Churn: definition, calculation and strategies to reduce customer loss

What is churn?

Definition of customer churn

Churn refers to the loss of customers over a given period.

It is also known as the attrition rate, the cancellation rate or, more simply, customer loss.

In a subscription model, a customer generally churns when they:

• cancel their subscription;
• don't renew their contract;
• stop being a customer altogether.

Let's take a simple example.

A company starts the month with 1,000 customers. During the month, 30 customers cancel their subscription.

Its monthly customer churn is therefore 3%.

Churn can also be analyzed in financial terms. A company can lose relatively few customers but suffer a sharp drop in revenue if the lost accounts are its largest contracts.

That's why you generally need to distinguish between customer churn and revenue churn.

Why is churn a key performance indicator?

Churn gives a direct indication of a company's ability to keep the customers it has managed to win.

A rising rate can reveal several problems:

• a poor customer experience;
• a product that isn't used enough;
• a mismatch between the offer and the need;
• a more attractive competitor;
• insufficient support;
• poor-quality customers acquired in the first place.

It therefore naturally complements acquisition metrics.

A company can have an excellent sales pipeline and regularly sign new contracts, but part of that growth will be wiped out immediately if existing customers leave at the same pace.

Churn lets you look at growth not only from the point where customers enter the portfolio, but also from the point where they leave it.

The role of churn in a company's growth

Take two companies that each win 100 new customers per month.

Company A loses 10 customers.

Company B loses 80.

On paper, both have exactly the same acquisition performance. Yet their net growth is completely different.

Company A: +90 net customers.

Company B: +20 net customers.

Churn therefore acts like a leak in a tank.

Constantly increasing the volume of new customers without plugging that leak can become extremely expensive.

This logic is especially important for recurring revenue models: the better churn is controlled, the more existing revenue forms a stable base on which new sales can genuinely build growth.

Good to know

A seemingly low monthly churn can have a big effect when it repeats. For example, losing 5% of a customer base every month adds up, through compounding, to losing around 46% of the initial cohort after one year, excluding new customers and reactivations. ChartMogul uses exactly this example to illustrate the impact of steady monthly churn.

What are the different types of churn?

Talking simply about "churn rate" can hide several realities.

A useful analysis should at least separate customer loss from revenue loss, then identify whether the departure is voluntary or involuntary.

Customer churn

Customer churn measures the number or proportion of customers lost during a period.

Losing a customer or cancelling a subscription

With a simple subscription, the logic is fairly clear.

A customer who is active at the start of the month and cancels permanently during the period is considered churned.

But some situations require a precise convention:

• a customer with several subscriptions who cancels only one;
• a customer who unsubscribes and then comes back;
• a customer who moves to a free plan;
• a customer who only reduces their number of licenses.

You therefore need to define exactly what the company considers a lost customer.

In specialized SaaS tools, for example, a customer with several subscriptions may not be counted as churned as long as at least one paid subscription remains active. The partial loss will instead be recorded as revenue contraction.

Revenue churn

Revenue churn measures the financial value lost rather than simply the number of customers.

Impact on recurring revenue

Let's look at two scenarios.

Scenario A

10 small customers paying €100 per month cancel.

Loss: €1,000 of MRR.

Scenario B

A single customer paying €10,000 per month cancels.

Loss: €10,000 of MRR.

Customer churn is much higher in scenario A.

But the economic impact is ten times greater in scenario B.

That's why subscription businesses often track Gross MRR Churn, which divides the MRR lost through cancellations and contractions by the MRR at the start of the period. ChartMogul also distinguishes Net MRR Churn, which takes into account the expansion and reactivation revenue that offsets these losses.

Voluntary churn

Voluntary churn occurs when the customer actively decides to end the relationship.

A departure decided by the customer

The reasons can be many:

• price too high;
• insufficient value;
• unsuitable product;
• poor experience;
• change of strategy;
• switching to a competitor.

This type of churn mainly calls for work on the product, the experience and the customer relationship.

You need to understand why the customer no longer considers the solution valuable enough to keep paying for it.

Involuntary churn

Involuntary churn happens when a customer is lost without necessarily having consciously decided to cancel.

Payment failure or technical problem

The main causes include:

• an expired credit card;
• a declined payment;
• outdated payment details;
• a technical problem at renewal.

This kind of churn calls for a different strategy.

The company can, for example, put in place:

• reminders;
• simplified payment method updates;
• automatic retries;
• notifications before cards expire.

Recurly's benchmarks illustrate this distinction well: their current dataset shows overall churn of 3.27% for the subscriptions studied, of which 2.41% is voluntary churn and 0.86% involuntary. These figures are not a universal standard, but they show that a significant share of losses can come from payment issues rather than from an explicit customer decision.

