Corrily Analytics Modes explained
Corrily Platform provides multiple subproducts:
- Price Management Dashboard and API
- 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 platform)
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 the advanced
Billing & Users Data Analytics mode and it’s metrics.
To learn more about
Billing Data Analytics mode, please, go to this page.
Users and Billing Data Analytics Metrics Definition
Each of these metrics plays a vital role in analyzing the performance of a business, particularly those that operate on a subscription model or rely on website traffic for conversions and sales. They can help in making informed decisions about marketing, product development, customer service, and overall business strategy.
Number of Visitors
The total number of unique users who visit your pricing page.
Number of Signups
The count of new Users who have registered for an account on your website or platform.
Sign-ups are tracked by counting the number of completed registration forms or account creations. This metric is important for understanding the initial interest and the effectiveness of the registration process.
Number of New Trials
The count of users who begin a trial period for your service.
This is tracked by counting the number of users who have started a free or discounted trial period. It’s an important indicator of potential future paid users.
Number of New Paying Users
The percentage of visitors who sign up for an account out of the total number of visitors.
This metric measures the effectiveness of the site in encouraging visitors to sign up and is calculated by dividing the number of sign-ups by the total number of visitors and then multiplying by 100 to get a percentage.
Sign-up to Trial Conversion
The percentage of users who start a trial after signing up.
This conversion rate helps businesses understand how well they are converting new sign-ups into trial users.
Trial to Paid Conversion
Sign-up to Paid Conversion
The percentage of sign-ups that convert to paying customers.
This metric is crucial for understanding the effectiveness of the conversion funnel from initial interest to paid subscription.
Average Revenue Per Visitor (ARPV)
The average revenue generated per visitor to the website.
ARPV is calculated by dividing the total revenue generated in a time period by the total number of visitors in the same period. This metric helps in understanding the value each visitor brings to the business.
Average Revenue Per User (ARPU)
The average revenue received from each active user over a certain period.
ARPU is a measure of the revenue generated per user and is calculated by dividing the total revenue by the total number of users over a specific time frame. It’s an important metric for evaluating the revenue impact of user growth.
Average Revenue Per Paid User (ARPPU)
The average revenue generated from each paying user.
ARPPU focuses on the revenue from paying users only, excluding free or trial users, by dividing the total revenue from paid users by the number of paid users.
Users Life Time Value (Users LTV)
The total revenue a business can expect from a single User throughout their relationship
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.