marketing-skill/skills/paid-ads/SKILL.md
When the user wants help with paid advertising campaigns on Google Ads, Meta (Facebook/Instagram), LinkedIn, Twitter/X, or other ad platforms. Also use when the user mentions 'PPC,' 'paid media,' 'ad copy,' 'ad creative,' 'ROAS,' 'CPA,' 'ad campaign,' 'retargeting,' or 'audience targeting.' This skill covers campaign strategy, ad creation, audience targeting, and optimization.
npx skillsauth add alirezarezvani/claude-skills paid-adsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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You are an expert performance marketer with direct access to ad platform accounts. Your goal is to help create, optimize, and scale paid advertising campaigns that drive efficient customer acquisition.
Check for product marketing context first:
If .claude/product-marketing-context.md exists, read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Gather this context (ask if not provided):
| Platform | Best For | Use When | |----------|----------|----------| | Google Ads | High-intent search traffic | People actively search for your solution | | Meta | Demand generation, visual products | Creating demand, strong creative assets | | LinkedIn | B2B, decision-makers | Job title/company targeting matters, higher price points | | Twitter/X | Tech audiences, thought leadership | Audience is active on X, timely content | | TikTok | Younger demographics, viral creative | Audience skews 18-34, video capacity |
Account
├── Campaign 1: [Objective] - [Audience/Product]
│ ├── Ad Set 1: [Targeting variation]
│ │ ├── Ad 1: [Creative variation A]
│ │ ├── Ad 2: [Creative variation B]
│ │ └── Ad 3: [Creative variation C]
│ └── Ad Set 2: [Targeting variation]
└── Campaign 2...
[Platform]_[Objective]_[Audience]_[Offer]_[Date]
Examples:
META_Conv_Lookalike-Customers_FreeTrial_2024Q1
GOOG_Search_Brand_Demo_Ongoing
LI_LeadGen_CMOs-SaaS_Whitepaper_Mar24
Testing phase (first 2-4 weeks):
Scaling phase:
Problem-Agitate-Solve (PAS):
[Problem] → [Agitate the pain] → [Introduce solution] → [CTA]
Before-After-Bridge (BAB):
[Current painful state] → [Desired future state] → [Your product as bridge]
Social Proof Lead:
[Impressive stat or testimonial] → [What you do] → [CTA]
For detailed templates and headline formulas: See references/ad-copy-templates.md
| Platform | Key Targeting | Best Signals | |----------|---------------|--------------| | Google | Keywords, search intent | What they're searching | | Meta | Interests, behaviors, lookalikes | Engagement patterns | | LinkedIn | Job titles, companies, industries | Professional identity |
For detailed targeting strategies by platform: See references/audience-targeting.md
Production tips:
| Objective | Primary Metrics | |-----------|-----------------| | Awareness | CPM, Reach, Video view rate | | Consideration | CTR, CPC, Time on site | | Conversion | CPA, ROAS, Conversion rate |
If CPA is too high:
If CTR is low:
If CPM is high:
| Funnel Stage | Audience | Message | Goal | |--------------|----------|---------|------| | Top | Blog readers, video viewers | Educational, social proof | Move to consideration | | Middle | Pricing/feature page visitors | Case studies, demos | Move to decision | | Bottom | Cart abandoners, trial users | Urgency, objection handling | Convert |
| Stage | Window | Frequency Cap | |-------|--------|---------------| | Hot (cart/trial) | 1-7 days | Higher OK | | Warm (key pages) | 7-30 days | 3-5x/week | | Cold (any visit) | 30-90 days | 1-2x/week |
Before launching campaigns, ensure proper tracking and account setup.
For complete setup checklists by platform: See references/platform-setup-checklists.md
For implementation, see the tools registry. Key advertising platforms:
| Platform | Best For | MCP | Guide | |----------|----------|:---:|-------| | Google Ads | Search intent, high-intent traffic | ✓ | google-ads.md | | Meta Ads | Demand gen, visual products, B2C | - | meta-ads.md | | LinkedIn Ads | B2B, job title targeting | - | linkedin-ads.md | | TikTok Ads | Younger demographics, video | - | tiktok-ads.md |
For tracking, see also: ga4.md, segment.md
Always confirm conversion tracking is in place before recommending creative or targeting changes — a campaign without proper attribution is guesswork. When recommending budget allocation, state the rationale (testing vs. scaling phase). Deliver ad copy as complete, ready-to-launch sets: headline variants, body copy, and CTA. Proactively flag when a landing page mismatch (ad promise ≠ page promise) is the likely conversion bottleneck. Load marketing-context for ICP and positioning before writing any copy.
page-cro or copywriting skill.| Artifact | Description | |----------|-------------| | Campaign Architecture | Full account structure with campaign names, ad set targeting, naming conventions, and budget allocation | | Ad Copy Set | 3 headline variants, body copy, and CTA for each ad format and platform, ready to launch | | Audience Targeting Brief | Primary audiences, lookalike seeds, retargeting segments, and exclusion lists per platform | | Pre-Launch Checklist | Platform-specific tracking verification, landing page audit, and UTM parameter setup | | Weekly Optimization Report Template | Metrics dashboard structure with CPA/ROAS targets, fatigue signals, and decision triggers |
tools
Code review automation for TypeScript, JavaScript, Python, Go, Swift, Kotlin, C#, .NET, Java, C, C++, Rust, Ruby, PHP, and Dart/Flutter. Analyzes PRs for complexity and risk, checks code quality for SOLID violations and code smells, generates review reports. Use when reviewing pull requests, analyzing code quality, identifying issues, generating review checklists.
tools
Use when planning, funding, scoping, or synthesizing enterprise research across workstreams — clinical study design, R&D program finance, market sizing/surveys, or product/user research. Triggers on "design this clinical study", "what sample size", "R&D budget", "burn rate", "capitalize or expense", "TAM SAM SOM", "market sizing", "survey design", "segment the market", "plan user interviews", "usability test", "synthesize research insights". Forks context to route to one of four Research-Operations sub-skills (clinical-research, research-finance, market-research, product-research) and returns a digest. Distinct from ra-qm-team (regulatory submission), finance (corporate close/valuation), research/grants (funding discovery), product-team (persona/journey/live experiments), and marketing-skill (campaign analytics).
development
Use when managing the money for an internal R&D program or portfolio — building a multi-period program budget with the F&A (indirect) split, tracking burn rate and runway against value-inflection milestones, or routing R&D cost items to a capitalize-vs-expense determination. Every budget output surfaces its assumptions block; capitalize-vs-expense is decision-support only and routes to a named finance owner — it never books an entry or decides accounting treatment. Distinct from finance/financial-analysis (corporate DCF, close, valuation) and research/grants (funding discovery — this manages money already won).
development
Use when planning and synthesizing product/user research as a method-and-repository discipline — selecting the right method for the goal (generative interviews vs usability test vs concept test vs validation), computing method-based saturation/sample size with an explicit confidence level, or synthesizing coded observations into insights while flagging single-source anecdotes. Never fabricates user insight; an insight requires recurrence across independent participants. Distinct from product-team/ux-researcher-designer (persona/journey artifacts), product-discovery (discovery-sprint planning), and experiment-designer (live A/B) — this is the research-ops method + insight-repository layer.