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November 1, 2026

Intent Tiers in Apple Search Ads: Sort Keywords by What the Searcher Wants Before You Bid

Apple Search AdsASA keywordsindie iOSkeyword strategyCPT biddingapp marketing

Most indie developers build their keyword list by brainstorming, then bid roughly the same amount on everything that looks relevant. That works badly. Two keywords can both be relevant to your app and still behave completely differently, because the person typing each one wants something different. Before you touch a bid, it helps to sort your terms by intent. This post shows you how to do that and what to do with the result.

Why intent matters more than relevance

Relevance answers the question 'could this term describe my app?' Intent answers 'what is this person trying to accomplish when they type it?' Those are not the same. A term like 'habit tracker' and a term like 'stop smoking' might both lead to your app, but the first person is shopping for a category and the second is trying to solve a problem they already feel.

The practical difference shows up in your numbers. Searchers in different intent stages tend to tap at different rates, install at different rates, and reach purchase at different rates. If you average them together, you end up with a blended result that describes nobody. You cannot tell which terms deserve more money, and you cannot tell which terms are just consuming CPT.

The four tiers that cover most indie apps

You do not need a complex framework. For most apps, four buckets are enough.

1. Brand terms

These are your app name, your studio name, or close variants. Someone typing your name already knows what they want. They are often going to find you anyway, and a bid mostly determines whether a competitor shows up above you. Treat brand as its own question, which is covered in more depth in our brand versus non-brand post.

2. Feature or use-case terms

These describe a specific thing the app does: 'offline pdf scanner', 'split bill calculator', 'metronome with subdivisions'. The searcher has a concrete need and a rough idea of the tool they want. This tier often has the most useful conversion signal, because the match between what they want and what your listing promises is tight.

3. Category terms

These are broad labels: 'budget app', 'photo editor', 'fitness tracker'. The searcher is browsing. They might install the first decent option they see, or they might scroll through twenty listings. Category terms usually carry more competition and more noise, and they respond strongly to how your icon, screenshots, and first lines of copy look at a glance.

4. Problem or outcome terms

These describe the pain rather than the tool: 'can't sleep', 'lose track of subscriptions', 'forgot my passwords'. The searcher may not know any app exists for this. These terms can work well when your app is a clean answer to the problem, but they often need more patience because the path from tap to purchase is longer.

How to sort your list in an afternoon

Start with the keywords you already run or plan to run. Put each one in a simple spreadsheet with four columns: term, tier, current max CPT, and a one-line note on why you think the searcher wants what they want.

Be honest in the note. If you are unsure whether 'budget app' is a category or a feature term for your product, write that down. Ambiguous terms are a signal to test them in isolation rather than a reason to guess.

Then check whether your tiers are roughly balanced. A common indie pattern is a large pile of category terms with almost no feature terms, because category terms are easy to brainstorm. That imbalance makes your overall numbers hard to read, because the expensive, low-intent tier is dragging down everything else.

What to do differently per tier

Once terms are sorted, the decisions get simpler.

  • Feature terms: these are usually the first place to put real budget. Look at whether taps turn into installs at a healthy rate. If they do, test modest bid increases and watch CPT and install cost move together.
  • Category terms: set expectations that TTR and conversion will be noisier. Judge them over a longer window, and compare them to other category terms rather than to feature terms.
  • Problem terms: give them a clear test window. If the tap-to-install rate is reasonable but downstream purchase is slow, the issue may be timing rather than the keyword, which connects to cohort maturity.
  • Brand terms: decide on purpose whether you are defending or ignoring them. Do not let them quietly drain a shared budget without a reason.

The important part is that each tier gets judged against its own baseline. A category term with a modest conversion rate might be perfectly healthy for its tier, while a feature term with the same rate could be underperforming.

Watch for tier drift

Terms can move between tiers as your app and the market change. A category term can become a feature term as your app gains a specific reputation. A feature term can get crowded out by competitors and start behaving like a category term. Revisit your sorting every few weeks, especially after a major update or a listing change.

A quick checklist

  • Every active keyword has a tier label.
  • Each tier has its own rough expectation for taps and installs.
  • You are not judging category terms against feature terms in the same table.
  • Brand terms have an explicit reason to be funded.
  • You re-sort after meaningful app or listing changes.

Takeaway

Intent tiers do not change how the auction works, but they change how you read it. When you separate what searchers want, you stop asking one bid to do three jobs at once. Start with a simple four-column sheet, make your decisions per tier, and let each group prove its own value. If you want help keeping this kind of tiering up to date alongside your daily numbers, AdsBuddy is built to surface those prioritized changes for you to review and approve.

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