Here is a summary:

How do you calculate churn rate?

The formula must be consistent with the period and the type of churn being measured.

The customer churn rate formula

The simplified formula is:

Customer churn rate = Number of customers lost during the period ÷ Number of customers at the start of the period × 100

For example:

40 customers lost ÷ 1,000 customers at the start × 100 = 4% churn.

The number of new customers acquired during the same period must not mask the departures.

A company can start with 1,000 customers, lose 100 and win 150.

It ends with 1,050 customers.

Its base has grown, but its churn is still 10% of the initial cohort.

This separation is essential to analyze retention and acquisition correctly.

Churn calculation example

Let's take a SaaS company.

On January 1:

500 active customers.

During January:

15 customers cancel permanently.

The calculation becomes:

15 ÷ 500 × 100 = 3%.

The monthly customer churn rate is therefore 3%.

Now suppose the 15 lost customers represented €6,000 of MRR and the company had €100,000 of MRR at the start of the month.

Its simplified gross revenue churn is:

6,000 ÷ 100,000 × 100 = 6%.

The company therefore loses 3% of its customers but 6% of its revenue.

This shows that the lost customers were worth more than average.

How should you interpret a churn rate?

A rate should never be interpreted without context.

In particular, you need to look at:

• how it compares with previous periods;
• the customer segment;
• the type of offer;
• customer tenure;
• contract value.

An overall churn of 4% can hide:

1% among key accounts and 8% among small businesses.

This segmentation immediately provides more information.

It may reveal that the product suits large organizations very well but small businesses much less so.

Churn then also becomes an indicator of the quality of your sales targeting.

Monthly churn vs annual churn

Monthly churn shouldn't simply be multiplied by twelve to get an accurate annual figure.

The remaining base shrinks every month.

The theoretical annualization formula is:

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

For example, with 3% monthly churn:

1 − (0.97)^12 ≈ 30.6%.

In other words, a theoretical cohort loses around 31% of its customers over twelve months if the same churn repeats and reactivations are ignored.

Good to know

Always specify the period when you report churn. "Our churn is 4%" means nothing unless you know whether it is 4% per month, per quarter or per year.

What is a good churn rate?

There is no universal rate that tells you whether churn is "good".

The right comparison depends mainly on the business model.

Factors that influence acceptable churn

Several variables have a major impact:

• price;
• purchase frequency;
• contractual commitment;
• B2B or B2C profile;
• company maturity;
• average value per customer.

A B2B solution sold at €50,000 a year with a substantial rollout process should generally keep its customers longer than a consumer app billed a few euros a month that can be cancelled instantly.

Churn levels should therefore be compared with genuinely similar companies.

Differences by industry

SaaS

SaaS is probably the industry where churn is measured most systematically.

ChartMogul's aggregated data on more than 2,500 SaaS companies shows how strongly company size and revenue per customer influence benchmarks: the reported median monthly customer churn is 6.5% for companies under $300,000 in ARR, compared with 3.7% between $1M and $3M and around 3.1% above $8M in ARR. Churn also tends to fall as ARPA rises.

These figures show why it is dangerous to present "5%" as a magic threshold.

A young B2C SaaS app and an enterprise software vendor can't be compared directly.

At Oliverlist, the page dedicated to B2B SaaS prospecting illustrates an environment where acquisition and retention must be analyzed together: continuously generating new accounts only makes up for poor retention over time if acquisition stays very strong.

Telecoms

In telecommunications, churn is heavily influenced by:

• contract length;
• promotions;
• network quality;
• competition;
• how easy it is to switch operators.

A customer may leave their operator in particular when their contract ends or when a competing offer significantly cuts the price.

It is therefore especially relevant to analyze churn by:

tenure + contract type + offer + renewal period.

E-commerce

In classic transactional e-commerce, talking about churn is sometimes less natural.

A customer doesn't necessarily "cancel" the relationship: they simply stop buying.

Metrics such as:

• repeat purchase rate;
• purchase frequency;
• cohort retention;

may therefore be more relevant.

Shopify, for example, states that a retention rate of 20 to 40% is often considered a reasonable range in e-commerce, with significant variations depending on the product and industry. This figure should not, however, be turned directly into a monthly churn benchmark: the definitions are not the same.

Subscription services

For subscription services, churn becomes fully relevant again.

Renewal frequency, price and level of commitment strongly influence the result.

Recurly's data, for example, shows average overall churn of 3.27% in its current benchmark of subscription businesses, with large differences by industry and type of churn.

