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AI & Automation Overview AI Voice Agents Workflow Automation AI Lead Response Cold Outreach AI Reporting DashboardSubscription app profitability depends on three things: price, churn rate and the cost to acquire someone who becomes a payer. This calculator takes your pricing model, trial-to-paid rate and monthly churn, then outputs lifetime value per paying user and per install, maximum CPI, payback period and a clear verdict on whether the economics can support paid growth.
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Subscription app LTV is calculated in three steps: blended monthly revenue after store fees, lifetime months (1 divided by monthly churn), then revenue multiplied by lifetime. The calculator then works backward to show maximum sustainable CPI, payback period and LTV to customer acquisition cost.
The formula assumes revenue is evenly distributed across months, which is reasonable for mature subscription cohorts but not for trial-heavy early-stage apps where most conversion happens in month one or two. If your trial-to-paid rate is high, your actual payback is faster than this number.
A fitness subscription app: $9.99 monthly, $99 annual (20% of users pick annual), 15% trial-to-paid, 5% monthly churn, 30% app store fee:
At this unit economics, the app can afford to pay up to $35 per install and still break even on paid acquisition. Reality: most fitness apps see CPI well below $1, especially on organic installs, so paid growth at small scale works. At 100,000 installs a day, CPI rises to $2 to $5 depending on platform.
The calculator assumes:
Three numbers move the needle on LTV more than anything else:
The paradox: LTV is often highest for apps with modest churn rates, not lowest prices. A $19.99 monthly subscription with 3% churn outproduces a $4.99 plan with 8% churn on LTV per install, even though the cheaper plan scales to more users.
LTV to CAC under 3x signals a specific bottleneck. Diagnosis:
3x is the minimum breakeven rule for paid acquisition. Below 3x the margin is too thin and any change in CAC, churn or trial-to-paid breaks the model. Top-performing subscription apps run 5x to 10x LTV to CAC, which gives room to scale spend and absorb market changes.
Most subscription churn is concentrated in the trial-to-paid conversion and the first 30 days post-conversion. Start there: measure day-3, day-7 and day-30 churn separately so you know whether the problem is onboarding, trial gatekeeping or post-purchase value. Behavioral triggers (re-engagement pushes at day 2) and personalization (show feature X if the user looked at feature X in the trial) typically cut early churn by 20% to 30%.
Annual plans usually convert at a lower trial-to-paid rate (users feel locked in) but produce much higher LTV per payer because they lock in revenue. The net depends on your numbers, but most profitable apps offer both with a 20% to 30% annual discount. Test the discount depth; a 20% discount often converts better than 40% and gives you more revenue.
Dramatically. The difference between 15% (Apple Small Business Program) and 30% (standard) is a 17.6% reduction in net revenue. On a $27.98 blended monthly revenue, 15% fees leave you $23.78 vs $19.59 at 30%. Over a 20-month lifetime that is $85.80 more LTV per payer. Qualify for Apple Small Business Program if you can.
You are missing growth potential before conversion. A 40% install-to-trial rate instead of 60% cuts LTV per install by 33% (from $35 to $23 in the example above). Audit your app store listing (icon, screenshots, description clarity) and onboarding friction (email requirement on screen one, login walls). Most apps improve install-to-trial 10 to 20 percentage points through listing optimization and onboarding testing.
Yes. Organic installs usually have higher trial-to-paid rates and lower churn than paid installs from ads. If organic trials convert at 20% and paid at 10%, calculate LTV per install separately for each channel; your paid channel LTV might be half the organic channel. This is why ASO (organic optimization) is often more profitable than paid user acquisition at scale.
Last reviewed 11 September 2026. Formulas and benchmarks are published on the page so you can check them. This tool gives estimates, not quotes.