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/apple-search-ads

When the user wants to set up, optimize, or scale Apple Search Ads (ASA) campaigns — including keyword bidding, match types, campaign structure, Creative Product Sets, CPP routing, and ROAS optimization. Use when the user mentions "Apple Search Ads", "ASA", "Search Ads", "Search

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aso-skills
2.3k40 skills

Claude Code

$ npx -y skills add appeeky/aso-skills --skill apple-search-ads --agent claude-code

SKILL.md

apple-search-ads.SKILL.md
name: apple-search-ads
description: When the user wants to set up, optimize, or scale Apple Search Ads (ASA) campaigns — including keyword bidding, match types, campaign structure, Creative Product Sets, CPP routing, and ROAS optimization. Use when the user mentions "Apple Search Ads", "ASA", "Search Ads", "Search tab ads", "Today tab ads", "CPT", "TTR", "Search Match", "exact match", "broad match", "CPP in ads", "ASA bidding", or "Search Ads budget". For Meta/Google UAC/TikTok paid UA, see ua-campaign.
metadata:
  version: 1.0.0

Apple Search Ads

You are a specialist in Apple Search Ads (ASA) — the only ad platform that places ads natively within the App Store. ASA drives highly qualified installs because users are already in purchase intent.

Why ASA Is Different

  • Users are actively searching the App Store — highest intent of any channel
  • Ads appear exactly like organic results (only "Ad" badge distinguishes them)
  • No audience targeting (demographics, interests) — only keyword-based
  • Conversion data is reliable (no ATT/SKAdNetwork limitations)
  • CPI is typically higher than other channels but LTV is proportionally higher

Campaign Types

| Placement | Where it appears | Best for | |-----------|-----------------|---------| | **Search Results** | Below the first organic result for a keyword | Keyword-specific intent capture | | **Search Tab** | Top of the Search tab before user types | Brand awareness, broad reach | | **Today Tab** | App Store home page | High-visibility brand moments | | **Product Pages** | Competitor and related app pages | Competitive conquesting |

**Start with Search Results.** It's the highest-intent, most measurable, most controllable placement.

Account Structure

Account
└── App (one per app)
    ├── Campaign: Brand
    │   └── Ad Group: Brand keywords
    ├── Campaign: Competitor
    │   └── Ad Group: Competitor app names
    ├── Campaign: Category
    │   └── Ad Group: Generic category terms
    ├── Campaign: Discovery (Search Match)
    │   └── Ad Group: Search Match on (no keywords)
    └── Campaign: Search Tab (optional)
        └── Ad Group: (no keywords needed)

Why Separate Campaigns

  • Separate budgets (protect brand spend from being eaten by generic)
  • Separate bid strategies per intent type
  • Clean performance data per keyword type
  • Easier to pause/scale individual segments

Match Types

| Match Type | How it works | Use for | |------------|-------------|---------| | **Exact** | Only triggers on exact keyword | High-value, proven terms | | **Broad** | Triggers on variations, related terms | Discovery | | **Search Match** | Apple auto-matches your app to relevant searches | Discovery campaign only |

**Workflow:** Use Search Match + broad in discovery. Mine the search terms report weekly. Move top performers to exact match in a separate campaign with higher bids.

Keyword Strategy

Seed List by Campaign

**Brand campaign:**

  • Your app name (exact)
  • Common misspellings
  • Your developer name

**Competitor campaign:**

  • Top 5–10 competitor app names (exact)
  • Tip: bid lower, watch conversion — brand-searchers for competitors convert at lower rates

**Category campaign:**

  • High-volume generic terms: "meditation app", "habit tracker", "budget planner"
  • Long-tail terms: "meditation app for anxiety", "daily habit tracker free"

Use Appeeky to validate volume and difficulty:

GET /v1/keywords/metrics?keywords=meditation+app,mindfulness,sleep+sounds&country=us
GET /v1/keywords/suggestions?term=meditation&country=us

Negative Keywords

Essential to prevent waste. Add negatives at account level:

  • Competitor names you're not targeting (avoid accidentally winning at bad CVR)
  • Irrelevant terms from Search Match (review weekly)
  • Terms with high impressions, zero taps

Bidding Strategy

Starting Bids

| Campaign | Starting bid strategy | |---------|--------------------| | Brand | High (you should always win your brand terms) — start at $2–5 | | Competitor | Moderate — start at $1–2, watch CVR | | Category | Moderate — start at $0.80–1.50 | | Discovery | Low — start at $0.50–0.80 |

Bid Optimization Signals

| Signal | Action | |--------|--------| | Low impression share (<50%) | Increase bid | | High TTR but low conversion | Improve product page or paywall | | Low TTR | Creative may not match keyword intent | | High CVR but spend not scaling | Increase bid or budget cap | | CPT rising with no CVR improvement | Reduce bid or pause keyword |

**Target CPT** = Target CPI × Historical CVR (installs/taps)

Automated Bidding

ASA offers automated bidding toward a target CPA or target ROAS. Use only after:

  • Campaign has 50+ conversions per ad group per week (minimum data)
  • Manual bidding has established a baseline CPT

Creative Product Sets (CPS) and CPP Routing

Link **Custom Product Pages** (CPPs) to specific ad groups to show tailored creatives:

Ad Group: "yoga app" keyword → CPP: Yoga-themed screenshots
Ad Group: "sleep sounds" keyword → CPP: Sleep-themed screenshots
Ad Group: Competitor keywords → CPP: Comparison-focused screenshots

**Why this works:** Users searching "yoga app" see yoga screenshots instead of generic app screenshots. TTR and CVR both improve (typically +15–30%).

Setup: App Store Connect → Custom Product Pages → create pages → ASA → Ad Group → select CPP.

Metrics and Benchmarks

| Metric | Formula | Benchmark | |--------|---------|-----------| | **TTR** | Taps / Impressions | > 5% strong; < 3% investigate creative | | **CVR** | Installs / Taps | > 50% good; < 30% review product page | | **CPT** | Spend / Taps | Varies by category | | **CPI** | Spend / Installs | Varies; compare to LTV | | **ROAS** | Revenue / Spend | > 100% = profitable; target 150%+ |

Weekly Optimization Checklist

- [ ] Review Search Terms report → add top new terms to exact match campaigns
- [ ] Add new negatives from irrelevant search terms
- [ ] Check impression share per
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@eronred
Ships withaso-skills

AI agent skills for App Store Optimization (ASO) and mobile app marketing. Built for indie developers, app marketers, and growth teams who want Cursor, Claude Code, or any Agent Skills-compatible AI assistant to help with keyword research, metadata

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Questions about apple-search-ads.

Which coding agents can use apple-search-ads?
apple-search-ads installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.