本文へ移動
cccskills
無料GitHub で公開

google-ads

Google Ads platform expertise. Audit campaigns, keywords, audiences, bidding, and conversion tracking. Use when the user asks about Google Ads, PPC, search advertising, Performance Max, Shopping ads, display campaigns, YouTube ads, or paid search optimization.

インストール方法を見る

含まれるファイル(7)

  • SKILL.md7.7 KB
  • .env.example1.2 KB
  • CHECKS.md23.3 KB
  • EXAMPLES.md23.9 KB
  • LICENSE1.0 KB
  • REFERENCE.md11.1 KB
  • requirements.txt135 B

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Google Ads

Expert-level guidance for Google Ads — auditing, building, and optimizing search, shopping, display, video, Performance Max, and demand gen campaigns.

Install

git clone https://github.com/thatrebeccarae/claude-marketing.git && cp -r claude-marketing/skills/google-ads ~/.claude/skills/

Core Capabilities

Campaign Auditing & Optimization

  • Full account audit covering structure, settings, bidding, keywords, ads, and tracking
  • Quality Score optimization (expected CTR, ad relevance, landing page experience)
  • Search term analysis and negative keyword management
  • Budget allocation and pacing optimization
  • Wasted spend identification and elimination

Campaign Types

  • Search — Text ads on Google Search and Search Partners
  • Shopping — Product Listing Ads from Google Merchant Center
  • Performance Max — AI-driven cross-channel (Search, Shopping, Display, YouTube, Discover, Gmail, Maps)
  • Display — Banner/responsive ads across Google Display Network (3M+ sites)
  • Video — YouTube ads (in-stream, bumper, discovery, shorts)
  • Demand Gen — Visual-first ads on YouTube, Discover, Gmail
  • App — App install and engagement campaigns

Bidding Strategies

  • Manual CPC / Enhanced CPC — Direct control, good for learning phases
  • Target CPA — Optimize for cost per conversion
  • Target ROAS — Optimize for return on ad spend
  • Maximize Conversions / Maximize Conversion Value — Spend full budget optimally
  • Target Impression Share — Competitive visibility
  • Portfolio bid strategies for cross-campaign optimization

Audience Strategy

  • First-party data: Customer Match, website visitors, app users
  • Google audiences: In-market, affinity, detailed demographics, life events
  • Custom audiences (by keywords, URLs, apps)
  • Remarketing lists for Search Ads (RLSA)
  • Optimized targeting vs observation mode
  • Audience signals for Performance Max

Tracking & Measurement

  • Google Tag (gtag.js) / Google Tag Manager implementation
  • Conversion actions: website, phone calls, app, import, store visits
  • Enhanced conversions (first-party data matching)
  • Offline conversion import (GCLID / enhanced conversions for leads)
  • Google Ads Data Hub and GA4 integration
  • Attribution models: data-driven (default), last-click, cross-channel

Key Benchmarks

MetricGoodGreatWarning
Search CTR4-6%8%+<3%
Search CPCIndustry dependentBelow industry avgRising trend
Search Conv Rate3-5%7%+<2%
Quality Score7-89-10<6
Impression Share (Brand)90%+95%+<80%
Impression Share (Non-Brand)40-60%70%+<30%
PMax ROAS3-4x6x+<2x
Display CTR0.5-1%1.5%+<0.3%
YouTube View Rate15-25%30%+<10%

Account Structure Best Practices

Account
├── Brand Search (Exact + Phrase match)
│   ├── Pure Brand
│   └── Brand + Product/Service modifiers
├── Non-Brand Search (by theme/intent)
│   ├── High-Intent / Bottom-Funnel keywords
│   ├── Mid-Funnel / Consideration keywords
│   └── Category / Broad keywords
├── Competitor Search (optional)
│   └── Competitor brand terms
├── Shopping (Standard)
│   ├── Top Performers (high priority)
│   ├── Category groups (medium priority)
│   └── Catch-All (low priority)
├── Performance Max
│   ├── Asset Groups by product category or audience theme
│   └── Audience signals per group
├── Display (if separate from PMax)
│   ├── Remarketing
│   └── Prospecting (in-market / custom)
├── YouTube / Video
│   ├── Brand awareness (bumper, in-stream)
│   └── Action / conversions (in-feed, in-stream)
└── Demand Gen
    └── Visual-first prospecting

Workflow: Full Account Audit

When asked to audit a Google Ads account:

  1. Conversion Tracking — Verify Google Tag, conversion actions, enhanced conversions, attribution model
  2. Account Structure — Campaign organization, naming conventions, settings consistency
  3. Budget & Bidding — Allocation across campaigns, bid strategy alignment with goals, target efficiency
  4. Keyword Strategy — Match types, Quality Scores, search term relevance, negative keyword lists
  5. Ad Copy — RSA asset quality (headlines, descriptions), pin usage, ad strength, extensions
  6. Shopping / Merchant Center — Feed quality, disapprovals, competitive metrics, listing groups
  7. Performance Max — Asset group quality, audience signals, URL expansion settings, cannibalizing Search
  8. Audiences — First-party lists, remarketing, Customer Match, observation vs targeting
  9. Landing Pages — Load speed, message match, conversion rate by landing page
  10. Competitive Landscape — Auction insights, impression share losses (budget vs rank)
  11. Recommendations — Prioritized by expected revenue impact with effort estimate

