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What is Apple Search Ads (ASA)?

Definition, examples, and more

Definition

Apple’s paid user acquisition channel that displays targeted ads at the top of App Store search results. ASA allows marketers to bid on keywords, define demographic and behavioral targeting, and optimize campaigns based on user value post-install, such as subscription conversion or trial start.

How to Calculate

Cost Per Install (CPI) = Total Ad Spend / Total Installs. Cost Per Trial = Total Ad Spend / Trial Starts. Cost Per Subscriber = Total Ad Spend / Paid Conversions. ROAS = Revenue from ASA Users / Total ASA Spend.

Example

A calorie counting app bids $2.50 on the keyword ‘calorie tracker’ through Apple Search Ads. At a 45% tap-through rate and 38% conversion-to-install rate, their effective cost per install is $14.60. With a 12% trial-to-paid conversion and $59.99 annual plan, each ASA subscriber generates $7.20 in first-year net revenue.

Why Apple Search Ads (ASA) Matters

Apple Search Ads captures users at the highest point of intent — they are literally searching for an app like yours. A workout app found that ASA users had 2x higher trial-to-paid conversion rates compared to Facebook ad users (28% vs 14%) because the search intent was so strong. Despite higher CPIs, ASA delivered 40% better ROAS when measured on a 12-month LTV basis.

Frequently Asked Questions

What is a good cost per install for Apple Search Ads?

CPIs vary wildly by category and keyword competition. Utility apps might see $1-3 CPIs, while health and fitness apps typically range from $3-8. Finance apps can hit $10-20+. The real metric to optimize is cost per subscriber or ROAS, not just CPI.

How do I optimize Apple Search Ads for subscription apps?

Focus on downstream metrics, not just installs. Set up postback integration (via Botsi or your MMP) to track trial starts and paid conversions per keyword. Bid higher on keywords that drive subscribers, not just installs. Use Search Match discovery campaigns to find high-converting keywords you had not considered.

Should I bid on competitor keywords in Apple Search Ads?

Yes, but carefully. Competitor keywords often have lower conversion rates since users were looking for a specific app. However, they can work well if your app offers clear differentiation. Test with a small budget first, and measure trial-to-paid conversion — not just installs — to determine if it is worth scaling.

Category
Subscription App Terminology
Related Area
Mobile App Growth & Monetization

More terms starting with “A

A/B testing

A method of product experimentation in which users are randomly split into two or more cohorts (e.g., Group A and Group B), with each group exposed to a different variation of a feature such as copy, design, or pricing. A primary success metric is established before the test begins, and the outcome is typically measured using frequentist statistics and confidence intervals to determine if one version outperforms the other — or if results are inconclusive.

Activation

A key stage in the customer lifecycle that occurs after acquisition. Activation is defined by a user completing a high-value action for the first time — such as starting a trial, making a purchase, or engaging with a core feature. The exact definition depends on the app’s monetization model and business goals.

Active subscriber

A user who currently has an active, paid subscription. This excludes users in a grace period, trial, or lapsed state, and is typically the core population used when calculating MRR or churn rate.

App store optimization (ASO)

The process of improving an app’s visibility in app store search results and browse sections (e.g., on Apple’s App Store or Google Play). ASO involves optimizing elements like the app name, description, keywords, icon, screenshots, and video preview to drive organic installs and improve conversion rates from page views to downloads.

ARPU (Average Revenue Per User)

A performance metric that represents the average revenue generated per user over a defined period. ARPU is calculated by dividing total revenue by the number of active users during that time frame (e.g., monthly). It can be segmented by platform, geography, or acquisition source to assess the value of different user cohorts. While related to LTV, ARPU is time-bound, whereas LTV spans the full customer lifecycle.

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