How to calculate ARR per customer in Google Ads

Make the most of your Google Ads 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 Google Ads ?

Google Ads is an online advertising platform developed by Google, where advertisers bid to display brief advertisements, service offerings, product listings, or videos to web users. Get in front of customers when they’re searching for businesses like yours on Google Search and Maps and only pay for results, like clicks to your website or calls to your business.

How to calculate ARR per customer in Google Ads ?

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

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