Creator Economy, Streaming & Content Production Audience & Subscription Economics Geometric survival model (lifetime = 1 ÷ churn)

Subscriber Churn & Lifetime Value Calculator

Monthly churn is the most under-read number in a creator business, because its consequences are not linear. A 5% monthly churn means the average paying subscriber stays twenty months; 10% means ten; 20% means five. This calculator turns your churn rate into average lifetime and lifetime value, shows how many of your new signups are merely replacing people who left, and works out the subscriber count your current signup rate is heading toward — the ceiling that arrives whether or not you notice it.

Calculator

This calculator runs in your browser. Enable JavaScript for live results — the inputs, formula and worked example below remain fully readable without it.

Inputs this calculator takes, with typical values
InputWhat to enterExample
Paid subscribers todayCurrent paying subscribers or members, across all tiers.800
Monthly churn rateSubscribers cancelling in a month divided by subscribers at the start of that month.5 %
Net revenue per subscriber per monthWhat you keep each month after platform fees, processing and fulfilment — not the sticker price.6.67 $
New subscribers per monthGross signups in a typical month, before subtracting anyone who leaves.100
Acquisition cost per subscriberTotal spend on acquiring subscribers divided by subscribers acquired. Zero if growth is entirely organic.12 $

It returns

  • Lifetime value per subscriber — Net revenue per month multiplied by average lifetime, before acquisition cost.
  • Average subscriber lifetime
  • LTV to CAC ratio
  • Subscribers lost per month
  • Net growth per month
  • Ceiling at this signup rate
  • Months to double

The formula

LTV=mc
R12=(1c)12
S=ac

In plain text: lifetime = 1 ÷ c; LTV = m × (1 ÷ c); ceiling = a ÷ c

  • cMonthly churn rate as a decimal fraction (decimal)
  • mNet revenue kept per subscriber per month ($)
  • aNew subscribers added per month (subscribers)
  • LTVLifetime value per subscriber, before acquisition cost ($)

Lifetime = 1 ÷ c is the mean of a geometric survival distribution: each month a subscriber has probability c of leaving, independently of how long they have already stayed. That memorylessness is an assumption, and it is the model's main weakness.

Updated Category Audience & Subscription Economics Verified against published test cases Reading time 11 min

Why churn is a reciprocal, not a percentage

Churn is usually reported as a percentage and thought about as a small loss. That framing hides its real behaviour, because the quantity that matters is its reciprocal. If each month a subscriber has a 5% chance of cancelling, they stay on average 1 ÷ 0.05 = 20 months. At 10% they stay 10 months. At 2.5% they stay 40.

So halving churn does not improve things by a few percent — it doubles the average lifetime, and therefore doubles lifetime value. Nothing else in a subscription business has that property. Doubling your price does not double LTV once you account for the subscribers a higher price drives away; halving churn does, exactly, with no offsetting loss.

The same reciprocal shows up in the second result on this page, and it is the one that surprises people. If you add a subscribers a month and lose c of your base each month, the base converges to a ÷ c and stops. Not slows — stops. At 100 signups a month and 5% churn the ceiling is 2,000 subscribers, and at 2,000 the 100 arriving each month are exactly the 100 leaving. You can be doing everything right, adding subscribers every single month, and be asymptotically approaching a wall.

The model, its assumption, and where it breaks

The lifetime formula comes from a geometric survival model. Each month, every subscriber independently has probability c of cancelling. The chance of surviving n months is (1 − c)ⁿ, and the mean of that distribution is 1 ÷ c months. Twelve-month retention is (1 − c)¹², which at 5% monthly churn is 0.95¹² = 54.0% — barely more than half of today's subscribers still paying a year from now, from a rate that sounds trivial.

The assumption baked into that model is memorylessness: a subscriber who has stayed two years is exactly as likely to cancel this month as one who joined last week. Real subscriptions do not behave that way. Cancellation risk is heavily concentrated in the first few months and falls sharply afterwards, so a single blended churn rate understates the loyalty of your long-tenured base and overstates the value of a brand-new signup. If your churn differs sharply by tenure, compute LTV separately for new and established cohorts and expect the true blended figure to sit above what a single rate predicts.

Net revenue per subscriber must be net, not the sticker price. Platform commission, card processing and any per-member fulfilment cost all come off before this number, which is exactly the figure the membership tier break-even calculator and the newsletter revenue calculator produce. Using the gross price inflates LTV by 15–30% at typical fee levels, which is enough to turn a bad acquisition decision into a good-looking one.

Acquisition cost is total acquisition spend divided by subscribers acquired. If growth is entirely organic, enter zero and read the LTV figure on its own; if you run paid promotion, sponsorships or referral incentives, include all of it, including your own time if you value it consistently elsewhere.

Worked example: 800 subscribers, 5% churn, 100 signups a month

Net revenue of $6.67 per subscriber per month and an acquisition cost of $12.

