tapanshah/ads-google

Google Ads Deep Analysis

Process

1. Collect Google Ads account data (export, Change History, Search Terms Report)
2. Read ads/references/google-audit.md for full 74-check audit
3. Read ads/references/benchmarks.md for Google-specific benchmarks
4. Read ads/references/scoring-system.md for weighted scoring
5. Evaluate all applicable checks as PASS, WARNING, or FAIL
6. Calculate Google Ads Health Score (0-100)
7. 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

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