Churn: definition, calculation, and strategies to reduce customer loss

What is churn?

Definition of customer churn

Churn refers to theloss of customers over a given period.

In French, it is also referred to as the attrition rate, cancellation rate, or, more simply, customer loss.

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

• cancel their subscription;
• do not renew their contract;
• stop being a customer entirely.

Let's look at a simple example.

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

Its monthly customer churn is therefore 3%.

Churn can also be analyzed in terms of financial value. A company may lose relatively few customers but experience a sharp drop in revenue if the lost accounts represent its largest contracts.

This is why it is generally necessary to distinguish betweencustomer churn and revenue churn.

Why is churn a key performance indicator?

Churn provides a direct indication of a company's ability to retain the customers it has successfully acquired.

An increasing rate can indicate several issues:

• poor customer experience;
• underutilized product;
• mismatch between the offer and customer needs;
• more attractive competition;
• inadequate support;
• poor quality of acquired customers.

It therefore naturally complements acquisition metrics.

A company may have an excellent sales pipeline and consistently sign new contracts, but some of that growth will be immediately offset if existing customers leave the company at the same rate.

Churn allows you to view growth not only from the perspective of new customers entering the portfolio, but also from those leaving it.

The role of churn in company growth

Let’s look at two companies, each generating 100 new customers per month.

Company A loses 10 customers.

Company B loses 80.

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

Company A: +90 net customers.

Company B: +20 net customers.

Churn acts like a leak in a tank.

Continuously increasing the volume of new customers without reducing this leakage can become extremely costly.

This logic is particularly important for recurring revenue models: the better churn is controlled, the more existing revenue forms a stable foundation upon which new sales can truly build growth.

Good to know

A seemingly low monthly churn rate can have a major impact when it repeats. For example, losing 5% of a customer base each month results, through compounding, in the loss of about 46% of the initial cohort after one year, excluding new customers and reactivations. ChartMogul uses this exact example to illustrate the impact of recurring monthly churn.

What are the different types of churn?

Simply talking about a "churn rate" can mask several realities.

A useful analysis must at the very least distinguish between customer loss and revenue loss, and then identify whether the departure is voluntary or involuntary.

Customer churn

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

Loss of a customer or cancellation of a subscription

In a simple subscription model, the logic is relatively 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 who has multiple subscriptions but cancels only one;
• a customer who unsubscribes and then returns;
• a customer who switches to a free plan;
• a customer who only reduces their number of licenses.

It is therefore necessary to define exactly what the company considers a lost customer.

In specialized SaaS tools, a customer with multiple subscriptions may, for example, not be considered 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 just the number of customers.

Impact on recurring revenue

Let's look at two scenarios.

Scenario A

10 small customers at €100 per month cancel.

Loss: €1,000 in MRR.

Scenario B

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

Loss: €10,000 in MRR.

Customer churn is much higher in scenario A.

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

This is why subscription businesses often trackGross MRR Churn, which reports the MRR lost through cancellations and contractions against the MRR at the start of the period. ChartMogul also distinguishes Net MRR Churn, which accounts for expansion and reactivation revenue that offsets these losses.

Voluntary churn

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

Departure decided by the customer

The reasons can be numerous:

• price too high;
• insufficient value;
• unsuitable product;
• poor experience;
• strategic shift;
• switching to a competitor.

This type of churn primarily requires work on the product, the user experience, and customer relations.

You need to understandwhy the customer no longer finds the solution valuable enough to keep paying for it.

Involuntary churn

Involuntary churn occurs when a customer is lost without necessarily having made a conscious decision to cancel.

Payment failure or technical issues

The main causes include:

• expired credit card;
• declined payment;
• outdated payment details;
• technical issues during renewal.

This type of churn requires a different strategy.

For example, the company can implement:

• reminders;
• simplified payment method updates;
• automatic retries;
• pre-expiration notifications.

Recurly’s benchmarks clearly illustrate this distinction: their current data shows an overall churn rate of 3.27% for the subscriptions studied, with 2.41% being voluntary churn and 0.86% involuntary. While these figures are not a universal standard, they demonstrate that a significant portion of losses can stem from payment issues rather than an explicit customer decision.

