How to calculate Gross churn in Pipedrive

Make the most of your Pipedrive 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 Pipedrive ?

Pipedrive wants to make it easier for small- and medium-sized businesses to better manage their sales pipeline, and drive more closed deals. It offers a clean and simple user interface that lets users start adding information and managing deals almost immediately.

How to calculate Gross churn in Pipedrive ?

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

Whaly helps you build models on top of Pipedrive and many other solutions. You simply connect Whaly to your Pipedrive 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