ads-google

name	ads-google
description	Google Ads deep analysis covering Search, Performance Max, Display, YouTube, and Demand Gen campaigns. Evaluates 74 checks across conversion tracking, wasted spend, account structure, keywords, ads, and settings. Use when user says Google Ads, Google PPC, search ads, PMax, Performance Max, or Google campaign.
user-invokable	false

Google Ads Deep Analysis

Process

1. Collect Google Ads account data (export, Change History, Search Terms Report)
2. Validate: confirm data covers ≥30 days and includes Search Terms Report before proceeding
3. Read ads/references/google-audit.md for full 74-check audit
4. Read ads/references/benchmarks.md for Google-specific benchmarks
5. Read ads/references/scoring-system.md for weighted scoring
6. Evaluate all applicable checks as PASS, WARNING, or FAIL
7. Validate: confirm all 74 checks evaluated before calculating score
8. Calculate Google Ads Health Score (0-100)
9. Generate findings report with action plan

What to Analyze

Conversion Tracking (25% weight)

• Google tag (gtag.js) installed and firing on all pages
• Enhanced Conversions active (hashed first-party data)
• Consent Mode v2 implemented (required for EU/EEA)
• Conversion actions mapped correctly (primary vs secondary)
• Offline conversion import configured (for lead gen)
• Server-side tagging via GTM (recommended for accuracy)
• Attribution model: data-driven preferred (last-click as fallback only)
• Conversion lag analysis (are conversions still trickling in?)

Wasted Spend (20% weight)

• Search Terms Report reviewed (last 30 days minimum)
• Negative keyword coverage adequate (shared lists + campaign-level)
• Display placement audit (exclude low-quality sites)
• Invalid click rate within norms (<10%)
• Broad Match only used with Smart Bidding (NEVER without it)
• Brand/non-brand campaigns separated
• Geographic targeting precise (no wasted international spend)

Negative Keyword Rules (critical: bad negatives kill campaigns):

• NEVER suggest Broad Match negatives unless explicitly justified; they block too broadly
• Default to Exact Match [keyword] for specific irrelevant queries
• Use Phrase Match "keyword" for irrelevant intent patterns
• Source negatives from actual Search Terms Report irrelevant queries, NOT guesses
• Group into themed lists: Informational (how-to, DIY, what is), Job-seeker (jobs, careers, salary), Competitor (only if intentionally excluded), Free-intent (free, crack, torrent)
• Recommend Shared Negative Lists at the account level, not just campaign-level
• Review existing negatives for over-blocking (are any negatives accidentally blocking converting queries?)

Account Structure (15% weight)

• Campaign-level organization follows business logic
• Ad groups themed tightly (15-20 keywords max per group)
• RSA ad groups have ≥3 active ads
• PMax campaigns structured correctly (asset groups, signals)
• SKAGs evaluated (migrate to themed groups if present)
• Campaign labels/naming conventions consistent

Keywords (15% weight)

• Match type strategy appropriate (Exact → Phrase → Broad progression)
• Quality Score distribution (aim ≥7 average)
• Low QS keywords flagged (<5 = FAIL, 5-6 = WARNING)
• Keyword cannibalization check (same keywords in multiple campaigns)
• Impression share tracked for top keywords
• Keyword bid adjustments set for devices/locations/audiences

Ads (15% weight)

• RSA: ≥8 unique headlines, ≥3 descriptions per ad group
• RSA: ad strength "Good" or "Excellent" (not "Poor" or "Average")
• Pin usage minimal and strategic (over-pinning reduces RSA flexibility)
• Ad extensions: sitelinks (≥4), callouts (≥4), structured snippets, image
• Dynamic keyword insertion used appropriately
• Ad copy includes CTA, value proposition, differentiators

Settings (10% weight)

• Bid strategy appropriate for campaign maturity and goals
• Budget pacing: no campaigns limited by budget (unless intentional)
• Ad schedule aligned with business hours/conversion patterns
• Device bid adjustments set based on performance data
• Location targeting: "Presence" not "Presence or Interest"
• Network settings: Search Partners reviewed, Display opt-out for Search

GAQL & Data Accuracy

Before analyzing data, read ads/references/gaql-notes.md for known GAQL field incompatibilities, deduplication patterns, and filter scope best practices. Key rules:

• Deduplicate keywords by (ad_group_id + keyword_text + match_type) before any analysis
• Only analyze ENABLED campaigns and ad groups (exclude paused/removed)
• Filter to keywords with impressions > 0 for theme coherence checks (G03)
• Apply legacy BMM heuristic: BROAD + Manual CPC = legacy BMM, not intentional broad (G17)
• Only flag wasted spend on terms with >$10 spend AND 0 conversions (G16)
• Count shared negative keyword lists alongside campaign-level negatives (G14/G15)

Google Ads MCP Integration (Optional)

For automated data collection, connect the Google Ads MCP server:

• Tools available: search (GAQL queries), list_accessible_customers
• Setup: Configure in .mcp.json or Claude Code MCP settings
• Customer ID: Extract from CLAUDE.md under Accounts > Google Ads, or ask the user
• Fallback: If MCP is not configured, fall back to manual data export (the default workflow)

When MCP is available, use it to pull Search Terms Reports, keyword data, conversion actions, and campaign structure automatically instead of requiring manual exports.

PMax Deep Dive

If Performance Max campaigns exist, additionally evaluate:

• Asset group diversity (text, images, video, feeds)
• Audience signals configured (custom segments, lists, demographics)
• URL expansion settings reviewed (opt-out of irrelevant pages)
• Brand exclusions applied (prevent cannibalizing brand search)
• Search themes utilized (2024 feature)
• Final URL expansion: enabled or disabled with justification
• Insights tab reviewed (search categories, audience segments)

AI Max for Search (2026)

If AI Max for Search is available/active:

• Broad Match + AI Max integration evaluated
• Auto-generated headline performance monitored
• Search term categories reviewed for relevance
• Budget impact assessed (AI Max can shift spend)

Key Thresholds

Metric	Pass	Warning	Fail
Quality Score (avg)	≥7	5-6	<5
CTR (Search)	≥6.66%	3-6.66%	<3%
CVR (Search)	≥7.52%	3-7.52%	<3%
CPC (Search)	≤$5.26	$5.26-8.00	>$8.00
Wasted Spend	<10%	10-20%	>20%
Ad Strength	Good+	Average	Poor
Invalid Clicks	<5%	5-10%	>10%

Output

Google Ads Health Score

Google Ads Health Score: XX/100 (Grade: X)

Conversion Tracking: XX/100  ████████░░  (25%)
Wasted Spend:        XX/100  ██████████  (20%)
Account Structure:   XX/100  ███████░░░  (15%)
Keywords:            XX/100  █████░░░░░  (15%)
Ads:                 XX/100  ████████░░  (15%)
Settings:            XX/100  ██████████  (10%)

Deliverables

• GOOGLE-ADS-REPORT.md: Full 74-check findings with pass/warning/fail
• Wasted spend estimate (monthly $ value)
• Quick Wins sorted by impact
• PMax-specific recommendations (if applicable)
• Keyword health matrix with QS, CTR, CVR per keyword group