Apple Ads can be one of the fastest ways to get more downloads. It can also be one of the fastest ways to burn money.
In this live Q&A I answered questions about budgets, bids, long-tail keywords, campaign structure, countries, ratings, custom product pages, and when to stop spending. This guide pulls those answers into one practical system you can use before you launch your next campaign.
The big idea: do not start Apple Ads by trying to win the biggest keyword in your category. Start by learning which smaller, more specific searches can convert, then scale from there.
The first question most developers ask is: how much should I spend on Apple Ads?
The answer is not really a number. It is a system.
Start with the amount you are comfortable spending to learn. In the beginning, you are not just buying downloads. You are buying information:
For smaller apps, that might be $30-$40/day, or around $1,000/month. If you are a larger company and need faster answers, start higher. The system is the same either way: spend enough to get signal, then scale only what works.
The most obvious keyword is usually the most expensive place to learn.
If you have a calendar app, do not assume calendar is the right starting point. If you have a weather app, do not assume weather is the right starting point.
Those keywords are broad, competitive, and usually full of apps with larger budgets. Even if they have the most volume, they may be the worst place to start.
Instead, look for specific use cases:
business calendarcalendar for outlookweather alertsrain alertsinvoice app for contractorsinvoice maker for lawn careThe more specific the search, the easier it is to understand intent and match your app to it.
A good Apple Ads test can include a lot of keywords: 100, 200, sometimes 300 if you are going long-tail.
Most of them will not spend. That is normal.
In one campaign I mentioned in the stream, I had about 180 keywords and only 16-18 were spending. Apple Ads often concentrates spend on a small set of keywords. Your job is to give the campaign enough relevant options, then watch which ones actually produce impressions, taps, and downloads.
Once you find the few keywords that convert, push those first.
If you start at $30/day and find 5-10 keywords that are converting well, you can raise budget around those keywords with more confidence. At some point efficiency will change, but now you are scaling from evidence instead of guessing.
Competitor research is useful because it shows where money is already being spent.
Look at the apps advertising in your category. Then inspect the keywords they are spending on. You are not looking for one magic keyword. You are looking for a long tail of relevant keywords where one app does not own the entire impression share.
For example, in a broad category like weather, a big app may dominate the obvious searches. That does not mean you should fight them directly on weather. It means you should look for:
Using competitors to discover relevant non-brand keywords is useful. Blindly bidding on competitor brand names is usually expensive and often does not produce useful returns.
For US campaigns, I often start around 2x Apple's suggested bid.
Apple's estimate is often lower than what you need to get useful visibility in the US. This is not a permanent rule. It is a starting point.
Once data comes in, adjust based on what you see:
Do not optimize everything at once. Read the funnel in order.
Apple Ads performance is a funnel:
Each step points to a different problem.
If you get impressions but no taps, start with keyword relevance and creative. Look at your icon, title, subtitle, and screenshots.
If you get taps but no downloads, your product page probably needs work. This is where custom product pages can help.
If you get downloads but no trials, purchases, or retention, compare paid users to organic users. Paid traffic can be the wrong audience if you bought your way into searches where your app does not really belong.
The practical cut point is simple: if you have to spend more than you are comfortable spending to get one download, and you cannot improve the funnel, cut it.
That usually means cutting a keyword, group of keywords, country, or campaign. It does not mean Apple Ads can never work for your app.
Start with:
Then diagnose the weak point:
If optimization does not move the numbers, stop and reset instead of continuing to feed the campaign.
Running Apple Ads in the first few weeks after launch can help a new app, but not because it teaches Apple's organic algorithm your target audience faster.
Apple Ads and organic discovery are different systems.
The real benefit is that early paid downloads can create early usage and, if handled well, ratings. Ratings can help organic discovery. That means every paid download can become more than a download if the user has a good experience and you ask for a rating at the right time.
The important part is at the right time. Do not waste early users by pushing them through a bad first experience.
If you already rank #1 organically for a non-branded keyword, Apple Ads may bring incremental installs, or it may mostly cannibalize organic traffic.
There is no universal answer. Test it.
Look at total downloads before and after bidding on the keyword. If paid installs go up but total installs do not, you may just be paying for users you would have gotten anyway.
