AGENT SKILLBY ERONRED
Apple search ads
AT A GLANCE
Apple search ads is a paid ads agent skill from eronred. Provides specialist in Apple Search Ads (ASA) — the only ad platform that places ads natively within the App Store. The eronred/aso-skills repository on GitHub has 1.6K stars and the MIT license. To add it, run npx skills add eronred/aso-skills --skill apple-search-ads
- SOURCE REPOSITORY
- eronred/aso-skills (opens GitHub in a new tab)
- REPO STARS
- SOURCE REPOSITORY
- LICENSE
- MIT
- CATEGORIES
- SKILL.MD SIZE
- 6.8 KB199 LINES
QUICK ANSWER
- WHAT IT IS01
- Provides specialist in Apple Search Ads (ASA), the only ad platform that places ads natively within the App Store. It stands out by giving paid media a defined shape, so the agent asks for better context and returns a more usable result.
- INPUTS02
- Context for paid media: your goals, audience, constraints, and any source material the skill asks for.
- OUTPUT03
- A ready-to-use result for paid media: the analysis, copy, or recommendations the agent produces.
INSTALL
One command adds this skill from its source repository.
npx skills add eronred/aso-skills --skill apple-search-adsREAD THE SKILL.MD BELOW BEFORE YOU RUN IT. SKILLS INSTRUCT YOUR AGENT.
SKILL.MD
The full file, as published in the source repository. Copy it, download it or open it on GitHub.
ON THIS PAGE · 19
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=usNegative 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 screenshotsWhy 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 keyword → adjust bids where < 50%
- [ ] Pause keywords with 100+ taps and 0 installs
- [ ] Review TTR per ad group → test new CPS/CPP if TTR < 3%
- [ ] Check budget pacing — no campaigns hitting daily cap before noon
- [ ] Compare CVR across campaigns — Category vs Brand vs CompetitorScaling Checklist#
Before increasing budget:
- [ ] CVR > 30% on main campaigns
- [ ] CPI < 3× your target
- [ ] Bid strategy is manual and stable
- [ ] Negative keyword list maintained
- [ ] At least 2 CPP variants testedOutput Format#
Campaign Audit#
Account: [App Name]
Campaign Structure:
✓/✗ Brand campaign
✓/✗ Competitor campaign
✓/✗ Category campaign
✓/✗ Discovery campaign
Performance ([period]):
Impressions: [N]
Taps: [N] (TTR: [X]%)
Installs: [N] (CVR: [X]%)
CPI: $[N]
Spend: $[N]
Top issues:
1. [issue] — [recommended fix]
2. [issue] — [recommended fix]
Priority actions:
1. [specific change] — Expected impact: [rationale]
2. [specific change] — Expected impact: [rationale]Related Skills#
ua-campaign— Full paid UA across all channels (Meta, Google, TikTok)keyword-research— Identify keywords to target in ASAscreenshot-optimization— Build CPPs for keyword-specific creativesab-test-store-listing— Test product page CVR before scaling spend
FAQ
07 QUESTIONS
01What is the Apple search ads agent skill?
Provides specialist in Apple Search Ads (ASA), the only ad platform that places ads natively within the App Store. It is listed under paid ads in the 100xLab agent skills directory.
02How do I install Apple search ads in Cursor, Claude Code, or Codex?
Run npx skills add eronred/aso-skills --skill apple-search-ads in the project where you want it, then ask your agent for the skill by name. The --skill flag installs only Apple search ads, not every skill in the repository.
03What does the Apple search ads SKILL.md cover?
The SKILL.md includes sections on Why ASA Is Different, Campaign Types, Account Structure, Why Separate Campaigns, Match Types and Keyword Strategy. Read the full text on this page or in plain markdown at /resources/agent-skills/eronred-aso-skills--apple-search-ads--toh0jb/raw.
04Which agents can use Apple search ads?
Apple search ads installs with the cross-agent skills installer (npx skills add), which sets it up for agents such as Claude Code, Cursor and Codex. Each agent loads the SKILL.md when you ask for the skill by name.
05What license is Apple search ads under?
The eronred/aso-skills repository declares the MIT license. Read the license file in the repository before you copy or redistribute the skill.
06Is Apple search ads free to use?
Reading, copying and installing Apple search ads costs nothing: it is published in a public GitHub repository under the MIT license. Reuse and redistribution follow that license.
07Where is the source of Apple search ads?
Apple search ads comes from https://github.com/eronred/aso-skills, which has 1.6K GitHub stars. The SKILL.md is at https://github.com/eronred/aso-skills/blob/HEAD/skills/apple-search-ads/SKILL.md. The author is eronred.
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ATTRIBUTION
Apple search ads was written by its original authors and is published in eronred/aso-skills (opens GitHub in a new tab) under the MIT license. All rights stay with the original authors.
100xLab did not write, maintain or endorse this skill. This page lists it for discovery. Repo stars belong to the source repository, not to the skill. Review any skill before you install it.