Why you should compare churn with your own history

Benchmarks are useful for getting an order of magnitude.

But your best benchmark is often your own history.

Compare:

• this month with previous months;
• each segment;
• each cohort;
• each offer;
• each acquisition channel.

A drop from 5% to 3.5% can be excellent progress even if a mature competitor still posts better results.

Conversely, staying "in line with the industry average" isn't reassuring if your churn rises quarter after quarter.

What are the main causes of churn?

Reducing churn starts with understanding why customers leave.

A poor customer experience

An accumulation of small frictions can gradually damage the relationship.

For example:

• a difficult interface;
• frequent bugs;
• confusing billing;
• lack of follow-up;
• long response times.

The customer may genuinely like the initial proposition but feel that the actual experience no longer justifies the effort needed to continue.

A lack of perceived value

A customer rarely keeps paying just because the product has lots of features.

They must perceive concrete value.

That value can be:

• time savings;
• higher revenue;
• lower costs;
• reduced risk;
• a simpler process.

When the customer no longer clearly sees what they get in return for the price they pay, the risk of churn increases.

The problem may come from the product itself, but also from poor communication of the results achieved.

A product or service that doesn't fit the need

Some churn actually originates before the contract is even signed.

A salesperson may have sold the offer to a company that didn't really match the ideal market.

The customer then ends up discovering that:

• certain features are missing;
• the product is too complex;
• their team doesn't really need it.

In this case, churn becomes a signal for improving sales qualification.

You therefore need to cross-reference cancellation data with acquisition sources and customer profiles.

Insufficient customer support

When a problem arises, the quality of support immediately becomes visible.

A customer left stuck for several days on an essential feature can quickly start questioning the whole relationship.

Support therefore plays a direct role in retention.

Speed alone isn't enough, though.

Above all, customers expect a clear resolution and a sense that their issue is being taken seriously.

Poor communication with customers

A lack of contact can also create churn.

Some customers gradually use the product less without anyone noticing.

Others are unaware of features that could meet their needs.

Good communication helps maintain:

• understanding of the value;
• adoption;
• visibility of new features;
• the relationship with the company.

A better competing alternative

Even a satisfied customer can be tempted by an alternative.

This can happen when a competitor offers:

• a better price;
• an important feature;
• a simpler experience;
• better integration.

The answer shouldn't always be a price cut.

You need to understand what is really driving the preference, then decide whether the offer should evolve.

How do you reduce churn?

An effective strategy starts well before the moment the customer clicks "cancel".

Improve customer onboarding

The first few weeks are often decisive.

The customer has just bought but hasn't yet obtained the promised value.

Onboarding should therefore help them reach a first result quickly.

It can include:

1. defining objectives;
2. configuration;
3. training;
4. first use;
5. measuring the first success.

The longer the gap between signature and concrete value, the higher the risk of disengagement.

Identify at-risk customers

Not all customers need the same level of attention.

You need to detect the accounts showing negative signals.

For example:

• a sharp drop in usage;
• no logins;
• repeated support requests;
• a falling number of users;
• a change of main contact.

These signals can make it possible to step in before the customer decides to cancel.

Build a customer success strategy

Customer Success takes a proactive approach.

Its role isn't just to solve problems when they arise.

It aims to make sure the customer actually achieves the expected result.

A strategy can include in particular:

• regular check-ins;
• objective reviews;
• adoption tracking;
• recommendations;
• results reviews.

The relationship then becomes focused on the customer's success rather than simply on product usage.

Collect and analyze customer feedback

Customers who leave can provide particularly important information.

Put in place:

• a cancellation questionnaire;
• exit interviews;
• ticket analysis;
• satisfaction surveys.

The reasons should then be grouped together.

For example:

The goal isn't just to count departures.

You need to identify their structural causes.

Personalize the customer relationship

A strategic account worth €100,000 a year doesn't necessarily need the same follow-up as an individual user paying €20 a month.

Personalization can depend on:

• value;
• need;
• maturity;
• risk.

It lets you focus human resources where they genuinely create the most value.

Offer suitable retention actions

When a customer wants to leave, several responses are possible.

But the solution must match the cause.

Price too high: a better-suited offer or a downgrade.

Poor adoption: training.

Missing feature: clarification or an alternative.

Project temporarily on hold: a pause.

Systematically granting a discount often masks the real problem.

Good to know

Churn should be linked back to the original sales data. When certain segments, channels or profiles systematically cancel more than others, the best retention action may sometimes be… to stop targeting them so aggressively at the acquisition stage.

How do you anticipate churn?

The best intervention is generally the one made before the customer has decided to leave.