Here is a summary:

How do you calculate the churn rate?

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

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 should not mask those who have left.

A company might start with 1,000 customers, lose 100, and acquire 150.

It ends with 1,050 customers.

Its base has grown, but its churn remains 10% for the initial cohort.

This separation is essential for correctly analyzing retention and acquisition.

Churn calculation example

Let’s take a SaaS company.

As of January 1st:

500 active customers.

During January:

15 customers cancel permanently.

The calculation becomes:

15 ÷ 500 × 100 = 3%.

The monthly customer churn rate is therefore3%.

Now, let's assume the 15 lost customers represented €6,000 in MRR and the company had €100,000 in MRR at the start of the month.

Its simplified gross revenue churn is:

6,000 ÷ 100,000 × 100 = 6%.

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

This indicates that the lost customers had a higher-than-average value.

How should you interpret a churn rate?

A rate should never be interpreted without context.

In particular, you should look at:

• trends compared to previous periods;
• customer segment;
• type of offer;
• customer tenure;
• contract value.

An overall churn of 4% can mask:

1% for large accounts and 8% for small businesses.

This segmentation immediately provides more information.

It may reveal that the product is a great fit for large organizations but much less so for small businesses.

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

Difference between monthly and annual churn

Monthly churn should not simply be multiplied by twelve to obtain an accurate annual measurement.

The remaining base decreases each 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 about 31% of its customers over twelve months if the same churn rate repeats and reactivations are ignored.

Good to know

Always specify the period when reporting churn. “Our churn is 4%” means nothing unless you know whether that is 4% per month, quarter, or year.

What is a good churn rate?

There is no universal rate that defines a "good" churn rate.

The right benchmark depends primarily on your business model.

Factors influencing acceptable churn

Several variables have a significant impact:

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

A B2B solution sold for €50,000 per year with a significant deployment process should generally retain its customers longer than a consumer app billed at a few euros per month that can be cancelled immediately.

Churn rates must therefore be compared against truly similar companies.

Differences by industry

SaaS

SaaS is likely the sector where churn is most consistently measured.

Aggregated data from ChartMogul across more than 2,500 SaaS companies shows how much size and revenue per customer influence benchmarks: the median monthly customer churn is 6.5% for companies with under $300k in ARR, compared to 3.7% for those between $1M and $3M, and approximately 3.1% for those over $8M in ARR. Churn also tends to decrease as ARPA increases.

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

A young B2C SaaS app and an enterprise software vendor cannot be compared directly.

For Oliverlist, the page dedicated to B2B SaaS prospecting further illustrates an environment where acquisition and retention must be analyzed together: continuously generating new accounts only compensates for poor retention in the long term if acquisition remains very strong.

Telecoms

In telecommunications, churn is heavily influenced by:

• contract length;
• promotions;
• network quality;
• competition;
• ease of switching providers.

A customer may leave their provider, for instance, when their contract ends or when a competitor offers a significantly lower price.

It is therefore particularly relevant to analyze churn by:

tenure + contract type + offer + renewal period.

E-commerce

In a traditional transactional e-commerce business, talking about churn can sometimes feel less natural.

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

Metrics such as:

• repurchase rate;
• purchase frequency;
• cohort retention;

can therefore be more relevant.

Shopify, for example, notes that a retention rate of 20% to 40% is often considered a healthy range in e-commerce, with significant variations depending on the product and sector. However, this figure should not be directly converted into a monthly churn benchmark, as the definitions are not the same.

Subscription services

For subscription services, churn is highly relevant once again.

Renewal frequency, price, and engagement level strongly influence the result.

Recurly data, for instance, shows an average global churn rate of 3.27% in their current benchmark of subscription-based companies, with significant differences depending on the sector and the type of churn.

Why compare your churn to your own history

Benchmarks are useful for getting a sense of scale.

But your best benchmark is often your own history.

Compare:

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

A drop from 5% to 3.5% can be an excellent improvement, even if a mature competitor is still posting better results.

Conversely, staying "at the industry average" is not reassuring if your churn is increasing quarter after quarter.