  1. Average lifetime. 1 ÷ 0.05 = 20 months.
  2. Twelve-month retention. 0.95¹² = 54.0%.
  3. Lifetime value. $6.67 × 20 = $133.40.
  4. LTV to CAC. $133.40 ÷ $12 = 11.12.
  5. Subscribers lost per month. 800 × 5% = 40.
  6. Net growth. 100 − 40 = 60 a month. So 40 ÷ 100 = 40% of every month's signups are replacements, not growth.
  7. Ceiling. 100 ÷ 0.05 = 2,000 subscribers.
  8. Months to double. The base follows S(t) = 2,000 + (800 − 2,000) × 0.95ᵗ. Setting S(t) = 1,600 gives 0.95ᵗ = (1,600 − 2,000) ÷ (800 − 2,000) = −400 ÷ −1,200 = 1/3, so t = ln(1/3) ÷ ln(0.95) = (−1.0986) ÷ (−0.051293) = 21.42 months.

Now hold everything else and halve churn to 2.5%. Lifetime becomes 40 months, LTV becomes $266.80, monthly losses fall to 20, net growth rises to 80, and the ceiling jumps from 2,000 to 100 ÷ 0.025 = 4,000. One change, and both the value of a subscriber and the size of the business you can ever build have exactly doubled. Doubling signups to 200 a month instead also lifts the ceiling to 4,000 — but leaves LTV at $133.40 and costs 100 × $12 = $1,200 a month more in acquisition, where the churn fix costs nothing per subscriber.

What each output should make you do

Average lifetime is the number to quote internally, because months are intuitive in a way that percentages are not. Twenty months means a subscriber acquired today is, on average, gone before the end of next year. That reframing usually changes how much attention onboarding and the first ninety days get.

The LTV to CAC ratio is a spending decision, not a scorecard. The widely used rule of thumb is that a ratio of 3 or better means acquisition is worth funding; below 1, every additional acquired subscriber loses money and spending more makes it worse. Between those, you are buying subscribers who repay their acquisition cost but leave little toward producing the thing they subscribed to. Note that a very high ratio is not automatically good news either — it often means you are under-investing in growth and could profitably spend more.

The replacement share is the figure that explains why growth feels harder than it is. At 800 subscribers and 5% churn you must find 40 people a month before the count moves at all, and that requirement grows with the base: at 2,000 subscribers it is 100 a month, which is your entire current signup rate. This is the mechanism behind the ceiling.

The ceiling is the strategic output. If it sits below where you want to be, no amount of patience gets you there — the curve flattens toward that number and stops. Only two inputs move it: signups and churn. And because the ceiling is a ÷ c, a given percentage improvement in churn moves it by exactly as much as the same percentage improvement in signups, while usually costing far less.

Churn, lifetime, retention and value

Average lifetime is 1 ÷ churn. Twelve-month retention is (1 − churn)¹². Lifetime value is shown at $10 of net revenue per subscriber per month; scale it linearly for your own figure.
Monthly churnAverage lifetimeStill paying after 12 monthsLTV at $10/month net
1%100.0 months88.6%$1,000.00
2%50.0 months78.5%$500.00
3%33.3 months69.4%$333.33
5%20.0 months54.0%$200.00
7%14.3 months41.9%$142.86
10%10.0 months28.2%$100.00
15%6.7 months14.2%$66.67
20%5.0 months6.9%$50.00

Read the first and last columns together: the relationship is a reciprocal, so the step from 1% to 2% churn costs $500 of lifetime value while the step from 15% to 20% costs $17. Improving already-low churn is worth far more per point than improving high churn — but high churn is usually far easier to improve.

Assumptions and honest limitations

  • Churn is assumed constant with tenure. In reality it is front-loaded: most cancellations happen in the first few months. A single blended rate therefore understates the value of long-tenured subscribers and overstates that of new ones.
  • Annual plans distort monthly churn. A subscriber on an annual plan cannot cancel in most months and then can cancel decisively in one. Compute annual and monthly cohorts separately, or you will read a misleadingly low rate eleven months of the year.
  • Involuntary churn is included but not separated. A meaningful share of cancellations are failed cards rather than decisions. That portion is recoverable through payment retries in a way voluntary churn is not, so measure it separately if you can.
  • No discounting is applied. LTV here is the undiscounted sum of future monthly revenue. Over a twenty-month horizon the difference is small; over a hundred-month lifetime at 1% churn it is not, and a formal LTV would discount the stream.
  • Revenue per subscriber is assumed flat. Price rises, tier upgrades and downgrades all change it over a subscriber's life, and upgrade-heavy businesses genuinely earn more than this model reports.
  • The ceiling assumes signups stay constant. They rarely do — they usually rise with audience size, which pushes the ceiling up over time. Treat the ceiling as the answer to "what if today repeated forever", not as a prophecy.
  • LTV excludes the cost of serving the subscriber. Net revenue per subscriber should already have fulfilment in it; if it does not, the ratio to CAC is flattering you.

