
conversion-optimization
When the user wants to improve conversion rates, run A/B tests, optimize funnels, or reduce friction. Also use when the user mentions "CRO," "conversion rate optimization," "A/B test," "split test," "funnel optimization," "checkout optimization," "form optimization," or "conversion funnel." For pricing psychology, use pricing-strategy.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/kostja94/marketing-skills --skill conversion-optimization- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads conversion-optimization automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Strategies: Conversion Optimization
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.
Initial Assessment
Project context: Read root contextus.md when present and load only the modules relevant to this task. Without Contextus, use available project material or user-provided facts and ask for missing information; do not create a parallel context system.
Identify:
- Funnel stage: Awareness, consideration, decision, post-purchase
- Conversion goal: Signup, purchase, download, demo request
- Traffic: Volume; mobile vs desktop split
- Current conversion rate: Baseline for improvement
CRO Process
| 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 |
PIE Prioritization Framework
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.
A/B Testing Best Practices
| 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 |
Key Testing Areas
| 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.
Commercialization Infrastructure
| 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.
Foundational Requirements
- Analytics: Map funnels; identify drop-off points (analytics-tracking, traffic-analysis)
- Qualitative: Heatmaps, session recordings, user tests—understand why drop-off occurs
- Technical: Dedicated resources for 2–4 tests/month; maintain momentum
Output Format
- Funnel map (stages, conversion rates, drop-off)
- Hypothesis (if X, then Y because Z)
- Test plan (variant, metric, sample size, duration)
- Implementation checklist
Related Skills
- landing-page-generator: Landing page structure and copy
- cta-generator: CTA design and placement
- analytics-tracking: GA4, events, conversion tracking
- traffic-analysis: Attribution, funnel analysis
- copywriting: Headline, CTA copy for tests
FAQ
What does the conversion-optimization skill do?
When the user wants to improve conversion rates, run A/B tests, optimize funnels, or reduce friction. Also use when the user mentions "CRO," "conversion rate optimization," "A/B test," "split test," "funnel optimization," "checkout optimization," "form optimization," or "conversion funnel." For pricing psychology, use pricing-strategy.
How do I install conversion-optimization?
Run npx skills add https://github.com/kostja94/marketing-skills --skill conversion-optimization in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/conversion-optimization/ (personal) or .claude/skills/conversion-optimization/ (project).
Which AI agents can use conversion-optimization?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is conversion-optimization safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains conversion-optimization?
It is published by kostja94 in kostja94/marketing-skills. It has 1,404 recorded installs.
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