If you want to understand whether your SaaS company will rise or die soon, you first need to conduct a customer retention analysis to look at important growth metrics.
This data will help you understand how and why users churn.
This article covers everything you need to know about getting started with retention analysis and how to use the insights to reduce churn.
Let’s get started.
- Retention analysis allows you to understand customer behavior when it comes to using and abandoning your product so you can maintain healthy growth through constantly improving retention.
- Before conducting customer retention analysis, define and exclude inactive users. Focus on retaining your power users by first understanding their behavior.
- Look at active users’ behavior and understand their engagement so you have a starting point of what needs to be improved.
Perform a retention analysis using:
- Cohort analysis to detect which user cohort churns the most over a defined period (usually a year).
- Funnel analysis to understand steps in the customer journey that gets users to drop off.
- A customer engagement score will help you anticipate churn by tracking users’ activity and signalling when they become disengaged.
- Implement an NPS survey to identify detractors and patterns associated with low NPS scores.
- Use micro surveys to collect customer feedback on specific features of the product and improve based on user insights.
- Think about incorporating exit surveys to gather data on why users churn.
- Act on your retention analysis insights and boost retention with Userpilot. Get a personal demo to see how you can apply the strategies discussed here and reduce churn.
What is retention analysis?
Retention analysis allows you to understand customer behavior when it comes to using and abandoning your product so you can maintain healthy growth through constantly improving retention.
Tracking customer behavior will get you insights into :
- What’s the average customer lifecycle?
- What’s your customer retention rate?
- What customer segments churn within the first months?
- What makes customers stick around longer?
- How to improve users’ satisfaction and reduce customer churn.
What does a retention analyst do?
A retention analyst is responsible for sustainable business growth by retaining customers. Their goal is to figure out why users are leaving the product and how to prevent it.
Among their tasks are:
- Work with large data set of customer behavior analytics to understand churned customer behavior.
- Measure user stickiness around the product (how many customers return to your product because it’s engaging and valuable to them).
- Design and implement customer retention strategies that increase the customer lifetime value.
How do you measure retention?
Every product faces churn. It’s inevitable. Sometimes users sign-up just to hang around for five minutes or buy the cheapest plan to solve a one-time task, then never return.
Yet our goal is to increase the number of customers who continue to use your product month after month.
Before starting to analyze customer retention, you first need to understand what customer success looks like for your users using your product.
Let’s learn how to prepare proper data sets for accurate retention analysis.
Define active vs. inactive users
The first step toward customer retention analysis is defining what inactive users are and excluding them.
This will help you focus your analysis on power users.
Just for recalling:
- Active users are those who constantly engage with your core product features and have a high customer engagement score.
- Inactive users remain are the ones who suddenly stop engaging with your product.
Defining what active means will be different depending on your product and how it was meant to be used.
For example, if you have an invoicing tool, you won’t count active users based on the number of logins, as the user might only need to issue one invoice in a month.
Active users also mean engaged users. But what are the features they are mostly engaging with?
Once you understand this, you pretty much understand what’s bringing value to them.
A user getting value from your product is going to return and continuously take the same actions that brought him value.
You’ll want to track how users are performing those actions in your retention analysis.
Calculate retention rate
Now that you understand entirely what active users stand for, you calculate the retention rate. This will be your starting point for what you will be looking to improve.
Divide the number of paying customers at the end of the time period (usually a month) by the total number of paying customers at the beginning of that period. Next, multiply the result by 100. Thus you will get the retention rate in percentage.
For example, 1375/1547×100 equal 89% (customer retention rate).
This is the simplest way to calculate the overall retention rate.
Now you’re ready to create more structured and insightful reports.
What is a retention process?
The retention process involves multiple tracking and analysis reports. Each gives you different insights to act on to prevent churn when monitored continuously.
We’ll go through three important ones:
- Retention analysis using cohort analysis (retention cohort report)
- Pick retention analysis using funnel analysis to understand where users drop off
- Retention analysis using customer engagement score
Retention analysis using cohort analysis (retention cohort report)?
Cohort analysis tracks customer lifecycle over a defined period (usually twelve months) to detect a “sensitive” month when most paying users stop using the product.