What are the main causes of churn?

Reducing churn first requires understanding why customers leave.

A poor customer experience

An accumulation of small frictions can gradually deteriorate the relationship.

For example:

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

A customer may perfectly appreciate the initial proposal but consider that the actual experience no longer justifies the effort required to continue.

A lack of perceived value

A customer rarely continues to pay solely because the product has many features.

They must perceive concrete value.

This value can be:

• time savings;
• increased revenue;
• cost reduction;
• risk mitigation;
• process simplification.

When the customer no longer clearly sees what they are getting in exchange for the price paid, the risk of churn increases.

The problem may stem from the product itself, but also from poor communication regarding the results achieved.

A product or service unsuited to the needs

Some churn sometimes originates even before the contract is signed.

A salesperson may have sold the offer to a company that did not truly fit the ideal customer profile.

The customer eventually discovers that:

• they are missing certain features;
• the product is too complex;
• their team does not actually need it.

In this case, churn becomes a signal that can be used to improve sales qualification.

You must therefore correlate cancellation data with acquisition sources and customer profiles.

Insufficient customer support

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

A customer stuck for several days on an essential feature can quickly jeopardize the entire relationship.

Support therefore plays a direct role in customer retention.

However, speed alone is not enough.

What customers really expect is a clear resolution and the feeling that they are being taken care of.

Poor communication with customers

A lack of contact can also lead to 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 value;
• adoption;
• visibility of new features;
• relationship with the company.

The arrival of a better competitor

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 isn't always a price reduction.

You need to understand what actually drives preference and then determine if the offer needs to evolve.

How can you reduce churn?

An effective strategy begins long before the customer clicks "cancel."

Improve customer onboarding

The first few weeks are often decisive.

The customer has just purchased but hasn't yet realized the promised value.

Onboarding must therefore enable them to achieve an initial result quickly.

It can include:

1. goal setting;
2. configuration;
3. training;
4. first use;
5. measuring the first success.

The longer the delay between signing and concrete value, the higher the risk of disengagement.

Identify at-risk customers

Not all customers require the same level of attention.

You must detect accounts showing negative signals.

For example:

• a sharp drop in usage;
• no connection ;
• repeated support requests ;
• decline in user numbers ;
• change of point of contact.

These signals can allow for intervention before the customer decides to cancel.

Implementing a customer success strategy

Customer Success adopts a proactive approach.

Its role is not just to solve problems as they arise.

It seeks to ensure that the customer actually achieves the expected result.

A strategy can include:

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

The relationship then becomes oriented toward the customer's success rather than just product usage.

Collecting and analyzing customer feedback

Customers who leave can provide particularly important information.

Set up:

• cancellation survey ;
• exit interview ;
• ticket analysis ;
• satisfaction survey.

The reasons must then be grouped together.

For example:

The goal is not just to count departures.

You must identify their structural causes.

Personalizing the customer relationship

A strategic account worth €100,000 per year should not necessarily receive the same follow-up as an individual user paying €20 per month.

Personalization can depend on:

• value ;
• need ;
• maturity ;
• risk.

It allows you to focus human resources where they truly create the most value.

Proposing tailored retention actions

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

But the solution must match the cause.

Price too high:a more suitable offer or a downgrade.

Poor adoption:training.

Missing feature:clarification or alternative.

Project temporarily on hold:pause.

Automatically offering 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 consistently churn more than others, the best retention action may sometimes be... to stop targeting them so aggressively at acquisition.

How can you anticipate churn?

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

Detecting early warning signs of disengagement

Certain behaviors can signal a deteriorating relationship.

Decreased product usage

A sharp drop in usage frequency may indicate:

• loss of interest;
• adoption issues;
• organizational changes.

The trend is often more telling than the absolute value.

A customer going from 100 actions per week to 20 should raise a red flag, even if they remain technically active.

Reduced interactions

A customer who used to attend meetings but has stopped responding may also be at risk.

This drop in contact is particularly significant when it occurs before a renewal.

Repeated complaints

An isolated ticket is normal.

However, a series of unresolved or recurring issues can significantly damage satisfaction.

