google-search-console
Compatibility pointer for Search Console performance and indexing analysis; maintained in Open Analytics.
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,"
Claude Code
$ npx -y skills add kostja94/marketing-skills --skill google-ads --agent claude-code
Codex
$ npx skills add kostja94/marketing-skills --skill google-ads -a codex -y
Cursor
$ npx skills add kostja94/marketing-skills --skill google-ads -a cursor -y
Gemini CLI
$ npx skills add kostja94/marketing-skills --skill google-ads -a gemini-cli -y
GitHub Copilot
$ npx skills add kostja94/marketing-skills --skill google-ads -a github-copilot -y
OpenCode
$ npx skills add kostja94/marketing-skills --skill google-ads -a opencode -y
Windsurf
$ npx skills add kostja94/marketing-skills --skill google-ads -a windsurf -y
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. metadata: version: 1.4.1
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.
| 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/)
Account ├── Campaign: Brand (Search) ├── Campaign: Non-Brand (Search) ├── Campaign: Competitor (Search) — optional; bid on competitor brand + "alternative"/"vs" ├── Campaign: Retargeting (Display) └── Campaign: Performance Max
**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**:
**Naming**: `GOOG_[Objective]_[Audience]_[Offer]_[Date]` (e.g., `GOOG_Search_Brand_Demo_Ongoing`)
| 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 |
**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):
**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 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.
| 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%.
| 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.
When you rank organically (position 4+) for a keywo
Marketing Skills is an open-source library of reusable marketing and SEO workflows for AI agents. Install the skills your task needs, provide real product context, and get structured work grounded in explicit methods, checks, and source rules.
Compatibility pointer for Search Console performance and indexing analysis; maintained in Open Analytics.
Compatibility pointer for recurring SEO monitoring; maintained in Open Analytics.
Compatibility pointer for AI assistant referrals and generative search visibility; maintained in Open Analytics.
Compatibility pointer for source, UTM and direct-traffic analysis; maintained in Open Analytics.
Compatibility pointer for GA4 event, key-event and User-ID tracking; maintained in Open Analytics.
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