From 70% Lower CPA to 2x ROAS: Apple Ads Optimization Patterns That Work, by Business Model

In Apple Ads (formerly Apple Search Ads, or ASA) management, the challenge you face depends entirely on your app’s business model: “We want to lower our cost per acquisition (CPA)”, “We want to maximize revenue (ROAS)”, or “We just want to drive as many installs (volume) as possible.”

Here are three cases in which the Apple Ads optimization tool Astra delivered dramatic improvements for apps with different business models.

The Key to Success Is Designing Metrics Around the Business Model

Astra’s biggest strength is that it lets you flexibly switch the KPIs (metrics) you pursue to match the app’s goal.

• For subscription apps: “free trial acquisition”
• For finance and e-commerce apps: “purchase or deposit amount”
• For utility and game apps: “number of installs”

By optimizing the automated bidding logic for each KPI, Astra achieves two conflicting outcomes at once: “cost reduction” and “volume maximization”.

Case 01: [Subscription] Outdoor App

Automated management based on a target CPA sharply reduced acquisition cost. The app was struggling with declining acquisition efficiency as bid prices climbed, so we introduced automated management with a strictly defined “target CPA”.

• Trial CPA: down 70%
• Trial starts: 2.6x

By holding back bids on inefficient keywords where CPA had spiked and shifting budget to queries more likely to convert, we cut acquisition cost to less than one third while growing the number of trial users 2.6 times.

Case 02: [Finance] Asset Management and Investment App

We set “deposits” as the conversion point and maximized ROAS (return on ad spend). By connecting actual “first deposit” data, we ran ROAS-focused optimization that targets users with high LTV (customer lifetime value).

• First deposit amount (revenue): 1.96x
• Deposit CPA: down 35%

We reduced delivery to “users who install but never deposit” and strengthened bids on “users likely to make large deposits”. By concentrating delivery on high-quality users, we lowered CPA while raising total revenue to roughly double.

Case 03: [Utility] Lifestyle App

We kept CPI under control while expanding delivery placements, and doubled installs. For an app whose demand surges with the season and weather, you need to acquire a large number of users without missing opportunities. We ran a volume-focused program that widened the bidding range while keeping CPI (cost per install) below a set line.

• Installs (delivery volume): 2x
• CPI: improved 24%

By automatically bidding across the full range of long-tail keywords (compound terms) that are impossible to manage by hand, we uncovered user segments that can be acquired cheaply, lowering acquisition cost while doubling reach.

Summary: Automated Optimization That Delivers Results on Any KPI

As these three cases show, when an app’s category or lifecycle stage differs, so does the goal it should aim for.

• Cost focus (improving CPA/CPI)
• Revenue focus (raising ROAS/deposit amount)
• Scale focus (expanding volume)

Whatever the challenge, designing the right data-driven algorithm lets you unlock the full potential of Apple Ads. If you would like help with your Apple Ads management, please get in touch.