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ads-appleADS Apple 搜索

Agent Skill

ads-apple 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:ads-apple(ADS Apple 搜索)
来源仓库:https://github.com/agricidaniel/claude-ads
仓库路径:skills/ads-apple
安装命令:
npx skills add https://github.com/agricidaniel/claude-ads --skill ads-apple
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/agricidaniel/claude-ads --skill ads-apple

简介

用于分析 Apple Search Ads 账户结构与健康度,评估广告活动配置与行业基准表现。

  • 可检查品牌关键词、竞品投放、漏斗层级覆盖情况,输出健康评分与优化建议。
  • 需输入 Apple Ads 导出数据或手动粘贴指标,支持多平台对比与结构诊断。
  • 安装命令为 npx skills add https://github.com/agricidaniel/claude-ads --skill ads-apple,建议核验数据来源真实性与权限范围。
  • ads-apple 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Apple Ads (formerly Apple Search Ads) Deep Analysis

Process

  1. Collect Apple Ads account data (exports from Apple Ads dashboard or pasted metrics)
  2. Identify active placement types (Search Results, Search Tab, Today Tab, Product Pages)
  3. Evaluate all applicable checks as PASS, WARNING, or FAIL
  4. Calculate ASA Health Score (0-100)
  5. Generate findings report with action plan

What to Analyze

Campaign Structure (25% weight)

BOFU; Bottom of Funnel (Search Results, Exact Match brand)

  • Brand keyword campaign present (own app name + misspellings)
  • Competitor campaign present (competitor app names as keywords)
  • Category campaigns targeting high-intent generic terms (e.g. "workout app", "budget tracker")

MOFU; Middle of Funnel (Search Match / broad discovery)

  • Search Match campaigns active in at least one ad group for discovery
  • Search Match ad groups isolated from Exact Match (separate ad groups; never mix)
  • Search Terms Report reviewed to mine converting queries for Exact Match promotion

Campaign Architecture Rules:

  • Brand / Category / Competitor should be separate campaigns (different CPT bids, budgets)
  • Search Match ad groups isolated from manual keyword ad groups; NEVER mix in same ad group
  • Goal: let Search Match discover, then promote winners to Exact Match campaigns

Bid Health (20% weight)

CPT (Cost Per Tap) vs Install Rate by Match Type:

  • CPT vs category benchmarks (see Benchmarks section below)
  • TTR (Tap-Through Rate): benchmark >2.5% for Search Results, >1.5% for Search Tab
  • Conversion Rate (tap → install): benchmark 50-65% for brand terms, 20-40% for category
  • CPT/CPG (Cost Per Goal): compare against target CPI/CPA from MMP

Bid Strategy:

  • Manual CPT bidding appropriate for small/new accounts
  • Maximize Conversions (GA February 26, 2026): AI-powered auto-bidder using Search Match that sets optimal bids per search query in real time. Target CPA (weekly average target) replaces CPA Cap (being deprecated). Recommended daily budget: at least 5x target CPA. Two-week learning period minimum. Current limitation: only optimizes for installs, NOT post-install events (no trial, subscription, or ROAS optimization yet)
  • CPA Goals available at campaign level; evaluate if conversion volume supports it (>100 installs/month per campaign)
  • Are bids differentiated by match type? (Brand Exact > Category Exact > Search Match)
  • Keyword-level CPT bids set, not just ad group default?

Keyword Health:

  • Irrelevant Search Terms (from Search Match) identified and excluded via negative keywords
  • Low-performing keywords paused or bid reduced (TTR <1% + high CPT)
  • High-volume generic terms checked for intent quality (avoid "free apps" type queries)

Custom Product Pages (15% weight)

Creative Sets fully deprecated. CPPs are now the sole ad variation mechanism. CPP limit doubled to 70 in October 2025.

Custom Product Pages (CPP):

  • CPPs created in App Store Connect? (up to 70 per app as of Oct 2025)
  • At least 3 CPP variants tested per campaign type (different value props per audience)
  • CPP assets aligned with ad group keyword themes (e.g. fitness keywords → fitness screenshots)
  • CPPs increase conversion rates ~8% for games, ~6.6% for non-gaming apps (AppTweak data)
  • SoundCloud case study: CPPs in competitor campaigns led to 58% CR increase, 39% CPI reduction
  • Critical: 78% of App Store search volume comes from devices with Personalized Ads off. Use creative-based targeting (CPP asset alignment) rather than demographic audience filters

Default (Store Listing) Creative:

  • App icon, subtitle, and first 3 screenshots optimized; these show in ads by default
  • Short description (170 chars) compelling and keyword-rich
  • Preview video present (strongly recommended for TTR improvement)

Creative Testing:

  • CPP performance compared: which variant has highest TTR and lowest CPI?
  • Deep links in CPPs available on iOS/iPadOS 18+ (test for re-engagement)
  • CPPs can now be assigned organic keywords (WWDC 2025), bridging paid/organic optimization

Attribution & MMP Health (15% weight)

MMP Integration (Critical):

  • MMP (AppsFlyer / Adjust / Branch / Singular) integrated with Apple Ads via AdAttributionKit + ATT
  • Apple Ads properly connected as a partner in MMP dashboard
  • In-app events being sent back to Apple Ads (enables Maximize Conversions and ROAS optimization)
  • Post-install event quality: are purchase, subscription_start, or other revenue events tracked?

