Apple Search Ads

appeeky/aso-skills/skills/apple-search-ads

作者 appeeky3919d7c27402无许可证2.1K 个星标收录于 2026年10月8日更新于 2026年10月8日仓库2天前更新

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.

仅含说明Marketing & Sales
AI 生成的概览

指导 Apple Search Ads 广告系列搭建、关键词出价、匹配类型、CPP 路由与 ROAS 优化。

功能
该技能提供 Apple Search Ads(ASA,App Store 原生广告平台)的专业指导。内容涵盖广告展示位置与账户结构、匹配类型、关键词与否定关键词策略、起始出价与出价优化信号、创意产品集(CPS)与自定义产品页(CPP)路由,以及 TTR、CVR、CPT、CPI、ROAS 等指标基准。它还提供每周优化与扩量检查清单,以及广告账户审核的输出格式。
适用场景
适用于搭建、优化或扩大 Apple Search Ads 广告系列时,包括关键词出价、匹配类型、广告结构、创意产品集、CPP 路由和 ROAS 优化。当用户提到 ASA、Search Ads、搜索标签页或 Today 标签页广告、CPT、TTR、Search Match、精确或广泛匹配、广告中的 CPP、ASA 出价或 Search Ads 预算时也适用。
运行要求
无需脚本或工具,仅为说明性内容。其中提到用于验证搜索量与难度的外部关键词指标 API(Appeeky),以及用于设置自定义产品页的 App Store Connect。

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=usGET /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 screenshotsAd Group: "sleep sounds" keyword → CPP: Sleep-themed screenshotsAd 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

来源与署名

来源:appeeky/aso-skills位于skills/apple-search-ads提交3919d7c

许可证: 无许可证

内容归原作者所有。SourceWeft 从公开仓库中收录这些内容。

举报或申请下架