Which keywords do you rank 11-30 for? See your cusp band free

ASO ROI calculator

Put a monthly and yearly figure on a ranking improvement, in your own numbers.

ASO's return arrives through exactly one door: more installs from search. This calculator lays that chain out in the open - your current installs, how much of that comes from search, the improvement you expect, and your revenue per user.

There is no hidden coefficient anywhere. We do not apply a click-through curve by rank; inventing one would turn the calculation into something that argues for itself. Every input is yours.

The real figure in App Store Connect.

App Store Connect's source breakdown says this directly.

In the installs that come from search. This is an assumption - and it is yours.

Optional. Leave it empty and only installs are computed.

Optional, in the same currency as the revenue. We work out how many days it takes to pay for itself.

Fill in the first three fields: monthly installs, the share coming from search, and the improvement you expect. The rest are optional.

How to use it

  1. 1

    Enter your current installs

    The real monthly figure from App Store Connect. Do not estimate it.

  2. 2

    Enter the share from search

    App Store Connect's source breakdown tells you this directly. Without it the result has no meaning.

  3. 3

    Choose the improvement you expect

    This is an assumption and it is yours. The fuller your measured cusp band, the more reasonable optimism becomes.

  4. 4

    Read the payback

    The result shows extra installs, extra revenue, and how many days it takes the monthly cost you entered to pay for itself.

Why ASO's return is not advertising's

With ads you rent the traffic: the day the budget stops, so does the traffic. A metadata fix stays where it is and the installs keep arriving while you do nothing. That is why ASO's return is read cumulatively rather than monthly.

The other side of it: ASO is not instant. When new metadata goes live the index does not update immediately and rankings take a few days to settle. Movement in the first 24 hours is usually noise.

The weak link is the improvement assumption

The other three inputs are measurable; the expected improvement is not. It is more honest to treat it as a range than as a number - run the pessimistic, realistic and optimistic cases separately.

The only honest way to make that expectation concrete is to have the cusp band measured. How many keywords you rank 11-30 for is the one real piece of data that says what size of improvement is plausible.

Write down the cost side too

A tool's cost is its monthly price; the real cost is usually the time. A team doing keyword research by hand spends a few days a month searching the store.

The calculator also shows how many days the cost takes to return. On the free plan that number is zero: one app's 50 keywords are measured daily without a card.

Frequently asked

Why is there no click-through rate by rank?
Because Apple publishes none. The curves in circulation come from other stores or from old samples; putting one in here would build the calculation on an invented coefficient.
How do I work out revenue per user?
The simplest version: monthly revenue divided by monthly active users. If you sell subscriptions, factoring in average subscriber lifetime gives a truer figure.
Can I save the results?
The calculation stays on screen and is sent nowhere. Take a screenshot, or move the numbers into your own sheet.

Something does this for every keyword, every day.

By hand, one keyword takes a few minutes. rankcusp measures every phrase in your pool every day, separates the ones that fall into the 11-30 band, and proposes a single metadata move for each.

The keywords you rank 11-30 for are where the first page costs you the least effort. Ready to see which ones they are?