# How To Calculate ARR by Cohort in Freshsales | Arithmix

Learn how to calculate the Average Revenue per Customer (ARR) by Cohort in Freshsales with our step-by-step guide. Maximize your sales potential and gain valuable insights into your customer base.

Calculating ARR (Annual Recurring Revenue) by cohort can provide valuable insights into the performance of your business over time. By grouping customers based on the time they signed up for your product or service, you can analyze how their revenue contribution changes over time. In this article, we'll explore what ARR by cohort is, when it's valuable to calculate it, and how to do it in Freshsales.

## What Is ARR by Cohort?

ARR by cohort is a metric that shows how much revenue a group of customers generates over a specific period of time. The cohort is determined by the time the customers signed up for your product or service. By tracking the revenue generated by each cohort over time, you can see how their contribution changes as they continue to use your product or service.

For example, let's say you have two cohorts of customers: one that signed up in January and another that signed up in February. By calculating the ARR for each cohort, you can see how much revenue each group generated in their first year of using your product or service. You can then compare the two cohorts to see if there are any differences in their revenue contribution.

## When Is It Valuable To Calculate ARR by Cohort?

Additionally, if you're trying to identify areas where you can improve customer retention, analyzing cohorts can help you see if there are any groups of customers that are more likely to churn. By identifying these groups, you can take steps to improve their experience with your product or service and reduce churn.

## How to Calculate ARR by Cohort in Freshsales

To calculate ARR by cohort in Freshsales, you'll need to export your customer data and use a spreadsheet program like Microsoft Excel or Google Sheets. Here are the steps:

1. Export your customer data from Freshsales. To do this, go to the Contacts tab and click on the Export button. Choose the fields you want to export and select the date range for the cohort you want to analyze.
3. Create a new column for the cohort. To do this, use a formula that extracts the month and year from the date the customer signed up. For example, if the sign-up date is in cell A2, you can use the formula =TEXT(A2,"mmm-yyyy") to extract the month and year.
4. Group the data by cohort. To do this, use the PivotTable function in your spreadsheet program. Drag the cohort column to the Rows section and the revenue column to the Values section. This will give you the total revenue generated by each cohort.
5. Calculate the ARR for each cohort. To do this, divide the total revenue for each cohort by the number of customers in that cohort. This will give you the average revenue generated per customer for each cohort.

By following these steps, you can calculate the ARR for each cohort and analyze how their revenue contribution changes over time. This can provide valuable insights into the performance of your business and help you make more informed decisions about your marketing and sales strategies.

## How Do You Calculate ARR by Cohort in Freshsales

Freshsales itself isn’t naturally geared towards letting you calculate complex metrics like ARR by Cohort. As an alternative, teams typically use products like Arithmix to import data from Freshsales and build out dashboards.

## What is Arithmix?

Arithmix is the next generation spreadsheet - a collaborative, web-based platform for working with numbers that’s powerful yet easy to use. With Arithmix you can import data from systems like Freshsales, combine it with data from other systems, and create calculations like ARR by Cohort.

In Arithmix, data is organized into Tables and referenced by name, not by cell location like a spreadsheet, simplifying calculation creation. Data and calculations can be shared with others and re-used like building blocks, vastly streamlining analysis, model building, and reporting in a highly scalable and easy to maintain platform. Data can be edited, categorized (by dimensions) and freely pivoted. Calculations are automatically copied across a dimension - eliminating copy and paste of formulas.