My preference is to look first at keywords where you rank around positions 5-20.
Why those? Because Apple already thinks your app is somewhat relevant, but users may never scroll far enough to find you. Ads can move you into view for searches where you are close, but not close enough.
Max Conversion can work for some apps. I have seen people make money with it.
But it relies heavily on Apple choosing keywords and bids. That usually means Search Match, and Search Match can spend on irrelevant or expensive keywords if Apple misunderstands the app or category.
My bias is toward managed bids:
If Max Conversion works for your app, keep using it. But do not assume it will work just because Apple recommends it.
Four-word, five-word, or six-word keywords usually will not spend much because most people do not type that much into App Store search.
But in Apple Ads Advanced, there is little downside to testing them because you only pay when someone taps.
The likely outcome:
Do not build the whole campaign around ultra-long-tail keywords. Include them when they are relevant, then let the data decide.
If you are entering a broad category like weather, calendar, Bible apps, or popular game genres, do not start by fighting the biggest app on the biggest keyword.
Use this process:
This is less exciting than bidding on the giant keyword, but it gives you more ways to learn without spending all your money in one place.
In the beginning, campaigns are for learning.
As you mature, separate stable spend from experiments.
A simple structure:
When an experiment works, move the winning keywords or themes into the core structure.
Do not stop experimenting once you find winners. Search behavior changes, competitors change, and new keywords appear.
If you want to expand beyond the US, start with your own analytics.
Look at where your organic downloads came from in the last 30 days. Take the top five countries and test those one by one.
Do not mix multiple countries into one campaign if you can avoid it. Apple lets you, but it makes spend management and analysis harder.
If Germany works and Brazil does not, you want to be able to raise or lower each independently. That is much easier when each country has its own campaign.
The US is expensive because it has scale and monetization. Other markets can be much cheaper, but use your existing user base as the starting signal.
Custom product pages let you show different screenshots for different Apple Ads keywords.
That matters because search intent is specific.
If someone searches for an invoice app for tax consultants, a generic “invoice app for every small business” page may work. But a page that visually matches tax consultants can work better because the user immediately sees themselves in the app.
Same app. Same keyword strategy. More relevant product page.
Use custom product pages when:
In the beginning, if only a few keywords are working, optimize the main product page first. Once you have 50, 60, or 100 keywords getting meaningful activity, custom product pages become much more useful.
Ratings matter, especially for new apps using paid acquisition to build momentum.
But asking for a rating before the user has actually used the app is aggressive. It may increase rating prompts, but those are not necessarily good ratings, and it can make the first experience worse.
A better rule: ask after the user has experienced value.
That moment depends on the app. For some apps it is after completing a task. For games it may be after a satisfying session. For utility apps it may be after the app solves the problem the user came for.
The goal is not just more ratings. The goal is more honest positive ratings from users who actually understand the app.
Do not put the same exact keyword into multiple campaigns unless you have a specific reason.
Apple may match both, which can split your data and make budgets harder to manage. It is not necessarily losing money, but it makes analysis messier and can cause campaigns to eat into each other.
Keep each important keyword in one clear place whenever possible.
If your actual CPT is far below your max CPT and the campaign still only uses part of the daily budget, the keyword may not have enough available traffic.
It could mean:
The answer is usually not to raise the budget. The answer is to find more similar keywords so the campaign has more places to spend efficiently.
Not all apps monetize the same way every day.
Business tools may be weaker on weekends. Games and entertainment apps may be stronger Friday through Sunday. Some apps have obvious day/night patterns.
If your data shows that users subscribe or spend differently by day or time, you can use that to manage campaigns more aggressively. This is more advanced, and Apple Ads does not make every version of this easy, but the idea is sound: spend more when the traffic is more valuable and less when it is not.
If you want a repeatable operating system, use this:
Apple Ads is not magic. It is a feedback loop.
The less you guess, the less money you burn.
A practical ASO guide from a live app teardown covering app names, keywords, screenshots, localization, and Apple Ads.
Use ChatGPT to speed up App Store Optimization: keyword ideas, metadata drafts, and competitor analysis workflows (prompt sheet included).