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Logo Churn

What is Logo Churn?

Logo churn is the share of customer accounts lost over a period, counting each account once regardless of what it paid. It is the customer-count view of churn, and comparing it to revenue churn reveals whether the accounts leaving are larger or smaller than average — the two rates diverging is usually more informative than either level on its own.

Formula

Logo Churn = Accounts Lost in Period ÷ Accounts at Start of Period × 100

Accounts Lost
Accounts active at the start that were fully cancelled by the end. Downgrades do not count — the logo is still there
Accounts at Start
Paying accounts on day one, excluding trials and free plans. One account per customer, not per subscription

Worked example

A B2B business starting the quarter with 480 accounts and $96,000 MRR, which loses 18 accounts worth $6,240.

Step-by-step calculation of Logo Churn
StepValue
1Accounts at start of quarter480
2Accounts lost18
3Logo churn3.75%
4MRR at start of quarter$96,000
5MRR lost to those cancellations$6,240
6Revenue churn6.50%
7Average MRR per account$200.00
8Average MRR per churned account$346.67

Result

Logo churn is 3.75% and revenue churn is 6.50%. The accounts that left were worth 1.7x the average, so a logo-only dashboard reported this quarter as roughly half as bad as it was.

Why count logos at all

Revenue churn is the figure that matters to the P&L, so the reasonable question is why track accounts separately. Three reasons.

First, logo churn is the honest measure of product-market fit. Revenue churn is weighted by price, so a business can hold revenue steady while steadily failing most of its customers — the small ones simply do not move the number. Logo churn treats every customer as one customer, and a rising logo churn rate against flat revenue churn is an early signal that the bottom of your base has stopped succeeding with the product.

Second, it is the input to the LTV formula. Implied average lifetime is 1 divided by customer churn, not revenue churn, and substituting one for the other silently rescales every unit-economics figure you derive.

Third, support, onboarding and success costs scale with account count rather than with contract value. A quarter that loses many small logos costs less revenue and roughly the same amount of organisational attention.

The gap is the signal

Neither rate means much alone; their ratio is a diagnosis.

  • Revenue churn well above logo churn — your larger accounts are leaving. The worked example above shows the shape: a routine-looking 3.75% logo quarter concealing a 6.5% revenue quarter. This is the more urgent pattern, because large accounts are slower to replace.
  • Logo churn well above revenue churn — you are shedding small accounts while retaining big ones. Sometimes healthy consolidation upmarket; sometimes an entry-level plan attracting buyers the product was never built for.
  • The two roughly equal — churn is not correlated with account size, which is typical of a self-serve product on a single price point.

What counts as one logo

Harder than it sounds, and the answer changes the metric. A customer with three subscriptions who cancels one has not churned. Two subsidiaries billed separately may be one commercial relationship or two, and if they cancel together in the same month you will either report one loss or two depending on a decision nobody wrote down. A parent company consolidating five business units onto one contract will look like four cancellations and one expansion in the raw data, when nothing was lost at all.

The workable rule is to define the logo at the level you sell and renew at, and to handle consolidations as an explicit adjustment rather than letting them flow through as churn. In a self-serve product where each account is genuinely independent this problem does not arise; in enterprise it arises constantly and is the main reason two teams compute different logo churn from the same database.

Reactivations and the denominator

A customer who cancels in March and returns in June poses the same question here as elsewhere: new logo or returning one. Counting them as new inflates acquisition and quietly improves CAC, since winning back a lapsed customer is much cheaper than acquiring a stranger. Counting them as a reactivation into their original cohort is more honest about retention and is the convention most cohort tooling assumes. Either works; using both in different reports does not.

Where Logo Churn goes wrong

  • Reporting logo churn alone in a business with wide variation in account size. A modest logo rate can sit on top of a revenue churn rate almost twice as high, and the dashboard will look calm.
  • Counting subscriptions rather than accounts. A customer who cancels one of three subscriptions is a contraction event, not a lost logo, and treating it otherwise overstates churn wherever add-ons or multi-product setups exist.
  • Letting an account consolidation flow through as churn. When a parent company merges five subsidiary contracts into one, the raw data shows four cancellations and no revenue was lost.
  • Using revenue churn in the LTV formula. Implied lifetime is one divided by customer churn; substituting the revenue rate rescales lifetime value and every ratio built on it without any warning that it happened.
  • Counting reactivated customers as new logos in one report and as returning in another. The two conventions produce different acquisition counts, different CAC and different cohort curves from identical data.

