Apple Search Ads

Why App Store Search Matters

A large share of app discovery happens through App Store search. Someone searching the App Store has already decided to install something in that category, which makes intent unusually high.

Apple Search Ads places a result at the top of that search. In a competitive category, the top ad position captures a substantial share of installs for the term.

Campaign Types

Search results — the main placement, at the top of search results for targeted keywords.

Search tab — a placement on the Search tab before the user types anything, sold on impressions.

Today tab and product pages — additional discovery placements within the store.

Search results campaigns account for most spend and most of the manageable performance.

Keyword Strategy

Four keyword groups worth separating into distinct campaigns:

• Brand — your own app name. Cheap, defensive, prevents competitors capturing users searching for you specifically.
• Category — generic terms describing what the app does. Higher volume, higher cost, the growth engine.
• Competitor — rival app names. Effective and expensive, and reciprocated.
• Discovery — a broad-match campaign used to find search terms you had not considered, harvested into exact match once proven.

The Privacy Environment

Apple Search Ads operates inside Apple's own privacy framework and does not depend on the App Tracking Transparency prompt for its core attribution, since both the ad and the install occur within Apple's systems.

This gives it a measurement advantage over third-party app install channels, which lost deterministic attribution on iOS. Post-install behaviour still requires your own analytics to connect.

ASA and App Store Optimisation

The two reinforce each other. Ads drive installs, installs contribute to ranking signals, and better organic ranking reduces reliance on paid.

Search Ads data is also the best available keyword research for ASO — the search term reports show real App Store queries with real volume, which no third-party tool can match.

Use paid to discover which terms convert, then optimise the listing to rank organically for them.

Structuring the Account So the Data Is Usable

The standard structure separates what you know from what you are discovering, and accounts that skip it cannot tell which is which.

A brand campaign on your own app name, exact match. Defensive, cheap, and it stops competitors owning your name. Ignore the argument that you would rank organically anyway — the ad slot sits above the organic result.

A competitor campaign on rival app names, if the category permits it. High intent, higher cost, and worth testing rather than assuming.

A category campaign on generic terms describing what the app does.

A discovery campaign on broad match with search match enabled, whose only job is to find terms. Mine it weekly: anything converting moves into an exact-match campaign, anything wasting becomes a negative. Discovery is a research tool, not a performance campaign, and judging it on cost per install misreads what it is for.

Without that separation, a good brand CPA hides a bad discovery CPA and the account looks healthier than it is.

What the Privacy Environment Changes

The platform has an unusual advantage and a matching constraint, and both follow from the same place.

The advantage: attribution to install happens inside the App Store, so the click-to-install measurement is direct rather than inferred. That is cleaner than most mobile advertising.

The constraint: everything after the install depends on what the user consented to. Without tracking permission, connecting an install to later in-app behaviour is limited, so optimising toward a post-install value event is harder here than the install numbers suggest.

Practical consequences. Measure cost per install and separately measure cohort behaviour from your own in-app analytics, rather than expecting one system to join them. Expect slower, coarser signal on anything downstream, which rewards fewer and larger campaigns over many small fast ones. And treat the consent prompt as part of the funnel — when and how you ask materially affects the share who agree, and therefore how much of your measurement works at all.

Sources

What each claim on this page rests on. Entries are typed so you can see which are primary.