Detect weak signals of disengagement

Some behaviors can signal that the relationship is deteriorating.

Declining product usage

A sharp drop in usage frequency can reveal:

• loss of interest;
• an adoption problem;
• an organizational change.

The change is often more telling than the absolute value.

A customer going from 100 actions a week to 20 should raise a flag even if they are technically still active.

Fewer interactions

A customer who used to attend meetings and no longer responds may also be at risk.

This drop in contact is particularly important when it happens ahead of a renewal.

Repeated complaints

An isolated ticket is normal.

A string of unresolved or recurring problems, however, can seriously damage satisfaction.

The number and above all the nature of complaints should therefore be linked to churn risk.

Use customer risk scoring

A company can build a simple score.

For example:

−20: no login for 30 days

−15: usage down by more than 50%

−10: several recent tickets

+20: heavy usage

+15: attended the last meeting

The score can then be used to create levels:

green: healthy relationship;

orange: monitor;

red: priority intervention.

The model must remain easy to understand.

An extremely sophisticated score that can't be explained to the teams quickly loses its operational value.

Set up automatic alerts

Certain conditions can trigger:

• a notification to Customer Success;
• the creation of a task;
• a customer email;
• a meeting request.

For example:

no usage for 21 days → alert.

This automation lets you monitor a large customer base without a daily manual review of every account.

Which metrics should you track alongside churn?

Churn becomes more valuable when it is analyzed alongside several complementary KPIs.

Customer retention rate

Retention rate measures the proportion of customers kept.

A simplified formula is:

Customers retained ÷ Customers at the start × 100.

In a simple framework, retention and churn are two sides of the same measure.

For example:

churn = 5% → retention = 95%.

ChartMogul also defines customer retention as the proportion of initial customers still active after the period analyzed.

Customer Lifetime Value (CLV)

CLV estimates the value a customer generates over the entire duration of the relationship.

High churn mechanically shortens that duration.

If an average customer stays 12 months instead of 36, their potential value drops sharply.

CLV therefore directly links retention and profitability.

Net Promoter Score (NPS)

NPS measures how likely customers are to recommend the company.

It can provide a complementary indicator of satisfaction and loyalty.

It should not, however, be used as an automatic predictor of churn.

A customer can give a high score and leave a few months later for budget reasons.

NPS should therefore be cross-referenced with actual behavior.

Customer engagement rate

Engagement measures how customers actually use the product or interact with the service.

The metrics can vary:

• logins;
• use of key features;
• frequency;
• active users.

A significant drop in engagement can be an early warning sign.

Monthly recurring revenue (MRR)

Monthly Recurring Revenue represents recurring revenue on a monthly basis.

It lets you track in particular:

• new MRR;
• expansion;
• contraction;
• churn.

This breakdown explains revenue movements far better than the final figure alone.

Annual recurring revenue (ARR)

ARR represents annualized recurring revenue.

It is used especially by SaaS companies with recurring contracts.

Churn analysis shows what proportion of this revenue base is at risk of disappearing.

For SaaS businesses, ChartMogul also recommends looking at Net Revenue Retention: when it exceeds 100%, expansion from existing customers offsets losses and contractions.

Churn and customer retention

Reducing churn and building loyalty pursue the same goal: keeping more value in the existing portfolio.

Why retention costs less than acquisition

Acquiring a new customer generally requires:

• marketing;
• prospecting;
• meetings;
• sales resources.

An existing customer, on the other hand, already knows the company and the product.

A frequently cited Harvard Business Review analysis estimates that acquiring a new customer can cost 5 to 25 times more than retaining an existing one, depending on the industry and the study. This figure should be read as a historical order of magnitude rather than a universal rule that applies to every company.

This obviously doesn't mean you should stop acquiring customers.

A company needs both.

A B2B lead generation strategy fuels growth with new accounts, while retention prevents too much of that value from disappearing a few months later.

The role of customer success in reducing churn

Customer Success aims to step in before a problem turns into a cancellation.

Its role can include:

• tracking objectives;
• supporting adoption;
• anticipating difficulties;
• identifying at-risk customers;
• demonstrating results.

Customer Success becomes particularly strategic when the contract value justifies hands-on human support.

How to increase customer value over time

Retention also makes it possible to create more value with existing customers.

When a customer gets results, they may gradually:

• increase their usage;
• add users;
• adopt new features;
• buy complementary services.

A company can thus grow its revenue without relying exclusively on new acquisitions.

That's precisely why net revenue churn and NRR metrics take expansion into account: in high-performing models, growth from existing accounts can offset part or even all of the revenue lost to churn.

