How to calculate ARR per customer in Bubble

Make the most of your Bubble data

What is ARR per customer ?

ARR per customer: is the total ARR divided by your total number of customers. It will allow you to measure whether your annual $ per customer is growing, meaning you're probably upselling or cross-selling your customer base.

What is Bubble ?

Bubble is the most powerful no-code platform, empowering entrepreneurs to build production-ready web apps.

How to calculate ARR per customer in Bubble ?

It can be difficult to calculate ARR per customer directly inside of Bubble; that's where Whaly comes in.

Whaly helps you build models on top of Bubble and many other solutions. You simply connect Whaly to your Bubble account, and then you can create your formula in Whaly to calculate your ARR per customer.

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
Benoit Prigent
Benoit Prigent
Co Founder / CPO @ Lokki
Whaly helped us create metrics on top of 6 data sources in a matter of days instead of months without technical knowledge required !!
Edouard Mascré
Edouard Mascré
Co Founder @ Pennylane
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.
Benjamin Cambier
Benjamin Cambier
Co Founder @ Mansa
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.
Quentin Lebret
Quentin Lebret
VP Operations @ Klox
Whaly gave us the tools to understand how our users consume our product and helped us create a better experience for our users.
Julio Cesar Rodriguez
Julio Cesar Rodriguez
Operation Automation Specialist @ Career Karma
Whaly helped us create actionable experience for our SDR based on data our data team has prepped for us in dbt.
Hugo Cornu
Hugo Cornu
Head of Growth @ Klox
Whaly helped us transform the way we work with data. We now back all our decision with data and can make informed decisions at any time