The number and, more importantly, the nature of complaints must therefore be correlated with churn risk.

Using customer risk scoring

The company can build a simple score.

For example:

−20: no logins for 30 days

−15: usage drop of more than 50%

−10: multiple recent tickets

+20: high usage

+15: attended the last meeting

The score can then be used to create levels:

green: healthy relationship;

orange: monitoring;

red: priority intervention.

The model must remain understandable.

A highly sophisticated score that is impossible to explain to teams quickly loses its operational utility.

Setting up automated alerts

Certain conditions can trigger:

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

For example:

no usage for 21 days → alert.

This automation allows you to monitor a large database without requiring a daily manual analysis of every client.

Which metrics should you track alongside churn?

Churn becomes more valuable when analyzed alongside several complementary KPIs.

Customer retention rate

The retention rate measures the proportion of clients retained.

A simplified formula is:

Clients retained ÷ Clients at the start × 100.

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

For example:

churn = 5% → retention = 95%.

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

Customer Lifetime Value (CLV)

CLV estimates the value generated by a client throughout the entire duration of the relationship.

High churn mechanically reduces this duration.

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

CLV therefore directly links retention and profitability.

Net Promoter Score (NPS)

The NPS measures the likelihood of customers recommending the company.

It can provide a complementary indicator of satisfaction and loyalty.

However, it should not be used as an automatic predictor of churn.

A customer might give a high rating and leave a few months later for budgetary reasons.

NPS must therefore be cross-referenced with actual behavior.

Customer engagement rate

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

Indicators 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 the recurring monthly income.

It is particularly useful for tracking:

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

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

Annual Recurring Revenue (ARR)

ARR represents annualized recurring revenue.

It is primarily used by SaaS companies with recurring contracts.

Churn analysis helps determine what proportion of this revenue base is at risk of being lost.

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

Churn and customer retention

Reducing churn and improving retention share the same goal: keeping more value within your existing portfolio.

Why retention is more cost-effective than acquisition

Acquiring a new customer generally requires:

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

An existing customer, on the other hand, is already familiar with 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 specific study. This figure should be interpreted as a historical order of magnitude rather than a universal rule applicable to every business.

This obviously doesn't mean you should stop acquisition.

A business needs both.

A B2B lead generation strategy fuels growth in new accounts, while retention ensures that too much of that value doesn't disappear a few months later.

The role of customer success in reducing churn

Customer Success aims to intervene before a problem turns into a cancellation.

Its role can include:

• tracking goals;
• assisting with adoption;
• anticipating difficulties;
• identifying at-risk customers;
• demonstrating results.

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

How to increase customer value over time

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

When a customer achieves results, they can gradually:

• increase their usage;
• add users;
• adopt new features;
• purchase additional services.

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

This is precisely why net revenue churn and NRR metrics account for expansions: in high-performing models, growth from existing accounts can offset some or even all of the revenue lost to churn.

What tools should you use to track and reduce churn?

Technology should make it possible to centralize information and, most importantly, trigger actions early enough.

Customer CRM

A CRM can consolidate:

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

A well-structured customer profile helps centralize essential information and prevents it from being scattered across multiple files.

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

It can, for instance, keep track of renewal dates and follow-up actions.

Behavioral analytics tools

Analytics platforms allow you to observe:

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

This data helps build customer health signals.

A sudden drop in usage can trigger an intervention.

Customer success platforms

Specialized solutions allow you to centralize several dimensions:

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

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

Customer satisfaction survey tools

Surveys allow you to gather feedback directly.

They can be triggered:

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

Quantitative responses should ideally be accompanied by a space to explain the rating.

It is often in these verbatim comments that the most useful insights are found.

Mistakes to avoid in churn management

A company that simply measures the number of cancellations without changing its operations does not actually reduce its churn.

Waiting for the customer to leave before reacting

When a customer clicks "cancel," their decision may already be largely made.

The company must intervene earlier.

Monitor:

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

Retention must be proactive.

Focusing solely on acquisition

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

If 100 customers leave, just acquire 150.

