How to calculate Gross churn in Segment

Make the most of your Segment data

What is Gross churn ?

Gross churn is defined as the MRR (Monthly Recurring Revenue) lost in a given month divided by the MRR (Monthly Recurring Revenue) at the beginning of the month. This value is expressed as a percentage where as Net Churn is expressed as the difference between MRR (Monthly Recurring Revenue) lost in a given month and the MRR (Monthly Recurring Revenue) at the beginning of the month.

What is Segment ?

Segment is a customer data platform (CDP) that helps you collect, clean, and control your customer data. With 20,000+ businesses that use Segment's software and APIs to collect, clean, and control their customer data their are leader in their market.

How to calculate Gross churn in Segment ?

It can be difficult to calculate Gross churn directly inside of Segment; that's where Whaly comes in.

Whaly helps you build models on top of Segment and many other solutions. You simply connect Whaly to your Segment account, and then you can create your formula in Whaly to calculate your Gross churn.

How does Whaly work ?

01
Access all your data
No more manual import or stale data. Whaly automatically updates your data and is integrated to the tool you use to give you the most flexibility.
02
Build metrics like a pro
Use our state of the art studio to access your data, prepare your reports by cleaning and formatting your data. Combine your different sources to explore your data in a way you never had before.
Build your metrics
03
Visualize your data
Whaly offers best in class data visualization capabilities.
Visualize your data
Edouard Mascre
We leveraged Whaly on the Sales team to build and share dashboards with ton of partners without having to continuously update things on many spreadsheets. It also gives us deeper insights on sales activity. The dashboards built can be shared with everyone in the company. Whaly saves us hours of data wrangling every day.
Edouard Mascré
Co-Founder @ Pennylane
Benjamin Cambier
Mansa grew really fast in the past months and we were in urge of more precise metrics, especially for acquisition and deals analysis. Our engineering team was already swamped so we started our data analysis with Whaly. We compute our CAC per acquisition channel and understood at what stage the pipeline is under performing in minutes.
Benjamin CAMBIER
Co-Founder @ Mansa