From kostja94-marketing-skills-5
Guides conversion rate optimization (CRO) via A/B testing, funnel mapping, PIE prioritization, and best practices for high-traffic web pages like homepages and landing pages.
npx claudepluginhub joshuarweaver/cascade-data-analytics --plugin kostja94-marketing-skills-5This skill uses the workspace's default tool permissions.
Guides conversion rate optimization (CRO): increasing the percentage of visitors who complete desired actions. Higher conversion rates mean increased revenue, reduced CAC, and better ROI. Use this skill when optimizing funnels, running experiments, or reducing friction on high-traffic pages.
Conducts multi-round deep research on GitHub repos via API and web searches, generating markdown reports with executive summaries, timelines, metrics, and Mermaid diagrams.
Dynamically discovers and combines enabled skills into cohesive, unexpected delightful experiences like interactive HTML or themed artifacts. Activates on 'surprise me', inspiration, or boredom cues.
Generates images from structured JSON prompts via Python script execution. Supports reference images and aspect ratios for characters, scenes, products, visuals.
Guides conversion rate optimization (CRO): increasing the percentage of visitors who complete desired actions. Higher conversion rates mean increased revenue, reduced CAC, and better ROI. Use this skill when optimizing funnels, running experiments, or reducing friction on high-traffic pages.
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.
Check for project context first: If .claude/project-context.md or .cursor/project-context.md exists, read Sections 4 (Audience), 5 (Website), 6 (Keywords).
Identify:
| Step | Action |
|---|---|
| 1. Research | Map funnel; identify high-traffic, low-conversion pages |
| 2. Hypothesize | Form testable hypothesis (if X, then Y because Z) |
| 3. Prioritize | Score by Potential, Importance, Ease (PIE) |
| 4. Test | A/B or multivariate; adequate sample size |
| 5. Analyze | Statistical significance; implement winner |
Score each test idea 1–10:
| Factor | Question |
|---|---|
| Potential | How much improvement is possible? |
| Importance | How much traffic does this page get? |
| Ease | How easy to implement? |
Rank backlog by total score; run highest-impact tests first.
| Practice | Guideline |
|---|---|
| Sample size | Calculate minimum before launch; 95% significance without adequate sample = false positives |
| Duration | Run full week cycles; account for day-of-week effects |
| One variable | Test one element per experiment (or use MVT for multiple) |
| Mobile separate | Mobile converts ~50% of desktop; test mobile independently—thumb reach, form complexity differ |
| Low traffic | Use Bayesian testing for faster, actionable results |
| Page Type | Test Ideas |
|---|---|
| Homepage | Search bar prominence; personalized content; hero CTA; social proof placement |
| Landing page | Headline; form length; CTA copy; above-fold layout |
| Product/Category | Quick view; descriptions; add-to-cart placement |
| Checkout | Form fields; progress indicator; trust badges; guest checkout |
| Pricing | Plan order; anchoring; CTA per tier |
Personalization: Personalized experiences generate ~41% more impact than generic ones.
| Module | Purpose |
|---|---|
| Data & BI | Data warehouse; user behavior events; agile surveys |
| A/B testing | Experiment platform; statistical significance; backend-controlled variants |
| User education | Help docs (multi-language); update notifications; EDM |
| Attribution | Ad pixels; attribution model; impression-to-click-to-sale tracking |
Avoid: Intrusive interstitials; popups that block content. Prefer non-intrusive ad formats.