What's a Good CTR for Apple Search Ads?

A good tap-through rate — Apple's term for click-through rate — for Apple Search Ads is around 9.7% overall for search results campaigns, with top-performing categories like Reference reaching 15.2% and Travel and Utilities apps landing near 11-12%.

Why Apple Calls It "Tap-Through Rate"

Apple measures engagement as tap-through rate (TTR) rather than the CTR terminology used by Google or Meta, calculated the same way — taps divided by impressions — but reflecting that App Store users are tapping on a mobile screen rather than clicking a link. The 9.7% overall average sits far above typical search or display CTR benchmarks on other platforms, largely because Apple Search Ads appear directly within App Store search results where user intent to find and install an app is already high.

Performance by Category

• Reference apps: 15.2% TTR, the highest-performing category, reflecting users searching with very specific, high-intent queries
• Travel apps: 11.8% TTR
• Utilities apps: 11.3% TTR
• Overall average across search results campaigns: 9.7% TTR

Categories with more specific, needs-based search behavior — someone searching for a particular reference tool or travel service by name or close variant — consistently outperform categories where App Store search is more exploratory.

Why TTR Runs So Much Higher Than Web CTR Benchmarks

The core reason Apple Search Ads TTR looks high compared to typical web advertising CTR is placement: these ads appear at the very top of App Store search results for a search the user just typed, competing with organic results for the same query rather than interrupting unrelated content. That's a fundamentally higher-intent moment than most display or social placements, which is why a "good" number on this platform (9.7%+) sits well above what would be considered strong performance on most other ad surfaces.

What a Below-Average TTR Usually Means

An app campaign landing meaningfully below 9.7% TTR is often targeting broader, less specific keywords where competing apps have a similarly loose match to the search term, diluting the intent advantage that makes Apple Search Ads perform well in the first place. Narrowing keyword targeting toward terms that closely match what the app actually does — the same dynamic that pushes Reference apps to 15.2% — is the most direct lever for moving TTR back toward or above the category average.

Why TTR Alone Doesn't Tell the Full Story

A high tap-through rate confirms that App Store users find an ad's keyword-to-app match compelling enough to tap, but it says nothing about what happens after that tap — whether the user actually installs the app, and whether that install turns into an active, retained user. A campaign chasing TTR by bidding on the broadest possible high-volume terms can post an impressive tap-through number while quietly attracting users who tap out of curiosity rather than genuine intent to use the app, which shows up later as a weak install-to-retention rate even though the top-line TTR looked strong.

Using TTR as a Diagnostic, Not a Goal

The most productive way to use these benchmarks is as an early diagnostic rather than the ultimate success metric: a campaign sitting well below its category's typical TTR is very likely a keyword relevance problem worth fixing immediately, while a campaign already at or above the category average should be evaluated on downstream conversion metrics rather than pushed to chase an even higher tap-through number.

Bottom Line

Use 9.7% as the baseline TTR to judge an Apple Search Ads campaign against in 2026, expect category leaders like Reference apps to clear 15%, and treat a TTR well below that average as a signal to tighten keyword-to-app relevance before assuming the campaign needs a bigger budget.

Sources: SplitMetrics, "Apple Ads Search Results Benchmarks Report 2025."