Corrily Analytics Modes explained

Corrily Platform provides multiple subproducts:

  1. Price Management Dashboard and API
  2. Paywall Builder (No-Code Paywalls)
  3. Analytics Platform
  4. 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.

Conversion Metrics

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

Revenue Metrics

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.

Retention Metrics

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 Churn

MRR impact of churning subscribers

Percentage of MRR Churning

Percentage of total MRR churning