So many businesses spend most of their time understandably focusing on customer acquisition, trying to attract new clients and grow their overall monthly recurring revenue (MRR). And while acquiring new customers is valuable, you also want to make sure you’re retaining the ones that you already have.
Churn rate can show you how quickly you’re losing customers, and finding ways to reduce it can help you keep your retention rates (and MRR) high. So in this post, we’re going to go over everything you need to know about churn rate.
Churn rate is the rate at which customers stop purchasing from your business. For subscription businesses, your churn rate tells you what percentage of customers are unsubscribing from your product or services.
An example of revenue churn over a period of weeks
Many analytics programs can show you your churn rate and the specific number of customers who unsubscribed during a set time period.
This is a visualization of cancellations over a period of weeks
Churn rate is one of the most important growth metrics SaaS brands need to watch because it tells you much about customer retention.
Ultimately, it matters very little how many new customers you acquire if you’re struggling to keep them. High churn rates indicate either a misalignment with the clients you’re signing or a potential sticking point somewhere in your product, service, or processes that need to be resolved.
It’s also worth noting that it’s much cheaper to retain an existing customer than it is to acquire a new one. According to Harvest Business Review, it may actually be up to 25x more expensive to acquire a new customer. The last thing businesses want to do is invest significant funds into attracting customers only to lose them, especially to something preventable.
While all businesses have some churn, keeping it on the lower side is essential if you want to grow at scale.
There are ultimately an endless number of reasons why customers churn, but these are some of the most common:
Businesses can track several different types of churn rates, so let’s examine each.
Gross churn vs. net churn is an important distinction that differentiates between whether or not you’re looking strictly at churn or considering expansions in your calculations.
Gross revenue churn, for example, is the overall percentage of revenue that your business lost in a set period due to subscription cancellations or downgrades. This can include subscriptions that end due to failed payments.
Net revenue churn, however, is the percentage of revenue lost from existing customers during a set period while also factoring in upgrades and expansions. So, while some customers may have canceled or downgraded their subscriptions, others may have increased or expanded their monthly plan with you.
Net revenue churn over a period of weeks
It’s often a good idea to look at both metrics. Your gross revenue churn shows you exactly how much revenue you’re losing due to lost or downgraded customers, which is a vital metric to track. You don’t want to think fewer customers are churning than they really are.
That said, net churn is also important to track so you can understand the big picture of how some customers leave and others enthusiastically stick around. If some customers leave but others increase their plans or purchase prices, there’s plenty to learn from that.
Customer churn tells you the number of customers who have unsubscribed from your product or service, while revenue churn tells you how much revenue you lost during a set period.
Revenue churn is typically tied to customer churn, but it may also involve downgrades, subscription pauses, and outright cancellations.
Again, when it comes to customer churn vs. revenue churn, you want to track both. Each provides valuable quantitative data and valuable insights into what’s happening with your customer base.
You may realize that you’re only losing your lowest-value customers, for example, and that your highest-value customers actually retain the longest.
Churn MRR is the amount of monthly recurring revenue lost as a result of customer cancelations. This can be the sum of total lost revenue, but it can also be expressed as a percentage (this is your churn MRR rate).
Calculating exactly how much revenue you’re losing monthly due to churn— and not just seeing it as a percentage— is important for cash flow and financial purposes.
Involuntary churn occurs when a customer churns passively or accidentally. They may fail to realize that their credit card has expired, for example.
While this doesn’t seem as egregious as when customers choose to cancel— with many brands assuming customers will figure it out and come back around— it can have a huge impact on your business.
Having strategies and tools in place like Baremetrics Recover can help you prevent involuntary churn.
The basic churn rate formula divides the total number of lost customers or revenue (depending on what you’re calculating) by the total customers or revenue at the start of a time period and then multiplying that by 100.
So, let’s take a look at every formula you need for churn rate calculation.
(Lost customers during a set time period / Total customers at the start of a time period) x 100 = Customer churn
So if you started the quarter with 6,500 customers and 213 churned during the quarter, your churn rate would be:
(213 / 6,500) x 100 = 3.2%
(Lost revenue / Total revenue at the start of a time period) x 100 = Revenue churn
If you started the quarter with a monthly recurring revenue of $60,000 and you lost $3,000 in revenue monthly, your churn rate would be:
(3,000 / 60,000) x 100 = 5%
[(Churn MRR - Expansion MRR) / Total MRR at the start of the time period] x 100 = Net revenue churn
So if you lost $3,000 in MRR during a set time period from churn but also gained $2,000 in expansions and upgrades with a total MRR of $60,000 at the start of the period, your net revenue churn would be:
[(3,000-2,000) / 60,000] x 100 = 1.7%
A good churn rate depends largely on the industry in question, and for SaaS companies that magic number is ideally around 5-7%. Incredibly successful SaaS businesses may have churn rates at or under 2%.
When possible, you want to avoid churn rates of over 8%, especially when you’re actively focused on scaling your business.
New businesses may have higher churn, up to 15% churn in their first twelve months, so startups will want to be ready for that.
A churn analysis uses customer data to gain insight into what’s happening with your churn rate, including determining why customers are churning at the rate they are.
If you are unhappy with your churn rate, a churn analysis is the best solution to determine why your business is losing customers and what you can do to stop it (or at least reduce it).
A good churn analysis will involve churn prediction features (which we’ll discuss in the next section) and rely on both qualitative analytics data and qualitative survey data. Getting responses directly from churned customers can be essential to helping you determine why customers are leaving and what can be done about it.
See how to analyze churn for SaaS businesses.
While some customers churn quietly—as many as 97% of customers churn “silently” and never contact your customer support team—there are indicators of upcoming churn if you know where to look.
Churn prediction uses customers data or feedback to predict the likelihood that specific customers or groups of customers may discontinue their subscription moving forward. It also uses historical business trends.
Understanding why customers are churning is a crucial element here.
Baremetrics offers cancellation insight features to get the answers you need. When customers initiate the cancellation process, we’ll ask them what drove them to churn. We’ll analyze the data to help you spot trends that must be addressed promptly.
There are plenty of strategies to reduce churn, including the following:
Ultimately, using a reliable and subscription-focused revenue analytics tool is the best way to monitor (and therefore reduce) churn rate. You always want to know exactly what’s happening with your client base and growth.
Baremetrics can help. We monitor 28 subscription metrics, including MRR and churn rate, while helping you forecast revenue and understand why customers leave. This data can help you capture churned customers before they leave, keeping that revenue and retaining the customers.
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