Apple Search Ads (ASA) is Apple's ad platform for promoting apps within the App Store. The flagship product shows your app at the top of search results when users search for relevant keywords. ASA is the highest-intent paid acquisition channel on iOS because the user has actively searched for something your app provides — they're not being interrupted with an ad while doing something else; they're already in the App Store, looking for an app.
One unexpected finding: only about a third of US iOS apps running paid UA actually use ASA. The other two-thirds run paid acquisition entirely through Meta, TikTok, Google App Campaigns, and ad networks — not ASA. ASA isn't the default paid channel — it's a specialist channel concentrated among ~35% of paid-UA programs, mostly subscription consumer apps and productivity tools where the channel's high-intent traffic converts hardest. Among ASA-using apps, median ASA share of paid installs is 36%, and the top decile clears 78%.
ASA placements in 2026
- Search Results — flagship product. Your app appears at the top of search results when users search for keywords you've bid on. Marked "Ad" in light gray. Highest-intent placement.
- Search Tab — your app appears in suggested apps when users open the Search tab. Lower intent than search results (user hasn't searched yet) but cheaper.
- Today Tab — your app appears in the Today tab's main feed. Broad reach, lower intent, more expensive per quality install.
- Product Page Ads — your app appears on relevant competitor product pages. Newer placement, useful for direct competitive targeting.
Why ASA is uniquely valuable
- High intent — search-driven traffic converts 2-3× better than browse / interruption traffic. Trial-to-paid conversion is usually higher for ASA-acquired users than Meta-acquired users.
- First-party data — Apple has rich first-party signal from in-App-Store behavior. ASA's bidding can optimize against signals that Meta / TikTok can't see post-ATT.
- Direct deterministic attribution — Apple's own attribution API delivers ASA attribution without SKAN's aggregation / delay. Cleaner signal than other iOS channels.
- Brand defense — competitors will bid on your brand name in ASA. If you don't bid on your own brand, you give up the top-of-search slot to a competitor.
- Long-tail keyword reach — head terms ("photo editor") are expensive; long-tail ("AI photo edit lighting") can be very cheap with strong intent.
ASA pricing model: cost-per-tap (CPT) bidding on Search Results. You bid the max you're willing to pay per tap; you only pay when a user taps your ad. Conversion to install is then on the user — your CPT doesn't depend on the install happening. Effective CPI = CPT ÷ (install rate from tap). Mature ASA campaigns target install rate above 60% (vs Apple's default discovery campaigns at 30-50%) by bidding selectively on high-conversion keywords.
Common ASA campaign structures
- Brand-defense campaigns — bid on your own brand name + variants. Cheap (no competition usually), protects top-of-search.
- Competitor campaigns — bid on competitor brand names. Aggressive growth move, watch CPI carefully.
- Generic head-term campaigns — bid on category-defining keywords ("meditation", "budget tracker"). Expensive but high-intent.
- Long-tail campaigns — bid on specific feature / use-case keywords. Cheap, high-converting, scalable.
- Discovery campaigns — Apple's broad-match product where Apple selects keywords; useful for keyword research.
ASA tooling: Apple provides a free dashboard (ads.apple.com). Major third-party tools that wrap ASA for bid management and analytics: Adjust ASA, AppsFlyer's Single Source of Truth, Bidshake, SearchAdsHQ, Apptweak. For programs spending less than $50K / month, the Apple dashboard alone is usually sufficient. Beyond that, third-party tooling pays for itself in optimization.
The histogram shows the bimodal pattern clearly: a massive cluster at <10% ASA share (apps that diversify across Meta/TikTok/Google with ASA as a small slice) and a smaller cluster at 50-100% (ASA-dominant programs). The middle is sparse — apps either treat ASA as a side channel or as their primary paid placement, rarely as a 30-50% even mix. Picking which mode is right is one of the first ASA strategy decisions.
ASA usage by category — US iOS, MWM
| Category | % of paid-running apps using ASA | Median ASA share among ASA-using apps |
|---|---|---|
| Media & Entertainment | 37.8% | 45.3% |
| Education & Knowledge | 37.5% | 50.0% |
| Social & Communication | 36.5% | 53.8% |
| Game | 36.1% | 16.5% |
| Lifestyle & Well-being | 30.5% | 56.4% |
| Productivity & Tools | 27.5% | 58.1% |
Category breakdown reveals where ASA concentrates. The "% using ASA" column varies meaningfully — some categories see almost every paid-UA app touch ASA at least once, others see less than half. Use the category-level ASA adoption rate as a benchmark for whether your category considers it a baseline channel or a specialist one.