apple-search-ads

eronred/aso-skills · updated Apr 8, 2026

$npx skills add https://github.com/eronred/aso-skills --skill apple-search-ads
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summary

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.

skill.md

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 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 Competitor

Scaling 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 tested

Output 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 ASA
  • screenshot-optimization — Build CPPs for keyword-specific creatives
  • ab-test-store-listing — Test product page CVR before scaling spend

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.858 reviews
  • Ganesh Mohane· Dec 16, 2024

    We added apple-search-ads from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Ishan Abbas· Dec 12, 2024

    Solid pick for teams standardizing on skills: apple-search-ads is focused, and the summary matches what you get after install.

  • Omar Liu· Dec 8, 2024

    apple-search-ads is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Soo White· Nov 27, 2024

    Keeps context tight: apple-search-ads is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Rahul Santra· Nov 7, 2024

    apple-search-ads reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Hana Khan· Nov 3, 2024

    apple-search-ads has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Pratham Ware· Oct 26, 2024

    apple-search-ads is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Liam Ghosh· Oct 22, 2024

    apple-search-ads fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Soo Kim· Oct 18, 2024

    We added apple-search-ads from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Harper Jain· Sep 25, 2024

    Solid pick for teams standardizing on skills: apple-search-ads is focused, and the summary matches what you get after install.

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