This logic may work temporarily but becomes extremely costly as churn continues to rise.

A B2B lead generation agency peut aider à développer l’acquisition de nouveaux comptes, mais cette croissance doit idéalement s’appuyer sur une capacité solide à conserver les clients une fois acquis.

Les deux leviers doivent donc fonctionner ensemble.

Ne pas analyser les raisons de départ

Un churn global de 5 % indique le niveau du problème, mais pas sa cause.

Il faut classer les motifs.

Par exemple :

• prix ;
• support ;
• mauvais fit ;
• concurrence ;
• manque d’utilisation ;
• problème de paiement.

Cette segmentation transforme un KPI en plan d’action.

Ignorer les signaux faibles

La résiliation est un signal tardif.

Une diminution de l’utilisation trois mois auparavant aurait peut-être permis d’agir.

Construire quelques alertes simples peut donc être beaucoup plus efficace que d’attendre la demande de départ.

Proposer la même action à tous les clients

Un client qui trouve l’offre trop chère n’a pas le même problème qu’un utilisateur qui ne comprend pas le produit.

La réponse doit donc dépendre du motif.

FAQ sur le churn

Qu'est-ce que le churn ?

Le churn désigne la perte de clients ou de revenu sur une période donnée.

Il est particulièrement utilisé dans les entreprises fonctionnant avec des abonnements ou du revenu récurrent.

On distingue notamment :

• churn client ;
• churn revenu ;
• churn volontaire ;
• churn involontaire.

Le churn permet de mesurer la capacité d’une entreprise à conserver sa base existante.

Comment calculer le taux de churn ?

Une formule simple est :

Nombre de clients perdus pendant la période ÷ Nombre de clients présents au début de la période × 100.

Par exemple :

20 départs sur une base initiale de 500 clients donnent :

20 ÷ 500 × 100 = 4 % de churn.

Il faut toujours préciser la période : mensuelle, trimestrielle ou annuelle.

Quel est un bon taux de churn ?

Il n’existe pas de taux universel.

Le bon niveau dépend notamment :

• du secteur ;
• du prix ;
• du type de clientèle ;
• de la maturité ;
• de la durée des contrats.

Les données ChartMogul illustrent par exemple des différences importantes en SaaS : les entreprises aux revenus plus élevés et aux clients générant davantage d’ARPA affichent généralement un churn client plus faible.

La comparaison la plus utile reste donc :

votre churn actuel vs votre historique + des entreprises réellement comparables.

Comment réduire le churn client ?

Pour réduire le churn, commencez par identifier précisément les motifs de départ.

Travaillez ensuite sur les principaux facteurs :

• onboarding ;
• adoption ;
• Customer Success ;
• support ;
• qualité du ciblage ;
• communication ;
• valeur perçue.

Mettez également en place des alertes capables d’identifier les clients présentant une baisse d’utilisation ou d’engagement.

L’objectif est d’intervenir avant la résiliation plutôt qu’après.

Quelle différence entre churn et attrition client ?

Dans la pratique, les termeschurnetattrition clientsont souvent utilisés comme synonymes pour désigner la perte de clients.

Le mot churn est particulièrement courant dans les modèles SaaS, télécoms et abonnements.

Le terme attrition est plus général et peut également être employé dans d’autres contextes pour décrire une diminution progressive d’une population.

Pour mesurer une base clients, les deux expressions renvoient généralement à la même problématique :combien de clients cessent leur relation avec l’entreprise ?

Pourquoi le churn est important pour une entreprise ?

Le churn influence directement :

• croissance ;
• revenu récurrent ;
• rentabilité ;
• Customer Lifetime Value ;
• besoins d’acquisition.

Plus les clients restent longtemps, plus les nouvelles acquisitions viennent réellement développer la base existante.

À l’inverse, un churn important oblige l’entreprise à consacrer une partie croissante de ses efforts commerciaux à remplacer les clients perdus avant même de commencer à générer une véritable croissance nette.

Le churn ne doit donc pas être considéré comme un simple KPI de fidélisation. Il constitueun indicateur central de la capacité d’une entreprise à transformer ses acquisitions en revenu durable.