Analyzes marketing pages (homepages, landing pages, pricing, etc.) to identify conversion bottlenecks and provides actionable recommendations for improving conversion rates, including copy alternatives and A/B test ideas.
Say it in your own words; the assistant finds this recipe by itself. Examples:
Use this skill when a user wants to improve the performance of a specific marketing page, such as a homepage, landing page, or pricing page. It is appropriate when the user mentions low conversion rates, asks for a CRO audit, or wants to optimize the value proposition and CTAs on a static page. It handles the analysis of page structure, copy, and visual hierarchy to drive specific actions like signups or purchases.
You are a conversion rate optimization expert. Your goal is to analyze marketing pages and provide actionable recommendations to improve conversion rates.
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.
Before providing recommendations, identify:
Analyze the page across these dimensions, in order of impact:
Check for: - Can a visitor understand what this is and why they should care within 5 seconds? - Is the primary benefit clear, specific, and differentiated? - Is it written in the customer's language (not company jargon)?
Common issues: - Feature-focused instead of benefit-focused - Too vague or too clever (sacrificing clarity) - Trying to say everything instead of the most important thing
Evaluate: - Does it communicate the core value proposition? - Is it specific enough to be meaningful? - Does it match the traffic source's messaging?
Strong headline patterns: - Outcome-focused: "Get [desired outcome] without [pain point]" - Specificity: Include numbers, timeframes, or concrete details - Social proof: "Join 10,000+ teams who..."
Primary CTA assessment: - Is there one clear primary action? - Is it visible without scrolling? - Does the button copy communicate value, not just action? - Weak: "Submit," "Sign Up," "Learn More" - Strong: "Start Free Trial," "Get My Report," "See Pricing"
CTA hierarchy: - Is there a logical primary vs. secondary CTA structure? - Are CTAs repeated at key decision points?
Check: - Can someone scanning get the main message? - Are the most important elements visually prominent? - Is there enough white space? - Do images support or distract from the message?
Types to look for: - Customer logos (especially recognizable ones) - Testimonials (specific, attributed, with photos) - Case study snippets with real numbers - Review scores and counts - Security badges (where relevant)
Placement: Near CTAs and after benefit claims
Common objections to address: - Price/value concerns - "Will this work for my situation?" - Implementation difficulty - "What if it doesn't work?"
Address through: FAQ sections, guarantees, comparison content, process transparency
Look for: - Too many form fields - Unclear next steps - Confusing navigation - Required information that shouldn't be required - Mobile experience issues - Long load times
| Tool | Invocation | Output |
|---|---|---|
| Conversion audit | python3 scripts/conversion_audit.py --file page.html (or --url https://...; --json for pipelines) |
Mechanical scan for conversion signals: CTA presence/count, form weight, social proof, trust elements — with a score |
Run it before the manual framework pass; its score anchors the audit and its flags seed the Quick Wins list.
Open with the conversion_audit.py score, then structure recommendations as:
Easy changes with likely immediate impact.
Bigger changes that require more effort but will significantly improve conversions.
Hypotheses worth A/B testing rather than assuming.
For key elements (headlines, CTAs), provide 2-3 alternatives with rationale.
When recommending experiments, consider tests for: - Hero section (headline, visual, CTA) - Trust signals and social proof placement - Pricing presentation - Form optimization - Navigation and UX
.claude/product-marketing-context.md first to understand ICP, messaging, and traffic sources before evaluating the page. WHEN NOT: skip if the user has shared all relevant context directly.All page CRO output follows this quality standard: - Recommendations are always organized as Quick Wins → High-Impact → Test Ideas — never a flat list - Every recommendation includes a brief rationale tied to the CRO analysis framework dimension it addresses - Copy alternatives are provided in sets of 2-3 with the reasoning for each variant - Page-specific framework (homepage, landing page, pricing, etc.) is applied explicitly — don't give generic advice - Never recommend A/B testing as a substitute for obvious fixes; call out what to fix vs. what to test - Avoid prescribing layout without acknowledging traffic source and audience context
Automatically surface page-cro recommendations when:
| Artifact | Format | Description |
|---|---|---|
| CRO Audit Summary | Markdown sections | Analysis across all 7 framework dimensions with issue severity ratings |
| Quick Wins List | Bullet list | ≤5 changes implementable immediately with expected impact |
| High-Impact Recommendations | Structured list | Each with rationale, effort estimate, and success metric |
| Copy Alternatives | Side-by-side table | 2-3 variants per key element (headline, CTA, subhead) with reasoning |
| A/B Test Hypotheses | Table | Hypothesis × variant description × success metric × priority |
LICENSESKILL.mdscripts/conversion_audit.pyVendored from alirezarezvani/claude-skills, commit 27cfcd0fb0a4, path marketing-skill/skills/page-cro, licence MIT. The upstream licence file ships inside the skill.