LinkedIn Ads platform expertise. Audit campaigns, optimize targeting (job title, company, seniority, industry), creative strategy, Lead Gen Forms, conversion tracking, and ABM campaigns. Use when the user asks about LinkedIn advertising, B2B paid social, LinkedIn campaign optimization, Lead Gen Forms, Matched Audiences, or professional audience targeting.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
B2B advertising on LinkedIn — campaigns, targeting, creative, Lead Gen Forms, and ABM.
git clone https://github.com/thatrebeccarae/claude-marketing.git && cp -r claude-marketing/skills/linkedin-ads ~/.claude/skills/
| Type | Objective | Best For |
|---|---|---|
| Sponsored Content | Brand awareness, engagement, conversions | Thought leadership, content promotion |
| Message Ads | Direct outreach at scale | Event invites, demo requests, high-value offers |
| Text Ads | Cost-efficient clicks | Always-on brand visibility |
| Dynamic Ads | Personalized (follower, spotlight, jobs) | Follower growth, personalized CTAs |
| Document Ads | Lead gen through gated content | Whitepapers, reports, guides |
| Video Ads | Brand awareness, engagement | Product demos, testimonials, thought leadership |
| Conversation Ads | Multi-CTA interactive messages | Complex offers, event + content combos |
| Lead Gen Forms | In-platform lead capture | Gated content, demo requests, newsletter signups |
| Dimension | Examples | Use Case |
|---|---|---|
| Job Title | VP Marketing, CMO, Head of Growth | Role-specific targeting |
| Job Function | Marketing, Sales, Engineering | Broad function targeting |
| Seniority | C-Suite, VP, Director, Manager, Entry | Decision-maker targeting |
| Company Name | Specific company lists | ABM campaigns |
| Company Size | 1-10, 11-50, 51-200, 201-500, 500+ | Segment by org size |
| Company Industry | SaaS, Healthcare, Finance, etc. | Vertical targeting |
| Skills | Digital Marketing, SEO, Data Analysis | Interest/expertise targeting |
| Groups | LinkedIn Group membership | Community targeting |
| Years of Experience | 1-2, 3-5, 6-10, 10+ | Career stage |
| Education | Degree, field of study, school | Academic targeting |
| Type | Source | Use Case |
|---|---|---|
| Contact Targeting | Email lists (300+ match) | CRM retargeting, ABM |
| Company Targeting | Company name lists | ABM account lists |
| Website Retargeting | Insight Tag pixel | Site visitor retargeting |
| Lookalike Audiences | Expand from any source | Scale proven audiences |
| Engagement Retargeting | Ad/page engagers | Warm audience nurturing |
| Event Retargeting | LinkedIn Event attendees | Post-event follow-up |
| Campaign Type | Minimum | Recommended | Maximum |
|---|---|---|---|
| Sponsored Content | 50,000 | 100,000-300,000 | 500,000+ |
| Message Ads | 15,000 | 30,000-100,000 | 200,000 |
| Lead Gen Forms | 50,000 | 100,000-300,000 | 500,000+ |
| ABM (Company List) | 300 companies | 500-1,000 companies | 5,000 |
| Metric | Good | Average | Poor |
|---|---|---|---|
| CTR (Sponsored Content) | >0.8% | 0.4-0.8% | <0.4% |
| CTR (Message Ads) | >3% | 1-3% | <1% |
| CPC (Sponsored Content) | <$5 | $5-10 | >$10 |
| CPM | <$30 | $30-60 | >$60 |
| Cost per Lead (Lead Gen) | <$50 | $50-150 | >$150 |
| Lead Gen Form completion | >15% | 10-15% | <10% |
| Video view rate | >25% | 15-25% | <15% |
| Social engagement rate | >0.5% | 0.3-0.5% | <0.3% |
[Objective]-[Audience]-[Creative Type]-[Date]まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
A/B and multivariate testing methodology. Design experiments, calculate sample sizes, determine statistical significance, avoid common pitfalls, and interpret results. Platform-agnostic framework applicable to landing pages, emails, ads, pricing, and product features. Use when the user asks about A/B testing, split testing, experiment design, statistical significance, or conversion experiments.
日本語の概要は準備中です。原文の説明を表示しています。
Google and Meta paid media account structure evaluation. Audits campaign/ad set architecture against conversion volume minimums, budget thresholds, and targeting overlap. Identifies over-segmentation, under-segmentation, budget fragmentation, and structural anti-patterns blocking algorithmic learning. Provides consolidation roadmaps with migration plans. Use when inheriting accounts, quarterly health checks, or before scaling budgets.
日本語の概要は準備中です。原文の説明を表示しています。
Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) specialist. Optimize content and websites to appear in AI-generated answers from ChatGPT, Perplexity, Claude, Google AI Overviews, and other LLM-powered search experiences. Use when the user asks about AI search optimization, AEO, GEO, AI Overviews, appearing in AI answers, LLM citations, or optimizing for generative search.
日本語の概要は準備中です。原文の説明を表示しています。
Extract brand identity from a website URL — voice, colors, typography, imagery, values, and target audience — into a structured brand-profile.json. The profile feeds downstream skills (seo-content-writer, email-composer, frontend-design, pro-deck-builder, cross-platform-audit) for brand-consistent output. Use when the user says brand DNA, brand profile, extract brand, analyze brand, brand voice, brand identity, brand colors, or brand style guide.
日本語の概要は準備中です。原文の説明を表示しています。
Develop brand voice, tone matrices, messaging frameworks, and brand book documentation. Use when the user asks about brand voice, tone of voice, brand guidelines, messaging framework, or brand consistency.
日本語の概要は準備中です。原文の説明を表示しています。
Braze customer engagement platform expertise. Audit campaigns, Canvases, segments, messaging channels, and data architecture. Use when the user asks about Braze, customer engagement, push notifications, in-app messaging, cross-channel orchestration, or lifecycle marketing at scale.
日本語の概要は準備中です。原文の説明を表示しています。