SaaS / Subscription Business Data Analysis
We introduce various data science methods and case studies for important KPI, data wrangling, visualization, statistics, machine learning, and other SaaS / Subscription businesses.
See how to calculate and analyze the metrics unique to subscription businesses.
Trial Tour
These are short hands-on tutorials where you can quickly learn how to create KPIs and analyze subscription business data.
This note explains how to calculate and visualize key business KPIs for subscription-based businesses using Exploratory.
This note explains how to process customer payment data and create a Layer Cake Chart to evaluate subscription business growth.
This note explains how to analyze conversion factors and build a Random Forest model to predict which prospects are likely to convert.
This note explains how to perform cohort analysis using subscription contract data to evaluate customer retention over time.
KPI
This section introduces key metrics that help you better understand the state of SaaS and subscription-based businesses.
This note explains revenue-related metrics such as MRR (Monthly Recurring Revenue), ARR (Annual Recurring Revenue), and New MRR.
This note explains metrics related to customer churn and retention, including churn rate, customer retention rate, and Net New MRR.
This note explains metrics related to revenue growth and reduction through customer upgrades and downgrades, such as Expansion MRR, Contraction MRR, and Net New MRR.
This note explains efficiency-focused revenue metrics, in particular the Net Revenue Retention (NRR) rate.
This note explains CLV (Customer Lifetime Value), a metric that represents the total revenue generated from a single customer.
This note explains the MRR Retention Rate, which measures how much recurring revenue is being retained over time.
This note explains the MRR Expansion Rate, a metric related to revenue growth from customer upgrades.
This note explains the Net MRR Churn Rate, which measures the extent of revenue loss from existing customers.
This note explains the Quick Ratio, a metric used to measure the efficiency of revenue growth.
This note explains ARPU (Average Revenue Per User), a metric that represents the average revenue per customer.
This note explains the Payback Period, a metric that shows how long it takes to recover customer acquisition costs.
This note explains Unit Economics, a commonly used metric framework in SaaS businesses.
Online Seminar
These are recordings of online seminars where you can learn analysis methods and practical insights for SaaS and subscription-based businesses.
This note explains how to prepare data and create a Layer Cake chart to analyze recurring revenue growth and customer retention.
This note explains how to use survival curves to analyze customer retention and churn trends across cohorts.
This note explains how to estimate Customer Lifetime Value (CLV) using survival curve data.
This note explains how to use Cox Regression and Random Survival Models to analyze the drivers of customer churn.
This note explains how to use survival curves to perform cohort analysis and monitor churn and retention more accurately.
How-To
These are step-by-step guides explaining data analysis methods for SaaS and subscription-based businesses.
This note explains three methods to calculate Customer Lifetime Value (CLV) for subscription businesses.
See how to calculate and analyze the metrics unique to subscription businesses.