Related

Metrics that move with this one

No metric explains a business on its own. These are the figures that qualify, offset or explain Logo Churn.

Churn Rate

Churn rate is the share of customers or recurring revenue lost over a period, most often calculated as the number of customers who cancelled during a month divided by the number active at the start of it. There is no single correct churn rate: customer churn and revenue churn, gross and net, and start-of-period and average denominators all produce different figures from identical data, so a churn rate is only interpretable alongside the definition that produced it.

Learn more

Revenue Churn

Revenue churn is the share of recurring revenue lost from existing customers over a period. Gross revenue churn counts cancellations and downgrades against starting MRR and can never be negative; net revenue churn subtracts expansion from those losses and can go below zero when upgrades from surviving customers outweigh everything lost. Neither version includes revenue from new customers.

Learn more

Retention Rate

Retention rate is the share of customers or revenue from the start of a period that is still present at the end, calculated as 100% minus the churn rate over the same period and definition. Customer retention rate is bounded at 100%, while net revenue retention can exceed it, so the two are not interchangeable despite both being described as retention.

Learn more

Gross Revenue Retention (GRR)

Gross revenue retention (GRR, also called gross dollar retention) is the share of a cohort's starting recurring revenue still present at the end of a period, counting cancellations and downgrades but excluding all expansion. Because expansion is excluded, GRR can never exceed 100%, which makes it the only retention figure a strong upsell quarter cannot flatter.

Learn more

Cohort Analysis

Cohort analysis groups customers by when they started and tracks each group separately over elapsed time, producing a triangular table where rows are signup periods and columns are months since signup. It exposes what an aggregate churn rate cannot: whether retention is improving for newer customers, where in the lifecycle customers leave, and whether a flat headline number is hiding a deteriorating base propped up by durable older cohorts.

Learn more

Customer Lifetime Value (LTV)

Customer lifetime value (LTV, also written CLV or CLTV) is the total gross profit a business expects to earn from one customer across the whole of their relationship. The standard subscription estimate divides average revenue per account by the customer churn rate and multiplies by gross margin, but that formula assumes every customer has the same constant probability of cancelling every month — an assumption real cohorts violate — so LTV is a directional planning input rather than a measured figure.

Learn more

Average Revenue Per User (ARPU)

Average revenue per user (ARPU) is monthly recurring revenue divided by the number of active paying customers, giving the blended monthly value of a single account. It is frequently written ARPA — average revenue per account — and the distinction matters for any product where one account contains several seats, because dividing by seats and dividing by accounts produce different numbers and answer different questions.

Learn more

Logo Churn: frequently asked questions

What is the difference between logo churn and revenue churn?

Logo churn counts accounts lost, treating every customer as one regardless of what they paid. Revenue churn counts the recurring revenue lost, so a single large cancellation can outweigh dozens of small ones. When revenue churn runs materially above logo churn, your larger accounts are the ones leaving — a pattern a logo-only dashboard will not show.

Is logo churn the same as customer churn?

In practice, yes — logo churn is the term used in B2B, where a customer is an organisation, and customer churn is the more common phrasing in consumer and self-serve contexts. Both count accounts lost over accounts at the start. The only real difference is the definitional work B2B requires to decide what constitutes one logo across subsidiaries, multiple subscriptions and consolidations.

Do downgrades count as logo churn?

No. A customer who downgrades has not left, so the logo is retained and the event is contraction. Only a full cancellation counts. This is exactly why logo churn must be read alongside gross revenue retention, which does capture downgrades — a base that is intact by logo count can still be shrinking steadily by revenue.

Why is my logo churn higher than my revenue churn?

Because the accounts leaving are smaller than your average. That is often benign, and can even reflect a deliberate move upmarket, but it is worth confirming it is not your entry-level plan attracting buyers the product does not fit — that pattern eventually reaches the accounts above it as well.

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