appeeky/aso-skills

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.

소스 보기
원본 Skill 문서

원본 저장소의 제목, 예시, 코드, 표, 링크, 이미지를 유지해 표시합니다.

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

PlacementWhere it appearsBest for
Search ResultsBelow the first organic result for a keywordKeyword-specific intent capture
Search TabTop of the Search tab before user typesBrand awareness, broad reach
Today TabApp Store home pageHigh-visibility brand moments
Product PagesCompetitor and related app pagesCompetitive 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 TypeHow it worksUse for
ExactOnly triggers on exact keywordHigh-value, proven terms
BroadTriggers on variations, related termsDiscovery
Search MatchApple auto-matches your app to relevant searchesDiscovery 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:

bash
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

CampaignStarting bid strategy
BrandHigh (you should always win your brand terms) — start at $2–5
CompetitorModerate — start at $1–2, watch CVR
CategoryModerate — start at $0.80–1.50
DiscoveryLow — start at $0.50–0.80

Bid Optimization Signals

SignalAction
Low impression share (<50%)Increase bid
High TTR but low conversionImprove product page or paywall
Low TTRCreative may not match keyword intent
High CVR but spend not scalingIncrease bid or budget cap
CPT rising with no CVR improvementReduce 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

MetricFormulaBenchmark
TTRTaps / Impressions> 5% strong; < 3% investigate creative
CVRInstalls / Taps> 50% good; < 30% review product page
CPTSpend / TapsVaries by category
CPISpend / InstallsVaries; compare to LTV
ROASRevenue / 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
같은 저장소의 Skills

더 많은 Skills

모든 Skills
appeeky
커뮤니티

asc-metrics

When the user wants to analyze their own app's actual performance data from App Store Connect — real downloads, revenue, IAP, subscriptions, trials, or country breakdowns synced via Appeeky Connect. Use when the user asks about "my downloads", "my revenue", "how is my app performing", "ASC data", "sales and trends", "my subscription numbers", "App Store Connect metrics", or wants to compare periods or top markets. For third-party app estimates, see app-analytics. For subscription analytics depth, see monetization-strategy.

설치 수
1
GitHub Stars
2.1천
업데이트
8월 22일
appeeky
커뮤니티

creator-ugc-marketing

When the user wants to plan, brief, source, or measure organic creator / influencer / UGC marketing for their app — including TikTok creators, Instagram Reels, YouTube Shorts, micro-influencers, paid creator briefs, UGC ad creative for Meta/TikTok, affiliate programs, and seeding strategy. Use when the user mentions "creators", "influencers", "TikTok marketing", "UGC", "user-generated content", "creator briefs", "creator outreach", "influencer marketing", "Reels", "Shorts", "creator gifting", "seeding", "affiliate", "Whop", "TikTok Spark Ads", "Instagram collab posts", or "I want my app to go viral on TikTok". For paid social ad campaigns (Meta/TikTok ad accounts), see ua-campaign. For PR / press, see press-and-pr. For viral in-app loops, see referral-program.

설치 수
3
GitHub Stars
2.1천
업데이트
8월 22일
appeeky
커뮤니티

category-positioning

When the user wants to choose, change, or evaluate their App Store / Google Play category and subcategory — including primary vs secondary category trade-offs, chart-rank competitive analysis, category-driven discoverability, and how category choice affects featuring eligibility. Use when the user mentions "which category", "App Store category", "primary category", "secondary category", "change my category", "Health & Fitness vs Lifestyle", "Productivity vs Utilities", "rank higher in a smaller category", "category chart", "subcategory", "Play Store category", or "should I switch categories". For full ASO health beyond category, see aso-audit. For competitor analysis within the chosen category, see competitor-analysis. For chart movements within categories, see market-movers.

설치 수
2
GitHub Stars
2.1천
업데이트
8월 22일
appeeky
커뮤니티

paywall-optimization

When the user wants to design, test, or optimize their app's paywall — layout, copy, pricing display, trial offers, plan structure, hard vs soft paywall, paywall placement, or paywall A/B tests. Use when the user mentions "paywall", "paywall design", "paywall conversion", "trial-to-paid", "soft paywall", "hard paywall", "paywall A/B test", "paywall copy", "plan picker", "annual vs monthly display", "best paywall", "RevenueCat paywall", "Superwall", "Adapty", or "my paywall isn't converting". For overall pricing strategy and monetization model choice, see monetization-strategy. For trial nurture, dunning, and churn, see subscription-lifecycle. For where in the onboarding the paywall fires, see onboarding-optimization.

설치 수
2
GitHub Stars
2.1천
업데이트
8월 22일