ads-apple

Analyze Apple Search Ads campaigns for health and optimization opportunities.

Updated Mar 5, 2026
One-click install
npx skills add https://github.com/tahatms12/chargeback --skill ads-apple-tahatms12
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ads-apple
Source: https://github.com/tahatms12/chargeback/tree/main/.agents/skills/ads-apple
Command: npx skills add https://github.com/tahatms12/chargeback --skill ads-apple-tahatms12

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyze Apple Search Ads (ASA) campaigns to identify structural gaps, bid inefficiencies, and attribution issues, delivering a comprehensive health score and actionable optimizations.

Core Features & Use Cases

  • Campaign structure health: evaluate Brand, Category, and Competitor campaigns across campaigns and ad groups to prevent cross-contamination of bids and budgets.
  • Bid health and performance: assess CPT, TTR, CVR, and bid differentiation by match type; flag low-quality keywords and misaligned bids.
  • Creative Sets and CPPs: review CPP availability and alignment with keyword intent; recommend variations and tests to improve TTR.
  • Attribution & MMP health: verify MMP integration, SKAdNetwork mappings, ATT impact, and post-install event tracking for ROAS optimization.
  • TAP Coverage and Budget Pacing: assess placement coverage (Search Results, Search Tab, Today, Product Pages) and daily spend pacing against caps and goals.
  • Output and action plans: generate a structured findings report with prioritized recommendations and next steps.

Quick Start

Paste your ASA data exports or metrics, and I will generate a health score, actionable findings, and an optimization plan.

Frequently Asked Questions about ads-apple

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

FAQPage Schema
How do I optimize Apple Search Ads campaigns to improve TTR and CVR?

Optimize Apple Search Ads campaigns by analyzing bid differentiation across match types, reviewing Creative Sets alignment with keyword intent, and flagging low-quality keywords to improve TTR and CVR. The analysis outputs actionable findings with PASS, WARN, or FAIL classifications.

How do I fix attribution gaps between Apple Search Ads and my MMP?

Fix Apple Search Ads and MMP attribution gaps by verifying MMP integration, checking SKAdNetwork mappings, assessing ATT impact, and validating post-install event tracking. This ensures accurate ROAS optimization and correct attribution of campaign performance.

What data do I need to analyze ASA campaign health and performance?

To analyze ASA campaign health, you need 30-day metrics exports, active placements, MMP details, target CPI, app category, target regions, and Custom Product Page configuration status. These inputs generate a comprehensive campaign health score.

Can I assess budget pacing and TAP coverage for my ASA campaigns?

Assess budget pacing and TAP coverage by evaluating daily spend against caps and goals across Search Results, Search Tab, Today, and Product Pages placements. This prevents budget exhaustion and identifies missing placement coverage opportunities.

Why are my Apple Search Ads bids suffering from cross-contamination?

Apple Search Ads bids suffer from cross-contamination when Brand, Category, and Competitor campaigns lack structural separation across campaigns and ad groups. Evaluating campaign structure health prevents budget overlap and bid inefficiencies.

What is the best way to audit ASA campaign structure and bid health?

The best way to audit ASA campaign structure and bid health is evaluating CPT and TTR metrics alongside bid differentiation by match type. This structural review prevents cross-contamination and flags misaligned bids within your account.