Churn Rate: what it is and how to calculate it

Churn rate is the percentage of customers who end their relationship with a company over a given period. It is calculated by dividing the customers lost during the period by the customers at the start of that same period, multiplied by one hundred.

It is the mirror image of retention and, in recurring revenue models, the single figure that determines company value more than any acquisition metric. One percentage point less churn is worth more, over the medium term, than ten points of traffic growth.

What churn rate is

Churn rate, also known as customer attrition rate, measures the erosion of the existing customer base. It says nothing about how much a company is growing: it says how much of the growth achieved is retained.

This is why the figure carries balance-sheet relevance, not merely operational relevance. An organisation that acquires customers faster than it churns them keeps growing, but at an acquisition cost that rises steadily and becomes unsustainable if the structural problem is not addressed. Revenue growth can therefore mask, for several quarters, a deterioration of the customer base that will show up in the income statement only once acquisition spend has eroded the margin.

Measurement typically falls to management control or to the function that oversees commercial data, but interpretation is a matter for senior leadership: in recurring revenue models, churn is the variable that most directly determines the value attributed to the business at valuation, because it describes how defensible future revenue is.

How to calculate it: formula and example

The basic formula is as follows:

Churn rate = (customers lost in the period ÷ customers at the start of the period) × 100

A company that starts the month with 500 customers and loses 25 records a churn rate of 5%.

It should always be paired with a second measure, revenue churn, which replaces the number of customers with the economic value lost. The difference between the two figures is diagnostic: losing five customers worth a thousand euros each and losing one customer worth five thousand produces the same customer churn but very different revenue churn, and points to problems of opposite kinds. The first case signals difficulty in the lower segment of the base, the second the loss of a strategic relationship.

A recurring calculation error concerns conversion between periods. Monthly churn cannot be annualised by multiplying by twelve, because each month the loss applies to a base already reduced by the previous month. The correct formula is:

Annual churn = (1 − (1 − monthly churn)^12) × 100

With monthly churn of 5%, the correct annual figure is about 46%, not the 60% obtained by multiplying. Linear approximation significantly overstates the phenomenon and produces flawed forecasts across all multi-year horizons.

Voluntary and involuntary churn

The most useful distinction for operational purposes separates two phenomena that require entirely different responses.

Voluntary churn occurs when the customer actively decides to end the relationship: it is a problem of perceived value, product or relationship, and it is addressed through product, service and communication levers.

Involuntary churn occurs when the relationship ends without any decision by the customer, typically because of a failed payment: an expired card, insufficient funds, a technical error. It is an administrative problem, not a commercial one, and it offers the most favourable ratio between cost of intervention and achievable result, because a significant share of these customers would have stayed had the payment gone through.

Recurly network data updated to July 2026 show that voluntary churn is the dominant component across all sectors surveyed, but that involuntary churn still accounts for between a third and a quarter of the total, depending on the sector: in SaaS, out of total monthly churn of 3.22%, 1.06% is involuntary.

Benchmarks by sector

Defining an acceptable churn rate in absolute terms is a misleading exercise: the benchmark changes radically depending on the business model, contract length and the cost of switching supplier.

Source: Recurly network data, July 2026.

Two points emerge clearly. The first is that sectors with longer contracts and deeper integration into client processes record consistently lower rates: when a supplier is embedded in the daily workflow, switching cost itself becomes a retention factor. The second is that traditional e-commerce, where purchases are occasional rather than recurring, calls for a different metric: the repeat purchase rate, for which a value between 30% and 35% is considered solid for a store that has been trading for more than a year.

In any case, the most useful comparison is not with the sector benchmark but with your own historical series. Churn falling quarter on quarter across a growing customer base is the most reliable sign that the actions taken are working, regardless of the gap from the sector average.

Recurring causes

The reasons customers leave cluster into a few recurring categories, and most of them surface in the first weeks of the relationship.

The first factor is onboarding: when customers do not quickly reach the benefit they bought for, the likelihood of churn rises disproportionately. According to industry data collected by SubJolt in 2026, 44% of cancellations occur within the first 90 days, and companies that bring users to their first meaningful result within the first week record roughly half the churn of those that do not.

The second factor is the mismatch between commercial promise and product: a customer acquired with expectations higher than what the service actually delivers is a customer who will leave, and the problem originates upstream, in communication, not in customer support.

The third is the silent decline in usage. The customer does not complain; they simply use the product less until the expense no longer seems justified. It is the most insidious cause because it sends no explicit signals and can be detected only by monitoring behaviour, not through complaints.

How to reduce it

Effective levers follow the structure of the causes.

For involuntary churn, the intervention is technical and delivers the fastest return: proactive updating of expiring payment details, scheduled retry attempts, and timely communication with the customer before access is cut off.

For voluntary churn, the main lever is anticipation. A system that identifies disengaging customers before they decide to leave makes it possible to intervene while the relationship can still be recovered. Cohort analysis, which groups customers by acquisition date and tracks their behaviour at three, six, twelve and twenty-four months, is the diagnostic tool that shows not only how many customers are lost but at what point in the life cycle, distinguishing an onboarding problem from a long-term value problem.

One frequently overlooked lever is offering alternatives to cancellation. According to the State of Subscriptions 2026 report cited by Recurly, 38% of consumers prefer to pause rather than cancel, and brands that have introduced a pause option have seen a sharp rise in its use, with three in four subscribers returning in the following months.

Finally, contract structure: Recurly data indicate that almost one in four new subscriptions now comes from a previously cancelled customer, which makes reactivation one of the most cost-efficient acquisition channels for businesses with a mature customer base.

Churn rate and customer lifetime value

Churn directly determines the average length of the customer relationship and, consequently, the total economic value that customer generates. In its simplest form, average customer lifetime is the inverse of the churn rate: a monthly churn of 5% implies an average tenure of twenty months, while churn of 2.5% doubles it to forty.

This is the mechanism that makes churn more decisive than acquisition. Research by Frederick Reichheld for Bain & Company, among the most widely cited references on the subject, quantifies the advantage with two figures: acquiring a new customer costs five to twenty-five times more than retaining an existing one, and a 5% increase in retention can raise profits by between 25% and 95%, depending on the sector.

The issue is becoming a fixture among Italian companies’ priorities. According to the Casaleggio Associati report cited by Klaviyo in 2026, 44% of Italian e-commerce companies now consider customer loyalty a higher strategic priority than acquiring new customers, which stands at 41%: it is the first time the two have swapped places.

Reducing churn, however, cannot be isolated from the commercial function. A customer who leaves because of a mismatch between promise and product is a consistency problem, not a support problem, and it must be addressed upstream, where expectations are built. This is the remit of brand governance, which keeps what the organisation promises aligned with what it delivers at every touchpoint, and, further upstream, of advisory, which works on the structure of decisions before they become retention problems.

Measure and reduce your company’s churn

One percentage point less churn is not an operational improvement: it is an increase in the average length of the relationship with every customer, and therefore in the economic value of the entire base. This is why, in recurring revenue models, churn weighs on company valuation more than any acquisition metric.

Bliss Agency is the brand advisory firm with offices in Rome and Milan that works on aligning brand promise with the experience delivered, the variable that drives a significant share of voluntary churn. Contact Bliss Agency to analyse where your organisation is losing customers and act before acquisition costs absorb the margin.