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Updated 2026-09-01 · Creator Economy · Educational use only ·
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App Revenue Calculator

App monetisation net of store fees.

Calculate app net revenue from daily active users, revenue per user and the store commission. Shows gross, store fees and annual net.

What this tool does

This calculator estimates net app revenue after platform store commission. It multiplies daily active users by the monthly revenue each generates to give gross income, deducts the store fee, and reports the net monthly figure alongside the annual equivalent, the gross, and the fees themselves. The two revenue inputs are interchangeable in the arithmetic since they are multiplied, so doubling either produces the same result, even though one usually costs marketing spend and the other product work. Store commission rates and reduced-rate programme thresholds are set by each platform and revised periodically, which is why the fee is an input rather than a stored figure. The model is linear throughout and deducts store commission only: payment processing, refunds, chargebacks, regional tax withholding, ad network revenue shares, marketing, infrastructure and staff costs all sit outside it.

Quick answer: with the default values, the result is $14,000.00 (Net Monthly Revenue). Adjust the values below for your own figures.


Enter Values

People also use

Formula Used
Daily active users
Monthly revenue generated per daily active user
Store commission as a percentage of gross. Zero where revenue arrives outside store billing
Gross monthly revenue before commission
Store fees taken from that gross each month
Net monthly revenue retained, the primary result
Annual net, being twelve times the monthly figure

Disclaimer

Results are estimates for educational purposes only. They do not constitute financial advice. Consult a qualified professional before making financial decisions.

Mobile app revenue depends on daily active users and monetisation per user. Ranges quoted in app-industry commentary put casual ad-supported apps around 0.10 to 1.00 of monthly revenue per daily active user, and subscription apps somewhere between 1 and 10, though both vary widely by category, region and user quality. The platform store then takes a commission off the gross.

10,000 daily active users at 2 of monthly revenue each is 20,000 gross. A 30% store fee leaves 14,000 net a month, or 168,000 over a year, before any staff or marketing costs. Scale the user count and the revenue scales with it in a straight line.

Both major stores charge a standard commission of 30%, reduced to 15% for developers below an annual earnings threshold under their small-business programmes, and to 15% on subscription revenue after a subscriber’s first year. Alternative billing arrangements are available in some markets where platform rules or regulation permit them. The thresholds, rates and eligibility rules are set by each platform and change periodically, which is why the fee is an input here rather than a stored figure.

Run it with sensible defaults

Using daily active users of 10,000, revenue per DAU monthly of 2, and a store fee of 30%, the calculation works out to 14,000.00 a month, with 168,000 annual net, 20,000 gross monthly and 6,000 going to store fees.

The levers in this calculation

Daily Active Users and Revenue per DAU Monthly are the larger levers: a 1% change in either moves Net Monthly Revenue by about 1%, against 0.43% for Store Fee % in the opposite direction.

The two revenue inputs are interchangeable in the arithmetic, since the model multiplies them together. Doubling the user count and doubling the revenue per user produce identical results, even though one usually costs marketing spend and the other usually costs product work. The store fee moves the result less in relative terms but matters at the margin: dropping it from 30% to 15% takes the loaded net from 14,000 to 17,000, and a purely ad-supported model with no store commission at all keeps the full 20,000.

How the math works

Gross revenue is daily active users multiplied by monthly revenue per user. Store fees are that gross multiplied by the fee percentage. Net is gross less fees, and the annual figure is twelve times the monthly one. The model is linear throughout, so every output scales proportionally with any input.

What this doesn’t capture

Store commissions are the only deduction this model makes, and several others sit alongside them. Payment processor fees, refunds and chargebacks, regional tax withholding, ad network revenue shares and any co-publisher agreement all reduce the figure further. On the cost side, marketing, servers, support and the developer’s own time sit outside the calculation entirely. The number on screen is a top-line figure after platform commission, not cash available to spend.

Worked example

Suppose a subscription fitness app with 25,000 daily active users. Each user generates an average of 4.50 per month in revenue. The store charges a 30% fee.

Gross monthly revenue: 25,000 × 4.50 = 112,500

Store fee (30%): 112,500 × 0.30 = 33,750

Net monthly revenue: 112,500 − 33,750 = 78,750

Annual net revenue: 78,750 × 12 = 945,000

This illustrates how user scale and revenue-per-user interact. A 10% increase in daily active users, meaning 2,500 more, adds 7,875 net per month. A 10% increase in revenue per user adds exactly the same amount, because the two are multiplied rather than added. Either lever moves the outcome, but user growth often requires marketing spend or organic traction over time.

