Corrily Analytics Modes explained
Corrily Platform provides multiple subproducts:
- Price Management Dashboard and API
- Paywall Builder (No-Code Paywalls)
- Analytics Platform
- Experimentation Platform
Corrily Analytics Platform aims to provide you with deep insights about your subscription metrics and company performance. It can be used separately from the rest of the Platform.
Corrily Analytics Platform can be used in two modes:
Billing Data Analytics(active by default and would work once you connect Stripe, Recurly, Chargebee or other billing platforms)
Billing & Users Data Analytics(provides more advanced analytics over your user flow, but requires you to start using Corrily Price Management API or Corrily Web- or Mobile- Paywalls)
This article explains
Billing Data Analytics metrics.
To learn more about
Billing & Users Data Analytics mode, please go to this page.
Billing Data Analytics Metrics Definition
All the metrics below are calculated based on the Billing Platform Data. Typically, Billing Platforms provides Customers, Subscriptions, Invoices and Transactions data, which is used to compute the metrics below.
Number of New Subscribers
Number of Customers who are starting a subscription for the first time, either a free, trialing or paid subscription
Number of New Trialing Subscribers
Number of Customers who are starting trials
Number of New Paying Subscribers
Numbers of Customers who started a paid subscription for the first time
Trialing to Paying Subscribers Conversion Rate
Percentage of trialing subscribers converting to paid subscribers
Monthly Recurring Revenue (MRR)
Total recurring revenue every month.
MRR is a measure of the predictable and recurring revenue components of the subscription business. It is a critical metric for subscription-based companies as it provides insight into the financial health and trajectory of the company.
Monthly Recurring Revenue Changes
Changes in MRR, including new MRR, Expansion, Contraction, and Churn
Average Revenue Per Subscriber (ARPS)
MRR, divided by the number of active subscribers
Average LTV per Subscriber
Expected lifetime value of a subscriber from sign-up to churn
LTV per Subscriber = ARPS / Percentage of Subscribers Churning
LTV is a prediction of the net profit attributed to the entire future relationship with a customer. It is important for understanding the long-term value of customer relationships.
Number of Active Subscribers
Number of Subscribers, active by the given date
Number of Subscribers Churning
Number of subscribers canceling their subscription
Percentage of Subscribers Churning
Percentage of active subscribers cancelling their subscriptions
MRR impact of churning subscribers
Percentage of MRR Churning
Percentage of total MRR churning