Landing page audit and optimization for conversion. Covers above-the-fold design, value propositions, CTAs, social proof placement, form design, page speed, and mobile optimization. Use when the user asks about landing page optimization, conversion rate improvement, page audits, or CTA optimization.
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Audit and optimize landing pages for maximum conversion.
git clone https://github.com/thatrebeccarae/claude-marketing.git && cp -r claude-marketing/skills/landing-page-optimizer ~/.claude/skills/
The visitor must answer 3 questions instantly:
| Pattern | Best For | Structure |
|---|---|---|
| Left copy / right visual | SaaS, B2B | Headline + CTA left, product screenshot right |
| Centered hero | Simple offers | Centered headline, subheadline, CTA |
| Video hero | Complex products | Autoplay background or embedded explainer |
| Social proof hero | High-trust needed | Headline with customer logos or metrics |
| Split test | Dual audiences | Two distinct paths with separate CTAs |
H1: Primary benefit (what outcome they get)
Subheadline: How you deliver it (mechanism or differentiator)
Supporting points: 3 proof points or features (bullets)
CTA: Specific action + anxiety reducer
Text: Action verb + specific outcome ("Start Free Trial" not "Submit") Design: High contrast to background, generous padding, whitespace around it Placement: Above fold, after each content section, sticky on scroll Microcopy: Reduce anxiety below CTA ("No credit card required", "Cancel anytime")
| Type | Placement | Impact |
|---|---|---|
| Customer logos | Below hero | Trust (B2B) |
| Metric ("50,000+ users") | Near headline | Scale proof |
| Star rating | Near CTA | Purchase confidence |
| Testimonial quote | Mid-page | Emotional proof |
| Case study result | Deep in page | Detailed proof |
| Trust badges | Near form/checkout | Security |
| Page Type | Good | Average | Poor |
|---|---|---|---|
| SaaS trial signup | >5% | 2-5% | <2% |
| E-commerce product | >3% | 1.5-3% | <1.5% |
| Lead gen (B2B) | >10% | 5-10% | <5% |
| Newsletter signup | >5% | 2-5% | <2% |
| Webinar registration | >30% | 15-30% | <15% |
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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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.