Common scenarios

  • Ad-supported casual game: high user counts, low revenue per user, and often no store commission at all where the revenue arrives through an ad network rather than store billing.
  • Subscription app (fitness, learning, productivity): moderate user counts, higher revenue per user, and a commission that may drop to the reduced rate on renewals after the first year.
  • In-app purchase model (strategy game, marketplace): variable on both inputs, with a small share of high-spending users dominating the revenue per user figure. Store commission applies to every transaction.
  • Freemium with trial conversion: revenue per user rises as trials convert, and the effective commission falls as the subscriber base ages past the first-year threshold.

What the result does and does not capture

This calculator estimates the net revenue flowing to the developer after store fees. It does not account for payment processor fees, refund rates, regional tax withholding, chargebacks, or revenue-share agreements with co-publishers.

It also does not model marketing cost, server infrastructure, support labour, or the time required to acquire and retain those daily active users. Net revenue on paper differs from cash available for reinvestment or personal use.

The calculator operates at the top line. It shows a relationship between user count, monetisation rate, and take-home revenue. It does not predict whether those inputs will move or remain stable.

Educational illustration

This calculator is for educational illustration only. Actual app revenue depends on user behaviour, platform policy changes, and market conditions outside this model.

Example Scenario

10,000 daily active users generating $2 each per month, less a 30% store commission, leaves $14,000.00 in net monthly revenue, with the gross figure, the store fees and the annual net reported alongside.

Inputs

Daily Active Users:10,000
Revenue per DAU Monthly:$2
Store Fee %:30%
Expected Result$14,000.00
Expected Result breakdown
Annual Net$168,000.00
Gross Monthly$20,000.00
Store Fees Monthly$6,000.00
Revenue per DAU$2.00

This example uses sample figures for illustration. Adjust the inputs above to match a specific situation and see how the result changes.

Sources & Methodology

Methodology

The calculator multiplies daily active users by monthly revenue per user to give gross monthly revenue, deducts the store commission as a percentage of that gross, and reports the net monthly figure alongside the annual equivalent, the gross, and the fees. The annual figure is twelve times the monthly one, with no allowance for seasonality or growth across the year. The model is linear in every input, so the two revenue inputs are interchangeable: doubling the user count and doubling the revenue per user produce identical results. Commission rates, reduced-rate programme thresholds and eligibility rules are set by each platform and revised periodically, so the rate is a user input rather than a stored figure; a model where revenue arrives outside store billing, such as third-party ad networks, takes a fee of zero. Store commission is the only deduction made. Payment processor fees, refunds, chargebacks, regional tax withholding, ad network revenue shares, co-publisher agreements, marketing spend, infrastructure, support and staff costs all sit outside the calculation, so the result is a top-line figure after platform commission rather than cash available to spend.

Frequently Asked Questions

What is a typical revenue per daily active user?
Ranges circulated in app-industry commentary put casual ad-supported games somewhere around 0.10 to 0.50 of monthly revenue per daily active user, freemium apps at 0.50 to 3.00, subscription apps at 2 to 15, and premium one-time purchases at 0.05 to 0.20 spread across a user's lifetime. These are commentary bands rather than measured statistics and vary widely by category, region and user quality. The figure to enter is a store's own revenue divided by its own active user count, since that is the only version specific to the app being modelled.
What store fee percentage should I use for Apple App Store vs Google Play?
Both major stores charge a standard commission of 30%, reduced to 15% for developers whose annual earnings sit below the threshold of their respective small-business programmes. Subscription revenue also drops to 15% after a subscriber's first year on both platforms. The threshold amounts, the eligibility rules and the rates themselves are set by each platform and revised periodically, so the current schedule for the relevant market is the figure to enter. On the loaded example the difference is material: 30% leaves 14,000 a month while 15% leaves 17,000, a 21% increase in net revenue on identical gross.
Why does the calculator use daily active users instead of total installs or monthly active users?
Daily active users is a closer proxy for monetisation activity than install counts or monthly actives, since revenue from ads, in-app purchases, and subscriptions correlates with consistent engagement rather than passive installs. Monthly active users would overstate the active base by including users who open the app rarely, which would in turn understate the revenue-per-user figure needed to reach the same gross. Adjusting the daily active user input up or down is a practical way to model different engagement scenarios within the same formula.
Can I use this calculator to model a free app that earns only from ads?
Ad revenue from third-party ad networks typically bypasses app store commissions entirely, so the store fee field would sit at 0% for a purely ad-supported model, which on the loaded gross leaves the full 20,000 rather than 14,000. The gross revenue figure still applies and can reflect an effective eCPM converted to a per-user monthly amount. The calculator does not separately account for ad network revenue shares, which are an additional deduction handled outside the store fee structure, so a net figure calculated this way still sits above what the network actually pays out.

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