Performance Max Guidance

PMax-specific audit checklist:

  • Asset group organization (themes, not catch-all)
  • All asset types provided (text, image, video, logo)
  • Audience signals configured (not left empty)
  • URL expansion settings reviewed (exclude irrelevant pages)
  • Search themes added for intent signals
  • Brand exclusions applied
  • Not cannibalizing high-performing standard Shopping/Search campaigns
  • Conversion goals aligned (avoid mixing lead gen and ecommerce)

How to Use This Skill

Ask me questions like:

  • "Audit my Google Ads account and find wasted spend"
  • "My Quality Scores are low — help me diagnose and fix"
  • "Design a Performance Max campaign structure for my ecommerce store"
  • "Should I use Target CPA or Target ROAS?"
  • "Help me build a negative keyword strategy"
  • "My CPA is increasing — what should I investigate?"
  • "Plan a YouTube advertising strategy for brand awareness"
  • "Review my Google Merchant Center feed for issues"

For detailed Google Ads API reference, script templates, and advanced configurations, see REFERENCE.md.

Hard Rules

These constraints must never be violated in recommendations:

  1. Never recommend Broad Match without Smart Bidding. Broad Match + Manual CPC = uncontrolled spend.
  2. 3x Kill Rule: Flag any campaign/ad group with CPA >3x target for immediate pause or restructuring.
  3. Enhanced Conversions must be recommended if not already active. Foundation for data quality.
  4. Consent Mode v2 required for any account serving EU/EEA traffic.
  5. Negative keyword lists required — minimum 3 themed lists (Competitor, Jobs, Free, Irrelevant).
  6. Never recommend edits during active learning phase — wait for learning to complete or reset intentionally.
  7. Brand and non-brand must be separated into distinct campaigns with independent budgets and bidding.
  8. PMax must have brand exclusions when a brand Search campaign exists.

Scored Audit

When performing an account audit, load skills/shared/scoring-system.md for the weighted scoring algorithm and CHECKS.md for the 74-check Google Ads audit checklist. Produce a health score (0-100, grade A-F) with Quick Wins and a prioritized action plan.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

A/B and multivariate testing methodology. Design experiments, calculate sample sizes, determine statistical significance, avoid common pitfalls, and interpret results. Platform-agnostic framework applicable to landing pages, emails, ads, pricing, and product features. Use when the user asks about A/B testing, split testing, experiment design, statistical significance, or conversion experiments.

日本語の概要は準備中です。原文の説明を表示しています。

thatrebeccarae/claude-marketing1622026年5月15日 更新

Google and Meta paid media account structure evaluation. Audits campaign/ad set architecture against conversion volume minimums, budget thresholds, and targeting overlap. Identifies over-segmentation, under-segmentation, budget fragmentation, and structural anti-patterns blocking algorithmic learning. Provides consolidation roadmaps with migration plans. Use when inheriting accounts, quarterly health checks, or before scaling budgets.

日本語の概要は準備中です。原文の説明を表示しています。

thatrebeccarae/claude-marketing1622026年5月15日 更新

Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) specialist. Optimize content and websites to appear in AI-generated answers from ChatGPT, Perplexity, Claude, Google AI Overviews, and other LLM-powered search experiences. Use when the user asks about AI search optimization, AEO, GEO, AI Overviews, appearing in AI answers, LLM citations, or optimizing for generative search.

日本語の概要は準備中です。原文の説明を表示しています。

thatrebeccarae/claude-marketing1622026年5月15日 更新

brand-dna

無料

Extract brand identity from a website URL — voice, colors, typography, imagery, values, and target audience — into a structured brand-profile.json. The profile feeds downstream skills (seo-content-writer, email-composer, frontend-design, pro-deck-builder, cross-platform-audit) for brand-consistent output. Use when the user says brand DNA, brand profile, extract brand, analyze brand, brand voice, brand identity, brand colors, or brand style guide.

日本語の概要は準備中です。原文の説明を表示しています。

thatrebeccarae/claude-marketing1622026年5月15日 更新

Develop brand voice, tone matrices, messaging frameworks, and brand book documentation. Use when the user asks about brand voice, tone of voice, brand guidelines, messaging framework, or brand consistency.

日本語の概要は準備中です。原文の説明を表示しています。

thatrebeccarae/claude-marketing1622026年5月15日 更新

braze

無料

Braze customer engagement platform expertise. Audit campaigns, Canvases, segments, messaging channels, and data architecture. Use when the user asks about Braze, customer engagement, push notifications, in-app messaging, cross-channel orchestration, or lifecycle marketing at scale.

日本語の概要は準備中です。原文の説明を表示しています。

thatrebeccarae/claude-marketing1622026年5月15日 更新

thatrebeccarae のスキルをすべて見る

このスキルの問題を報告する