google-ads
When the user wants to set up, optimize, or manage Google Ads campaigns.
Skill by kostja94
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/kostja94-google-ads
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About
Use cases: testing, marketing
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/google-ads
What's inside
- Skill name
google-ads- Description
- When the user wants to set up, optimize, or manage Google Ads campaigns. Also use when the user mentions "Google Ads," "Google Search Ads," "PPC," "SEM," "PMF testing with ads," "test product-market fit," "Responsive Search Ads," "RSA," "Performance Max," "Quality Score," "keyword bidding," or "Google Display/YouTube ads." For paid mix, use paid-ads-strategy.
- License
- MIT
- Metadata
- version: 1.4.1
- Instructions
- 127 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Paid Ads: Google Ads
Guides Google Ads setup, campaign structure, keyword targeting, and optimization. Google Ads excels at high-intent search traffic; use when people actively search for your solution.
**When invoking**: On **first use**, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On **subsequent use** or when the user asks to skip, go directly to the main output.
## Two Modes: PMF Testing vs Conversion-Driven
| Mode | When | Budget | Landing page | Metrics |
|------|------|--------|--------------|---------|
| **PMF testing** | Pre-PMF; validate idea before building | $47–500; start small | Simple LP: headline, benefits, problem solved, CTA ("Join Waitlist," "Get Early Access") | CTR, sign-up rate, bounce rate; low CTR/high bounce = messaging/positioning issue |
| **Conversion-driven** | PMF validated; commercialization | Scale; ROAS target | Full funnel; ad-to-page alignment | ROAS, CAC, conversion rate |
**PMF testing**: No full product needed. Build landing page with Unbounce, Carrd, or Webflow. Run ads to relevant search terms; measure clicks, engagement, signups. Test messaging (e.g., "Fastest App for Freelancers" vs "Simplest Time Tracker for Teams"), pricing (different price points in ads/LP), and audiences (keyword targeting, in-market). Allow 4–6 weeks for PMax learning phase. Use as learning tool, not just marketing channel.
**Reference**: [Marketing Cactus – Using Google Ads to Test Product-Market Fit](https://mktcactus.com/en/using-google-ads-to-test-product-market-fit-before-launching/)
## Campaign Structure
```
Account
├── Campaign: Brand (Search)
├── Campaign: Non-Brand (Search)
├── Campaign: Competitor (Search) — optional; bid on competitor brand + "alternative"/"vs"
├── Campaign: Retargeting (Display)
└── Campaign: Performance Max
```
### Competitor Brand Keywords
**When**: Bid on "[Competitor] alternative," "[Competitor] vs [You]" to intercept high-intent traffic. Google allows competitor terms as keywords; you cannot use competitor names in ad copy without permission.
**Landing page**: Use a **dedicated landing page** (comparison/alternatives page), not a blog article. Users searching competitor brands expect direct alternatives—a blog increases bounce; a comparison page matches intent and converts better. See **alternatives-page-generator** for structure.
**Best practices**:
- Separate campaign; exact/phrase match; add your brand as negative
- H1 mirrors search intent (e.g., "[Competitor] vs [You]")
- Feature comparison table; one-line differentiator; strong CTA
- Expect lower Quality Score, higher CPC than non-brand; optimize LP relevance
**Naming**: `GOOG_[Objective]_[Audience]_[Offer]_[Date]` (e.g., `GOOG_Search_Brand_Demo_Ongoing`)
## Campaign Types
| Type | Best for |
|------|----------|
| **Search** | High-intent queries; keyword-targeted; landing page critical |
| **Display** | Awareness; retargeting; broader reach |
| **YouTube** | Video; awareness; consideration |
| **Performance Max** | Automated; cross-channel; feed + search + display |
## Performance Max (PMax) Optimization
**Learning period**: Run at least **6 weeks** for algorithm ramp-up. Works best as complement to Search, not replacement.
**Asset groups**: Organize by *audience intent* (e.g., high-intent searchers, cart abandoners, category researchers), not product category alone. Audience signals improve CPA and ROAS vs. no signals.
**Asset requirements** (per asset group):
- ≥5 images (include 1200×1200)
- ≥5 text assets (4 headlines, 5 descriptions)
- Video when possible
- Refresh creative regularly to maintain performance
**Signals**: Add remarketing lists and Customer Match to accelerate learning.
**Weekly health check**: Flag if brand terms >30% of conversions; unexpected geo conversions; any placement >15% of total spend; asset group performance below "Good."
## Keyword Strategy
- **Brand**: Protect brand terms; exclude from non-brand campaigns
- **Negative keywords**: Build weekly; avoid irrelevant queries. Add **support terms** (login, forum, pricing, help) from **keyword-research**—these are existing customers, not prospects.
- **Match types**: Broad (discovery) → Phrase → Exact (control)
**Keyword sources**: Use **keyword-research** for keyword list, clusters, and intent. Map each cluster to a dedicated landing page; relevance improves Quality Score and lowers CPC.
## Quality Score Levers
| Factor | Action |
|--------|--------|
| Expected CTR | Improve ad relevance; test headlines |
| Ad relevance | Align ad copy to keyword intent |
| Landing page | Ad-to-page alignment; fast load; mobile-friendly |
**Target**: Quality Score ≥6; higher = lower CPC, better ad rank. **Benchmark**: Improving Quality Score from 5 to 7 can reduce CPC by 30–50%.
## Bidding Strategy
| Conversions/month | Strategy |
|-------------------|----------|
| <30 | Manual CPC (smart bidding needs volume to optimize) |
| 30–50 | Target CPA; minimum for effective smart bidding |
| 50–100 | Target CPA |
| 100+ | Target ROAS |
**Smart bidding**: AI-powered bidding (Target CPA, Target ROAS) typically delivers better ROI than manual when conversion volume is sufficient; requires ≥30 conversions in 30 days to work effectively.
## Tracking
- **Enhanced Conversions**: Server-side signals for better attribution
- **Offline conversion imports**: B2B; CRM → Google Ads
- **UTM**: Consistent parameters for GA4 cross-check
## Paid–Organic Cannibalization
When you rank organically (position 4+) for a keyword and also run PPC, paid ads can absorb clicks that would go to organic. **Audit**: Cross-reference GSC organic rankings with Search Terms report. If organic ranks well, test pausing PPC on those terms to free budget for higher-impact keywords.
**Reference**: [Backlinko – SEO and PPC: 8 Smart Ways to Align](https://backlinko.com/seo-and-ppc)
## Pre-Launch Checklist
- [ ] Conversion tracking tested with real conversion
- [ ] Landing page loads <3s; mobile-friendly
- [ ] UTM parameters working
- [ ] Negative keyword list built (include support terms from keyword-research)
- [ ] Budget set; targeting matches audience
## Related Skills
- **pmf-strategy**: PMF validation framework; when to use PMF testing vs conversion-drivenFrom kostja94/marketing-skills, MIT.
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Signals
- Stars
- 1,061
- Forks
- 150
- Open issues
- 3
- Last commit (this folder)
- Mar 27, 2026 (7 months ago)
- Last release
- Mar 11, 2026 (7 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 1.4.1
- License
- MIT
- Repository
- github.com/kostja94/marketing-skills
- Website
- alignify.co/skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
google-ads skill. Agent Mart. https://agentmart.dev/skills/kostja94-google-ads (last updated 2026-10-24)