A cohort analysis report also helps you detect retention rate fluctuations:
- What month do adopted users drop off the most?
- How many new users leave after the first month of engaging with your product?
- What user cohort sticks or churns the most?
We’ve talked in more detail about performing a cohort analysis, so here is a short recap of what insights you can get:
- Overall, what is the stickiness of your product? Is your current product version viable?
- How many new customers do you need to acquire every month to remain profitable?
- Do marketing campaigns attract qualified prospects?
- Look out if product updates you made (new feature releases, major bug fixes, etc.) lead to the recurring revenue growth.
As for final words, I’ll highlight that conducting cohort analysis is of paramount importance for keeping your SaaS business alive and lucrative.
Retention analysis using funnel analysis to understand where users drop off
The next crucial thing to analyze is how users progress through their journey. Thanks to different funnel analytics tools, you can detect what steps cause friction in the user flow.
For instance, Google Analytics shows how users navigate your website and map their behavior.
When set up, the tools gather data on how customers evolve through their journey and how they reach specific milestones.
To illustrate, below is an example of a funnel analysis of a signup flow. As you probably noticed, many users drop off when moving to Question 3.
Armed with these insights you now know what needs to be improved in order to increase retention.
Besides the Mixpanel funnel, there’s an additional way to track in-app engagement — goal tracking.
Use it when you need to understand how users engage with your core features and when they reach a milestone.
Build the product funnel using Userpilot’s goal tracking tool and check conversion rates at each step to identify friction points.
Retention analysis using customer engagement score
A customer engagement score shows you how healthy your customers are. In other words, assigning a score to their engagement lets you understand early signs of churn.
The engagement score takes into account users’ interactions with your product’s key features and calculated a score for each user.
To find out your customers’ engagement score, follow these steps:
- Identify key events and define what engagement means for your product
- Assign an engagement score to each completed event
- Calculate the event value for each event (multiply the event value by the number of times the user performs that action)
- Then sum up the totals for each user based on the actions they perform and how they engage with your product.
We’ve covered the main ways to perform a retention analysis, now let’s look at some ways you can use those insights to reduce churn.
Customer retention strategies
Here are four effective customer retention strategies you should try implementing in your SaaS to drive growth.
Identify potential churn and retention patterns to drive growth
To do so, always ask a qualitative question to understand why users give you a certain score. Go through the answers and tag specific words they use.
You can do this using a product adoption tool like Userpilot.
Once you’ve applied tags, you can identify patterns associated with low NPS scores. For example, ”missing features” and ”too expensive” are two reasons for a low NPS and could also be the cause of churn.
Reach out to those users and offer help, maybe the features they are missing actually exist in your product or are on your roadmap.
Plus, pay attention to how promoters engage with your product. Which features do they use? What makes customers happy and drives stickiness?
Create in-app guidances to help others discover and engage with those features.
Increase customer satisfaction and drive retention with feedback surveys
Use in-app microsurveys to collect contextual customers’ opinions toward particular features.
For example, run feature feedback surveys with an open-ended question after a new feature release to see if users like it or not.
Use churn surveys to understand why users leave and improve
Implementing exit surveys will help you understand the main reason users churn.
This is called user offboarding. You not only understand why they leave, but you also get the chance to offer them an alternative to churning.
Here’s a great example of Asana’s exit survey that tries to save users by offering a reduced price for ones who clicked “It’s too expensive.”
First, they frame the reason why a customer is about to leave.
Next, they show a personalized alternative based on the user’s answer to the first question.
Offer in-app self-service support
Adding a help widget can increase customer retention as users will have access to self-service support when they need it instead of waiting to get answers from your support team.
An in-app resource center can equip your users with multiple resources to facilitate problem-solving — documentation articles, guides, video tutorials, access to chatbot support, etc.
You can easily build this inside your product and add resources relevant to your users, using Userpilot. Here’s how it might look.
Knowing your customer’s lifetime value or what user segment generates you big money is essential for your business to survive.
Conduct customer retention analysis and make your customers stick with you for good. For more resources, see our top 7 customer retention strategies post!
Ready to act on your retention analysis insights? Get a Userpilot Demo and get started.