User Retention Calculation For SaaS
Keeping your customers happy can make or break your business.
This is especially true in the SaaS world, where retention, not acquisition, is so strongly correlated with profitability.
SaaS companies will not survive in the long run without robust user retention strategies.
In this article, we’ll help you learn how to calculate your user retention rate using different methods and understand how it can influence the growth of your business.
Table of Contents
- What is user retention?
- How to calculate user retention
- User retention calculation formula
- Common mistakes in calculating user retention in SaaS
- Why is calculating user retention important?
- The relationship between user retention rate and growth in SaaS
- Final Thoughts
- User Retention Rate is the percentage of retained users over a specified period.
- There are three popular methods of calculating user retention – Classic, Range, and Rolling retention.
- Classic retention rate = number of users on Day N/ the number of users on Day 0.
- Range retention rate = number of users in a given time frame / number of users in an initial time frame of the same length.
- Rolling retention rate = number of users whose last day of activity is on or after Day N/ number of users on Day 0.
- Common mistakes in calculating user retention in SaaS include ignoring MRR retention, assuming canceled customers to be churned customers, and calculating retention without considering customer lifetime or subscription plans.
What is user retention?
User retention measures how many of your users continue to use your product over a given time frame. This time frame can be of any length, but is normally daily, weekly, or monthly.
You can find out how much of your total users you retained for a specific period using a metric called User Retention Rate, which denotes the percentage of users you retained.
How to calculate user retention
You’ll need to consider a few things before calculating user retention. Firstly, you’ll need to understand exactly what behavior counts as “using your product.” This can vary depending on your product, ranging from product purchases to feature updates.
The next thing you need to consider is the time frame on which you want to base your calculation. Again, this varies from product to product. If your product has a low frequency of usage, you might consider using a longer time frame, as that will help you avoid errors in measuring churn.
User retention calculation formula
There is more than one way of calculating user retention rate. We can outline the basic principle behind the calculation using the following formula:
3 ways to calculate user retention
As we mentioned earlier, what counts as product usage varies according to the product. So using a basic retention rate formula might be too simplistic for some businesses. In that case, you can use one of three popular methods of calculating user retention:
- Classic retention
- Range retention
- Rolling retention
Let’s look at each of these in turn.
1. Classic Retention
When calculating classic retention, the first day on which your customers use your app is considered “Day 0”.
Any day after Day 0 is considered Day N, where “N” is the number of days after Day 0. For example, when calculating retention for 4 days after Day 0, the value of N is 4.
Classic retention rate is calculated by dividing the number of users who used your app on Day N by the number of users who used your app on Day 0.
Here’s a scenario to help you better understand the classic retention calculation.
Let’s say 100 users used your app on Day 0. On the seventh day after day 0, 20 people came back. Later, 38 users returned on the 30th day.
According to the classic retention model, your retention rates for Day 7 and Day 30 are 20% and 38% respectively.
Classic retention is easy to calculate if you have day-to-day user activity data. However, it can often give a misplaced idea of user activity due to outliers on one or two days.
For example, suppose you are averaging the retention rates of multiple days to understand your day-to-day retention. In that case, these outliers can significantly increase or reduce the average value of that time period.
2. Range Retention
Range retention works similar to classic retention, except it involves a time frame spanning multiple days rather than a single day.
Most SaaS businesses calculating range retention rates use a 7-day or 30-day range.
After selecting a specific interval, range retention is calculated by dividing the number of customers who use the product during a time frame of that interval by the number of users who first used the app within an initial time frame of the same interval.
This might seem a bit confusing at first. Here’s a scenario to help you understand the calculation better.
Suppose you are using a 7-day interval, and users first opened your app on June 1. A total of 100 users use your app between June 1 – June 7. Then, between June 14 and June 21, a total of 55 users opened your app. Notice that both time frames have a 7-day interval.
Your range retention rate for June 14-21 is calculated as (55/100) = 55%.
Using the range retention rate makes it easier to find patterns over a longer period. It also smoothens the impact of day-to-day outliers. The key consideration here is to select the ideal range for your product and business model.
3. Rolling Retention
Rolling retention considers the retention of users on or after a specific day.
It’s therefore useful for gauging the long-term retention value of your users.
Remember how we previously called the nth day after Day 0 Day N?
You can calculate rolling retention by dividing the number of users whose last day of activity is on or after Day N by the number of users who first used the app on Day 0.
Let’s go back to the scenario of having 100 users use your app on Day 0. Following Day 0, 5 users use your app on the 7th day, and 30 more users use your app in the next 10 days.
If you consider Day 7 as your Nth day, the rolling retention rate will be = (5+30)/100 or 35%.
Keep in mind that each user will be counted only once, even if they come back multiple times after the Nth day.