Reducing churn beats every other lever

Because lifetime is a reciprocal, retention work compounds in a way acquisition work does not. A subscriber you keep costs nothing to reacquire, raises the ceiling, raises LTV and improves the LTV-to-CAC ratio simultaneously. A subscriber you acquire improves only the count, and costs money each time.

The practical implications follow from where churn actually happens. It is concentrated early, so the first month matters disproportionately: whether the subscriber ever used what they paid for, whether the value was obvious immediately, whether they received anything at all in the first week. It is also concentrated in payment failure, which is a solved problem — retry logic and expiry reminders recover a meaningful share of cancellations that nobody intended.

Annual billing is the blunt instrument that works. It converts twelve monthly cancellation decisions into one, and it removes eleven chances for a card to fail. The trade is that you are paid before the work, and that a year's churn arrives all at once on the renewal date rather than spread out.

Finally, use LTV to decide what growth is worth buying. If a subscriber returns $133 and costs $12 to acquire, cross-promotion, referral rewards and paid growth are all obviously worth funding. If they return $30 and cost $25, they are not, and the fix is on the retention or pricing side first. The inputs to that decision come from the net figures produced by the newsletter revenue calculator and the membership tier break-even calculator, and the alternative income lines they compete with are modelled in the sponsorship rate calculator and the YouTube ad revenue calculator.

Key terms

Monthly churn rate
Subscribers who cancel in a month divided by subscribers at the start of that month. Measured on subscriber counts, not on revenue — revenue churn is a different metric that can be negative when upgrades exceed losses.
Lifetime value (LTV)
The total net revenue expected from one subscriber over their whole relationship with you. Here it is undiscounted and computed before acquisition cost.
Customer acquisition cost (CAC)
Total spend on acquiring subscribers divided by the number acquired in the same period. Include everything spent to win them, not only advertising.
Involuntary churn
Cancellation caused by a failed payment rather than a decision to leave. It is recoverable through retries and card-expiry reminders, which makes it worth tracking apart from voluntary churn.

Frequently asked questions

How do I convert monthly churn into average subscriber lifetime?

Take the reciprocal: lifetime in months is 1 divided by the monthly churn rate expressed as a decimal. A 5% churn gives 1 ÷ 0.05 = 20 months, and 8% gives 12.5 months. This is the mean of a geometric survival distribution, and it assumes the chance of cancelling in any given month is the same regardless of how long someone has already stayed.

What is a good churn rate for a paid newsletter or membership?

Compare against your own trend rather than a published benchmark, because rates vary enormously by price point, billing period and niche. What matters more than the level is the shape: check whether churn is falling with tenure, and whether the ceiling it implies — signups divided by churn — is above the subscriber count you are aiming for. If it is not, no benchmark comparison will help.

Why does my subscriber count stop growing even though I keep adding people?

Because monthly losses scale with the base while signups usually do not. Losses are subscribers × churn, so at 100 signups a month and 5% churn the two balance at 2,000 subscribers and the count flattens there. The number to watch is signups divided by churn: that is the ceiling, and reaching it feels like a plateau arriving from nowhere.

What LTV to CAC ratio should I aim for?

Three or better is the widely used rule of thumb, meaning a subscriber returns at least three times their acquisition cost before any production cost is counted. Below 1 you lose money on every acquisition and spending more deepens the loss. A very high ratio is not unambiguously good either — it frequently means you could profitably spend more on growth than you currently do.

Should I use gross price or net revenue for LTV?

Net, always. Platform commission, payment processing and per-member fulfilment all come off before you keep anything, and at typical fee levels that is 15% to 30% of the price. Using the sticker price inflates LTV by the same proportion, which is more than enough to make an unprofitable acquisition channel look worth funding.

Does this model handle annual subscriptions?

Not cleanly, because it assumes a cancellation opportunity every month. An annual subscriber cannot leave for eleven months and then decides all at once, so a blended monthly rate reads far too low most of the year. Model annual and monthly cohorts separately: for annual, compute lifetime in years as 1 ÷ annual churn and convert.

How much of my churn is just failed payments?

Usually more than creators expect, and it is worth separating because it is recoverable. Involuntary churn comes from expired, declined or replaced cards rather than from a decision to leave, and retry schedules plus expiry reminders win a meaningful share of it back. Voluntary churn requires changing the product or the onboarding; involuntary churn requires only plumbing.

Is it better to reduce churn or increase signups?

Reducing churn, in almost every case, because it moves two things at once. The ceiling is signups ÷ churn, so a 20% improvement to either moves the ceiling identically — but the churn improvement also raises lifetime value by 25% while the signup improvement leaves LTV unchanged and costs your acquisition cost for each additional person. Retention work is the only lever that improves value and volume together.

References

  • Marketing Metrics: The Manager's Guide to Measuring Marketing Performance, 3rd ed. — Pearson FT Press
  • Customer Lifetime Value: Marketing Models and Applications, Journal of Interactive Marketing — Elsevier