ads-apple

Analyze Apple Search Ads account data to compute an ASA Health Score and prioritized action plan.

1|Updated Mar 15, 2026
One-click install
npx skills add https://github.com/kennyolofsson23-netizen/claude-code-config --skill ads-apple-kennyolofsson23-netizen
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ads-apple
Source: https://github.com/kennyolofsson23-netizen/claude-code-config/tree/main/skills/claude-ads/skills/ads-apple
Command: npx skills add https://github.com/kennyolofsson23-netizen/claude-code-config --skill ads-apple-kennyolofsson23-netizen

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill performs a comprehensive Apple Search Ads (ASA) account audit to surface structural, bidding, creative, attribution, placement, and KPI issues that are driving high cost-per-install and poor campaign performance, and it produces a prioritized action plan with an ASA Health Score.

Core Features & Use Cases

  • Campaign architecture checks: Validates brand, category, competitor, and Search Match separation and campaign-level rules.
  • Bid and keyword health analysis: Compares CPT, TTR, install CVR and CPI against benchmarks and flags low-performing keywords and bidding strategy issues.
  • Creative and CPP evaluation: Reviews Creative Sets, Custom Product Pages, and creative testing coverage to improve Tap-Through Rates and conversion.
  • Attribution & MMP validation: Checks MMP integration, SKAdNetwork mapping, ATT opt-in considerations, and event wiring for CPA/ROAS optimization.
  • Budget pacing and placement coverage: Assesses daily caps, pacing issues and placement mix (Search Results, Search Tab, Today Tab, Product Pages).
  • Deliverables: ASA Health Score (0–100), categorized findings (Critical/High/etc.), benchmark comparisons, quick wins, and a prioritized action plan.
  • Use Case: Mobile marketers and UA managers auditing iOS app campaigns who need a deterministic checklist, benchmarks, and executable fixes.

Quick Start

Audit my Apple Search Ads account by pasting the last 30 days of campaign spend, installs, CPT, TTR, CVR, active placements, MMP choice, and target CPI so I can return an ASA Health Score and prioritized fixes.

Frequently Asked Questions about ads-apple

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I audit Apple Search Ads to lower my CPI?

Auditing Apple Search Ads requires analyzing campaign structure, bid health, creative coverage, and budget pacing against target CPI. The audit reviews per-campaign spend, installs, CPT, TTR, and CVR to compute a health score and deliver prioritized fixes.

What metrics are needed for an Apple Search Ads account audit?

An Apple Search Ads audit requires per-campaign metrics including spend, installs, CPT, TTR, and CVR. You also need active placement types, MMP integration details, app category, and target CPI/CPA to compute health scores and benchmark comparisons.

How does MMP attribution affect Apple Search Ads optimization?

MMP attribution impacts Apple Search Ads optimization by validating SKAdNetwork mapping, ATT opt-in considerations, and event wiring. Checking MMP integration ensures accurate CPA and ROAS measurement by identifying attribution gaps across campaigns.

Can I compare country-level performance for my ASA campaigns?

Yes, you can compare country-level benchmarks for ASA campaigns by analyzing pasted metrics or exports. The audit assesses campaign architecture, placement mix, and bidding strategy across different countries to surface structural issues driving high CPI.

What is the best way to structure Apple Search Ads campaigns?

The best way to structure Apple Search Ads campaigns is separating brand, category, competitor, and Search Match into distinct campaigns. Validating campaign-level rules and placement types prevents budget pacing issues and improves TTR.

Why are my Apple Search Ads budgets pacing poorly?

Apple Search Ads budgets pace poorly due to misconfigured daily caps, incorrect placement mix, or low TTR. Analyzing placement performance across Search Results, Search Tab, Today Tab, and Product Pages identifies pacing issues and bidding strategy flaws.