compare subscription tiers

• Analyze revenue stability

📉 Customer Retention Insights

• Measure churn rates

• Study customer lifetime value

• Identify retention patterns

🚀 Data Science Practice

• Build churn prediction models

• Analyze subscription growth trends

• Perform cohort analysis

🔍 Key Insights You Can Discover

By analyzing this dataset, you may find:

• Lower churn rates lead to higher long-term profitability

• Premium plans generate most of the revenue

• SaaS businesses grow faster than traditional models

• Customer retention is more important than acquisition

📦 Dataset Structure

Column

Description

Company ID

Unique identifier

Industry

Business category

Plan Type

Subscription tier

MRR

Monthly recurring revenue

ARR

Annual recurring revenue

Customers

Total subscribers

Churn Rate

% of users leaving

CAC

Cost to acquire customer

CLV

Lifetime value of customer

Duration

Average subscription length

Region

Geographic area

🛠️ Tools You Can Use

You can analyze this dataset using:

• Microsoft Excel

• Google Sheets

• Power BI

• Tableau

• Python (Pandas, NumPy, Scikit-learn)

🎯 Who This Dataset Is For

This dataset is ideal for:

• Data analysts

• SaaS founders

• Business students

• Financial analysts

• Product managers

🔍 Example Use Case

A beginner analyst can:

• Compare MRR across industries

• Analyze churn vs revenue relationship

• Visualize subscription growth trends

• Identify high-performing subscription models

📥 Download Dataset

👉 Access the full dataset here:

Download Free Subscription Economy Dataset - https://payhip.com/b/bKiIx

This dataset is securely hosted via Payhip for fast and reliable access.

🧠 Why This Dataset Matters

The subscription economy is one of the fastest-growing business models globally. Understanding recurring revenue systems helps businesses build stable and scalable income streams.

🔐 Important Notes

• This dataset is for educational and analytical use only

• No real company or customer data is included

• Data is structured for learning and research purposes

🚀 Related Datasets

• Digital Economy Dataset

• Fintech Analytics Dataset

• Startup & Small Business Dataset

• Affiliate Marketing Dataset