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This metric summarizes subscription movements from one plan to another.
Explanation of metric
How it's measured
*Plan Movement Summary * = Total number of subscriptions moved from one plan to another
It does not include multiple plan changes within a month or in the month of activation.
Reading
There are no specific upward or downward trend indications.
Interpretation
Example
In a given period:
Number of subscriptions moved from In Trial to Launch plan = 100
Number of subscriptions moved from Launch to Scale Plan = 45
Number of subscriptions moved from Scale to Enterprise Plan = 75
Number of subscriptions moved from Enterprise to Scale Plan = 10
This metric summarizes subscription churn based on the days to cancel a subscription after sign-up or activation.
Explanation of metric
A table displays churn in buckets based on the activation date. It is available for current, previous, and last 12 months' cancellations for customers with active subscription terms of 7 days, 8-30 days, 31-90 days, and up to the last two years.
This report is available with RevenueStory Premium only.
How it's measured
Churn Breakdown Summary = Number of churned subscriptions per subscription term
The activation period can be 0-7, 8- 30, or 31-90. The Activation date is when the Subscription moves into active status on a free or paid plan.
Activation Periods:
Reading
There are no specific upward or downward trend indications.
Interpretation
This report helps to understand the stage at which cancellations happen. If the churn is high at a late stage, it indicates the product's inability to scale with the customer's growing needs. In this case, it is crucial to understand what features the customer would need as their business grows and implement those into your product's roadmap.
Example
For cancellations within the last 12 months:
This metric summarizes subscription churn based on the days to cancel a subscription post-signup.
Explanation of metric
A table breaks down churn into buckets based on the signup date. This report is available for current, previous, and last 12 months' cancellations for customers with active subscription terms of 7 days, 8-30 days, 31-90 days, and up to the previous 2 years.
How it's measured
Churn Breakdown Summary by Signup Date = Number of churned subscriptions per signup date
Reading
There are no specific upward or downward trend indications.
Interpretation
This report helps to understand the stage at which cancellations occur if churn is high. Early-stage churn (within the first 30 days) indicates a lack of product-market fit. This means the product doesn't do what it claims or is presented to an irrelevant audience. Hence, customers sign up to try it and end up churning quickly. In such cases, it is important to revisit the product positioning.
Example
For cancellations within the last 12 months:
This metric summarizes all paid overdue invoices, segmented by the number of days overdue.
Explanation of metric
A table shows paid overdue invoices categorized by the recovery period after the due date.
This report is available with RevenueStory Premium only. To enable this metric, contact support@chargebee.com
How it's measured
Receivables Recovery Summary = the number of invoices segmented by the number of days overdue after its due date.
Recovery periods are segmented into 0-30 days, 31-60 days, 61-90 days, and so on.
Reading
An upward trend in the receivables recovery summary is favorable for revenue performance.
Interpretation
This metric helps identify the recovery period for overdue invoices and can provide insights into the likelihood of churn. By analyzing this data alongside the AR aging report, you can pinpoint periods of increased churn risk and refine your collection strategies.
Example
In a given period:
This metric indicates how an existing set of subscriptions that were active 12 months ago has evolved now.
Explanation of metric
This chart represents the current Monthly Recurring Revenue (MRR) of the subscriptions active 12 months ago and how much it has expanded or contracted over this period.
How it's measured
Net Dollar Expansion = [(Total MRR during a period) - (Total MRR in previous period)]
Consider the previous period as subscriptions that were active 12 months ago.
Reading
An upward trend in net dollar expansion is advantageous.
Interpretation
This metric displays the growth of the existing customer base over the past 12 months. It helps to understand MRR retention and revenue expansion from current customers.
Example
In a given period,
Total MRR = $5,000
Total MRR 12 months ago = $3,000
So, the Net Dollar Expansion = (5,000 - 3,000) = $2,000
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