Cohort analysis is one of the key ways to understand and reduce SaaS customer churn. Learn how to understand cohort analysis and use it to improve your SaaS metrics.
Cohort analysis is one of the key ways to understand and reduce SaaS customer churn, the rate at which customers cancel their subscriptions over time. However, there are many different sides to SaaS cohort analysis. Product managers, founders and product marketers can often feel at a loss once they need to categorize users into cohorts or crunch numbers.
At Churnkey, a tool for reducing SaaS churn through effective offboarding, we believe that cohort analysis shouldn’t be complex. It should be accessible to everyone — not just data scientists — who want to use analytics to grow their SaaS business.
In this article, we’ll provide a simple definition of what SaaS cohort analysis is, the different types of cohorts you can analyze, the importance of this sort of analysis, and how to use our features to help facilitate SaaS cohort analysis.
In product management, a cohort is a segment of customers sharing common traits and characteristics. Cohort analysis refers to the study of how these cohorts change over time, over your customer lifecycle. Here are some cohort types that you can analyze:
Of course, effective cohort analysis can be done in multiple stages and involve analyzing cohorts across several data points. For example, you might want to see the differences in spending behavior between customers from various subscription plans. This can then be followed by a time-based analysis to see which seasons have customers with the highest LTV and/or lowest churn rate.
SaaS cohort analysis provides an overall understanding of how customers use your features and helps you figure out how to grow as a business:
Analytics tools like Google Analytics and Panelbear provide insights into how customers interact with your domain and other analytics that can be used for customer cohort analysis. Onboarding and offboarding tools like Nickelled and Churnkey show how you can reduce churn and increase retention. Hotjar shows the online behavior of people on your website. All of these tools can significantly help reduce time, money and energy spent executing SaaS cohort analysis.
For example, in the image from Google Analytics, you can see the engagement rate of various time-based cohorts (February 2018) over a period of time (7 days). Essentially, the engagement rate dwindles as the days pass, but the February 22 cohort gets to 0% at the Day 7 mark, while all of the February 28 cohort leaves after the first day. You can triangulate these findings with other data to uncover insights behind this difference in engagement rate progression.
Using Churnkey, we’ll demonstrate how you can implement learnings from SaaS cohort analysis into your offboarding flow to prevent customers from canceling their subscriptions.
Here’s a scenario. Let’s say that you’ve discovered some behavioral insights from a very valuable cohort/segment that we’ll name “VIP”, who we define as:
Customers who have been subscribed for over a year and are on either of your two most expensive plans.
With our tools, you can define this cohort by entering relevant conditions. In this case, there are two main ones.
Churnkey automatically creates a new audience that you can use to build a unique cancel flow for this particular cohort/segment. You can send:
You can also integrate SaaS cohort analysis during the offboarding phase by simply asking customers why they’ve decided to stop using your product. Using their answers and insightful offboarding analytics, you can analyze and find ways to reduce churn for certain cohorts.
SaaS cohort analysis may be a cumbersome process, especially for marketers, product owners and founders who’d rather focus on initiatives that don’t involve getting deeply into data, but categorizing customers into cohorts reveals data that may help you scale business growth.
Finally, SaaS cohort analysis does not need to be needlessly complex or take hours to do. You don’t need to be a data scientist who can easily locate a number in a Sheets file with thousands of cells. You can use tools like Churnkey to significantly save time and energy when it comes to understanding why customers have stopped using your SaaS tool.
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