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Ads Apple

Skill Aktiv
Teil von:Claude Ads

Apple Ads (formerly Apple Search Ads) deep analysis for mobile app advertisers. Evaluates campaign structure, bid health, Custom Product Pages (CPPs), MMP attribution, budget pacing, TAP coverage (Today/Search/Product Pages), Maximize Conversions bidding, and goal CPA benchmarks by country. Use when user says Apple Ads, Apple Search Ads, ASA, App Store ads, Apple ads, Search Ads, or is advertising a mobile app on iOS.

Zweck

To provide mobile app advertisers with a deep, data-driven analysis of their Apple Ads campaigns, identifying areas for optimization and improvement.

Funktionen

  • Evaluates Apple Ads campaign structure
  • Analyzes bid health and performance metrics
  • Assesses Custom Product Pages (CPPs) and their impact
  • Reviews MMP attribution and AdAttributionKit integration
  • Assesses budget pacing and TAP coverage
  • Compares performance against industry benchmarks by country and category

Anwendungsfälle

  • Use when a user requests an audit of their Apple Ads campaigns.
  • Use when a user needs to understand why their Apple Ads performance is declining.
  • Use when a user wants to optimize their Apple Ads strategy for better ROI.
  • Use when a user needs to benchmark their Apple Ads performance against industry standards.

Nicht-Ziele

  • Creating or managing Apple Ads campaigns directly.
  • Providing real-time bidding adjustments.
  • Analyzing ad performance on platforms other than Apple Ads.
  • Providing generic marketing advice not specific to Apple Ads analysis.

Workflow

  1. Collect Apple Ads account data
  2. Identify active placement types
  3. Evaluate predefined checks for PASS, WARNING, or FAIL
  4. Calculate ASA Health Score (0-100)
  5. Generate findings report with action plan

Praktiken

  • Performance Analysis
  • Campaign Optimization
  • Data-driven Decision Making

Voraussetzungen

  • Apple Ads account data (exports or pasted metrics)

Practical Utility

  • warning:Usage examplesThe SKILL.md file outlines the process and data requested but lacks concrete, end-to-end usage examples showing input, invocation, and observable outcome.
  • info:Edge casesThe SKILL.md mentions specific platform changes and deprecated features, but a dedicated section detailing failure modes and recovery steps for user-provided data is absent.

Execution

  • info:ValidationWhile the skill specifies what data to request, explicit schema validation or sanitization for user-provided inputs is not detailed.

Code Execution

  • info:Error HandlingThe SKILL.md outlines the process but does not detail specific error handling mechanisms for invalid user input or analysis failures.
  • info:Halt on unexpected stateThe skill outlines analysis criteria but does not explicitly state how it halts or reports on unexpected pre-state conditions of user-provided data.

Documentation

  • warning:Phantom featuresWhile the README lists many platforms, the SKILL.md for this specific extension only details Apple Ads, suggesting potential phantom features advertised at the repository level for other platforms not implemented here.

Errors

  • info:Actionable error messagesThe SKILL.md describes the analysis process but does not explicitly detail error handling for user input or analytical failures, which could hinder actionable error reporting.

Portability

  • info:Cross-skill couplingThe README mentions other platform audits, but the SKILL.md for Apple Ads is self-contained and does not explicitly link to or rely on other skills.

Installation

Zuerst Marketplace hinzufügen

/plugin marketplace add AgriciDaniel/claude-ads
/plugin install claude-ads@agricidaniel-claude-ads

Qualitätspunktzahl

88 /100
Analysiert 1 day ago

Vertrauenssignale

Letzter Commit20 days ago
Sterne4.8k
LizenzMIT
Status
Quellcode ansehen

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