AdAttributionKit & Dual Attribution (April 10, 2025):

  • Apple Ads registered with AdAttributionKit (SKAN v1-3), creating dual attribution for the first time
  • Installs now report through BOTH SKAN/AAK postbacks AND the AdServices API
  • WWDC 2025: configurable attribution windows, overlapping re-engagement windows, and country codes in postbacks
  • SKAdNetwork conversion values configured in MMP (maps user actions to conversion windows)
  • ATT opt-in rate monitored (low ATT rate = less MMP data, more reliance on SKAN/AAK)
  • Privacy threshold considerations: are campaigns getting postbacks or null reports?

Attribution Windows:

  • Default Apple Ads attribution: 30-day click, 1-day view; appropriate for app install goals?
  • WWDC 2025 added configurable windows and overlapping re-engagement windows
  • For re-engagement or subscription goals: evaluate longer lookback windows

Budget Pacing (10% weight)

  • Daily cap set at campaign level (budget pacing in ASA is daily, not monthly)
  • Actual daily spend vs daily cap ratio: flag if consistently hitting cap (could be missing volume)
  • Conversely: flag if spend is <50% of daily cap (creative or bid issue, not budget)
  • Budget split across placement types aligned with performance (don't over-invest in underperforming placements)
  • Lifetime budget campaigns (if used): check end dates and pacing curves

TAP Coverage: Placement Types (10% weight)

ASA offers 4 placement types; evaluate coverage and performance:

PlacementWhereBest forBenchmark CPT
Search ResultsBelow search resultsHigh intent, bottom funnel$0.50-$3.00
Search TabTop of Search tabDiscovery, mid funnel$0.30-$1.50
Today TabApp Store homeBrand awareness$1.00-$5.00
Product PagesCompetitor/related app pagesCompetitor conquesting$0.50-$2.00

Evaluation:

  • Search Results: must be active (highest intent placement)
  • Search Tab: active for scale? Evaluate CPT and TTR vs Search Results
  • Today Tab: only if budget >$3k/month and brand awareness is a goal (high CPT, low intent)
  • Product Pages: competitive opportunity; are competitor CPPs being targeted?

Goal CPA / KPI Assessment (5% weight)

Benchmarks by Category (2025-2026 ASA averages):

CategoryAvg CPTAvg TTRAvg Install CVRTarget CPI
Games$0.50-$1.003-5%55-70%$1.00-$3.00
Health & Fitness$1.50-$3.002-4%45-60%$3.00-$8.00
Productivity$1.00-$2.502-3.5%50-65%$2.00-$5.00
Finance$2.00-$5.001.5-3%40-55%$5.00-$15.00
Education$1.00-$2.002-4%50-65%$2.00-$6.00
Shopping$0.80-$2.002.5-4%45-60%$2.00-$5.00
Lifestyle$0.80-$1.802-3.5%45-60%$2.00-$5.00

Country-level benchmarks:

  • Tier 1 (US, UK, AU, CA, JP): CPT 2-3× above global average; highest LTV
  • Tier 2 (DE, FR, KR, SG, HK): CPT 1-1.5× above global average
  • Tier 3 (BR, IN, MX): CPT 30-60% below Tier 1; high volume, lower LTV

Checks:

  • Actual CPI vs target CPI (from MMP); flag if >2x target
  • CPI trend over 30 days (improving or worsening?)
  • Revenue events: is ROAS positive within MMP attribution window?

Overall Benchmarks (2025 SplitMetrics data)

MetricSearch Results Average
TTR (Tap-Through Rate)9.7%
Conversion Rate66.2%
CPT (Cost Per Tap)$2.25
CPA (Cost Per Acquisition)$3.76
  • US is the highest-cost market
  • AMEI (Africa/Middle East/India) is most cost-efficient and stable
  • International markets often deliver 3-5x better CPI than US with comparable LTV for subscription apps

Platform Changes (v1.5)

IDCheckSeverityNotes
ASA-MA1Multiple ads per query readinessMediumRolling out March 2026: up to 2 ads per search query (was 1). Changes competitive dynamics: more search results real estate available. Evaluate bid strategy for increased competition

Deprecated:

  • Creative Sets: fully deprecated. Only CPPs now (up to 70 per app)
  • CPA Cap: being retired in favor of Target CPA via Maximize Conversions
  • Demographic audience targeting as primary strategy: 78% of App Store search volume comes from devices with Personalized Ads off

Output Format

## Apple Ads Audit

**ASA Health Score: [X]/100**

### Critical Issues ([count])
- [Issue with specific impact and fix]

### High Priority ([count])
- [Issue]

### Campaign Structure
PASS/WARNING/FAIL for each check category

### Benchmark Comparison
[Metric] | Your Account | ASA Benchmark | Status

### Quick Wins (do this week)
1. [Most impactful fix with expected outcome]
2.
3.

### Recommended Next Steps
[Prioritized action plan]

Scoring Weights

CategoryWeight
Campaign Structure25%
Bid Health20%
Custom Product Pages15%
Attribution & MMP15%
Budget Pacing10%
TAP Coverage10%
Goal KPI Assessment5%

Data to Request from User

If not provided, ask for:

  • Campaign list with spend, installs, CPT, TTR, CVR (last 30 days)
  • Active placement types
  • MMP being used (AppsFlyer, Adjust, Branch, Singular, or none)
  • Target CPI / CPA and app category
  • Countries/regions active
  • Whether Custom Product Pages are set up in App Store Connect

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安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.04%
按下载量换算838

Claude

31.35%
按下载量换算750

Cursor

19.04%
按下载量换算455

Gemini CLI

9.26%
按下载量换算221

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