Rolling retention rate helps you account for long-term retention based on only two data points. But it’s important to update this metric periodically as user activity grows.
Rolling retention can be quite limiting if used on its own, as it applies the same weight to the most and least active users.
Common mistakes in calculating user retention in SaaS
Ignoring MRR retention
Monthly recurring revenue (MRR) is the monthly revenue from subscription payments. Thus, MRR retention is the revenue retained from existing customers.
User retention and MRR retention are two different but highly interrelated metrics.
While user retention gives you an idea of how many customers you retained over a specific time period, MRR retention tells you how much revenue you retained from those users.
Only calculating user retention might not be an accurate reflection of profitability from retaining users. For example, if your product is expensive, the same retention rate will generate higher profits for you compared to less expensive products.
By combining both user retention and MRR retention, you can gauge the sustainability of your business in the long run.
Assuming that canceled customers are churned customers
Canceled customers are the users who are about to stop paying you from the next payment date, and churned customers are the ones who have already stopped paying you.
It’s easy to conflate these two groups of customers. But counting canceled customers as churned customers can be a costly mistake for your SaaS business.
You are losing your opportunity to win back a possibly dissatisfied customer if you already consider a canceled customer to be a churned one. While most canceled customers have the intention of churning, others might have canceled due to reasons such as bad user experience.
It’s crucial to communicate with your canceled customers and identify the reasons for cancellation. This provides you with valuable feedback, which you can work on to create a better experience for your users and possibly bring back the canceled customer.
Bringing back one or two canceled customers a month might not sound very appealing to you. But if neglected, these numbers can add up quickly over time and prove to be very damaging for your business.
Calculating retention without considering account age
A customer who has been using your product for a month is less likely to be retained than a customer using it for more than a year. And losing that long-term customer will do more damage to your business than losing the new one.
It, therefore, doesn’t make sense to put equal weight on all customers when benchmarking retention rates.
Instead, you can segment your customers based on their account age and set different benchmarks for each of them.
Setting different benchmarks will help you adopt tailored strategies for each cohort. This is essential as customers in different stages churn for different reasons.
Measuring retention rates separately for each customer group or cohort will also help you identify the reasons behind the increase or decrease in churn rates.
Suppose you recently introduced a new onboarding process that didn’t sit well with a particular group of customers and thus increased the churn rates among new users.
Your overall retention rate will go down. But if you measured retention rates for all users at once, it would be hard for you to find the exact reason for the sudden spike in churn rates.
Calculating retention rates without considering subscription plans
Customers using different tiers of your product are likely to have different churn rates. Calculating retention rates based on the subscription tier helps you understand the cost of losing these customers.
You might experience lower churn rates for customers who use expensive plans such as the “Enterprise” tier. These plans are purchased by organizations rather than individuals and generate the highest revenue for your business. Calculating retention rates by combining enterprise users with the rest of your users can provide misleading results.
Similar to segmenting users based on customer lifetime, grouping customers based on subscription tiers will help you craft better retention strategies for all groups of customers. For example, users of low-cost tiers may not have a significant concern about data security compared to the users of enterprise tiers.
So improving your security features may help you lower churn rates for enterprise users, but it will have little to no effect on other users.
Why is calculating user retention important?
It stands to reason that companies that retain their users for longer tend to have higher rates of customer satisfaction.
But improving retention also has a tangible effect on the bottom line.
Studies have found that user acquisition will cost you 5 -25x more than user retention. If you get a mere 5% boost in user retention rates, your business can experience a boost in revenue by 25-95%.
Let’s look at an example to illustrate the value of retention. Let’s assume that:
- You spend a total of $1500 to acquire each customer.
- Your MRR is $250
In this instance, it would take 6 months to recoup the cost of acquiring the customer.
But if you can only retain your customer for 3 months, then you’ll make a net loss of $750 from that customer account.
The relationship between user retention rate and growth in SaaS
SaaS companies with low retention rates essentially deal with a leaky bucket. They pour in huge sums of money to acquire customers, and then those customers churn before the company can recover the acquisition cost.
Research by SaaS Capital found a clear relationship between user retention and growth. The study established a strong link between a company’s retention rate and its ability to grow top-line revenue.
Other key takeaways from the study include:
- The relationship between retention and growth is one of causation, not just correlation.
- The great thing about growing through retention is that the effect of hanging onto customers compounds financially over time.
Of course, this doesn’t mean you need to stop acquiring new users. After all, who will you retain if you don’t have users in the first place?
The study rather calls for a greater emphasis on customer retention instead of obsessing over acquisition to achieve growth.
Final Thoughts On Retention Calculation
You can only solve a problem once you know that it exists. So your journey to improving retention rate begins with acknowledging that retention is important. Once you’ve understood that, take some time to calculate the retention rate and seek to continually improve it.