Which tools should you use to track and reduce churn?

Technology should centralize information and, above all, trigger actions early enough.

Customer CRM

The CRM can bring together:

• customer information;
• history;
• contacts;
• renewals;
• tasks;
• contract value.

A well-structured customer record helps centralize essential information and avoid scattering it across several files.

For retention purposes, the CRM should be used beyond the sales phase.

In particular, it can store renewal dates and follow-up actions.

Behavioral analytics tools

Analytics platforms let you observe:

• logins;
• usage;
• frequency;
• feature adoption.

This information lets you build customer health signals.

A sudden drop in usage can then trigger an intervention.

Customer success platforms

Specialized solutions let you centralize several dimensions:

• health score;
• alerts;
• renewals;
• tasks;
• adoption.

They become particularly relevant when a Customer Success team manages a large portfolio.

Satisfaction survey tools

Surveys let you capture customer sentiment directly.

They can be triggered:

• after onboarding;
• after a support interaction;
• before renewal;
• after cancellation.

Quantitative answers should ideally come with a space where customers can explain their score.

These verbatim comments are often where the most useful insights are found.

Mistakes to avoid when managing churn

A company that simply counts cancellations without changing the way it operates won't really reduce its churn.

Waiting for the customer to leave before reacting

By the time a customer clicks "cancel", their decision may already be largely made.

The company needs to step in earlier.

Monitor:

• usage;
• satisfaction;
• support;
• the relationship.

Retention has to be proactive.

Focusing only on acquisition

A common reflex is to respond to customer losses by increasing sales volume.

If 100 customers leave, you just need to win 150.

This logic can work temporarily but becomes extremely expensive when churn keeps rising.

A B2B prospecting agency can help you grow the acquisition of new accounts, but that growth should ideally rest on a solid ability to keep customers once they are won.

The two levers must therefore work together.

Not analyzing the reasons for leaving

An overall churn of 5% tells you how big the problem is, but not what is causing it.

You need to categorize the reasons.

For example:

• price;
• support;
• poor fit;
• competition;
• lack of usage;
• payment problem.

This segmentation turns a KPI into an action plan.

Ignoring weak signals

Cancellation is a late signal.

A drop in usage three months earlier might have made it possible to act.

Setting up a few simple alerts can therefore be far more effective than waiting for the cancellation request.

Offering the same action to every customer

A customer who finds the offer too expensive doesn't have the same problem as a user who doesn't understand the product.

The response must therefore depend on the reason.

Churn FAQ

What is churn?

Churn refers to the loss of customers or revenue over a given period.

It is used especially by companies that run on subscriptions or recurring revenue.

The main distinctions are:

• customer churn;
• revenue churn;
• voluntary churn;
• involuntary churn.

Churn measures a company's ability to keep its existing customer base.

How do you calculate churn rate?

A simple formula is:

Number of customers lost during the period ÷ Number of customers at the start of the period × 100.

For example:

20 departures from an initial base of 500 customers give:

20 ÷ 500 × 100 = 4% churn.

Always specify the period: monthly, quarterly or annual.

What is a good churn rate?

There is no universal rate.

The right level depends in particular on:

• the industry;
• the price;
• the type of customers;
• company maturity;
• contract length.

ChartMogul's data, for example, shows significant differences in SaaS: companies with higher revenue and customers generating higher ARPA generally show lower customer churn.

The most useful comparison is therefore:

your current churn vs your own history + genuinely comparable companies.

How do you reduce customer churn?

To reduce churn, start by precisely identifying the reasons customers leave.

Then work on the main factors:

• onboarding;
• adoption;
• Customer Success;
• support;
• targeting quality;
• communication;
• perceived value.

Also set up alerts that can identify customers whose usage or engagement is dropping.

The goal is to step in before cancellation rather than after.

What is the difference between churn and customer attrition?

In practice, the terms churn and customer attrition are often used as synonyms to describe the loss of customers.

The word churn is especially common in SaaS, telecoms and subscription models.

Attrition is a more general term and can also be used in other contexts to describe a gradual decline in a population.

When measuring a customer base, both terms generally refer to the same question: how many customers end their relationship with the company?

Why does churn matter for a business?

Churn has a direct influence on:

• growth;
• recurring revenue;
• profitability;
• Customer Lifetime Value;
• acquisition needs.

The longer customers stay, the more new acquisitions genuinely grow the existing base.

Conversely, high churn forces a company to devote a growing share of its sales effort to replacing lost customers before it can even start generating real net growth.

Churn should therefore not be seen as just another retention KPI. It is a central indicator of a company's ability to turn its acquisitions into lasting revenue.