How To Calculate Customer Cohort analysis in MultiView | Arithmix

Customer Cohort analysis is a powerful tool that can help businesses understand the behavior of their customers over time. By grouping customers based on shared characteristics, such as the date they first made a purchase or their geographic location, businesses can gain valuable insights into customer retention, acquisition, and lifetime value. In this article, we will explore what Customer Cohort analysis is, when it is valuable to calculate it, and how to do it in MultiView.

What Is Customer Cohort analysis?

Customer Cohort analysis is a method of grouping customers based on shared characteristics and analyzing their behavior over time. The goal of Customer Cohort analysis is to identify patterns and trends in customer behavior that can help businesses make better decisions about marketing, product development, and customer service. For example, a business might group customers based on the month they first made a purchase and then track their repeat purchase rates over time. This can help the business identify which cohorts are most loyal and which ones are at risk of churning.

Customer Cohort analysis can be done using a variety of metrics, such as revenue, order frequency, or customer lifetime value. By analyzing these metrics across different cohorts, businesses can gain insights into how customer behavior changes over time and what factors influence it.

When Is It Valuable To Calculate Customer Cohort analysis?

Customer Cohort analysis is valuable for any business that wants to better understand its customers and improve its marketing and customer service efforts. Here are some specific scenarios where Customer Cohort analysis can be particularly useful:

• Customer retention: By analyzing the behavior of different customer cohorts over time, businesses can identify which cohorts are most likely to churn and take steps to retain them.
• Customer acquisition: Customer Cohort analysis can help businesses identify which marketing channels are most effective at acquiring new customers and which ones are not worth the investment.
• Product development: By analyzing the behavior of different customer cohorts, businesses can identify which products or features are most popular among different segments of their customer base.
• Customer lifetime value: Customer Cohort analysis can help businesses identify which customer cohorts are most valuable over the long term and focus their marketing efforts on retaining and upselling those customers.

How to Calculate Customer Cohort analysis in MultiView

MultiView is a powerful analytics tool that can help businesses calculate Customer Cohort analysis quickly and easily. Here are the steps to follow:

1. Define your cohorts: Decide which characteristics you want to use to group your customers, such as the month they first made a purchase or their geographic location.
2. Calculate your metrics: Choose the metrics you want to analyze, such as revenue, order frequency, or customer lifetime value, and calculate them for each cohort.
3. Create a Cohort analysis report: Use MultiView's reporting features to create a Cohort analysis report that visualizes your data and highlights trends and patterns over time.
4. Analyze your results: Use the insights from your Cohort analysis report to make data-driven decisions about marketing, product development, and customer service.

By following these steps, businesses can gain valuable insights into their customers' behavior over time and use that information to improve their bottom line. Customer Cohort analysis is a powerful tool that every business should consider using to better understand its customers and make data-driven decisions.

How Do You Calculate Customer Cohort analysis in MultiView

MultiView itself isn’t naturally geared towards letting you calculate complex metrics like Customer Cohort analysis. As an alternative, teams typically use products like Arithmix to import data from MultiView 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 MultiView, combine it with data from other systems, and create calculations like Customer Cohort analysis.

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.

Arithmix is fully collaborative, giving your entire team access to your numbers and the ability to work together seamlessly.

Calculating Customer Cohort analysis in Arithmix

Calculating metrics like Customer Cohort analysis is simple in Arithmix. Once you've created your free account, you’ll be able to import your MultiView data, and use it to create natural language formulas for metrics like Customer Cohort analysis.

Arithmix is designed to give you the power to build any calculations you want on top of your MultiView data, while also being easy to use and collaborate on. You can share your dashboards with users inside and outside of your organisation, making it easy to empower your whole team.