How to calculate MRR (monthly recurring revenue) in Slack

Make the most of your Slack data

What is MRR (monthly recurring revenue) ?

Often, people will multiply one month’s all-in bookings by 12 to get to ARR. Common mistakes with this method include, counting non-recurring fees such as hardware, setup, installation, professional services/ consulting agreements and counting bookings.

What is Slack ?

Slack is a new way to communicate with your team. It's faster, better organized, and more secure than email. it offers many IRC-style features, including persistent chat rooms organized by topic, private groups, and direct messaging.

How to calculate MRR (monthly recurring revenue) in Slack ?

It can be difficult to calculate MRR (monthly recurring revenue) directly inside of Slack; that's where Whaly comes in.

Whaly helps you build models on top of Slack and many other solutions. You simply connect Whaly to your Slack account, and then you can create your formula in Whaly to calculate your MRR (monthly recurring revenue).

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