conversion-optimization
kostja94/marketing-skills
Run A/B tests, optimize funnels, and reduce friction to increase conversion rates.
What is conversion-optimization?
Conversion Optimization (CRO) guides systematic testing and funnel improvement to increase the percentage of visitors completing desired actions. Use this skill when optimizing checkout, landing pages, forms, or running A/B tests to boost revenue and reduce customer acquisition cost.
- Map funnels and identify high-traffic, low-conversion pages
- Prioritize test ideas using the PIE framework (Potential, Importance, Ease)
- Design and run A/B tests with proper sample sizing and statistical significance
- Test key areas: homepage, landing pages, product pages, checkout, and pricing
- Implement personalization strategies for ~41% higher impact than generic experiences
- Analyze results and scale winning variants across traffic
How to install conversion-optimization
npx skills add https://github.com/kostja94/marketing-skills --skill conversion-optimization- Analytics setup to map funnels and track conversion rates
- A/B testing platform or backend capability for variant control
- Qualitative research tools (heatmaps, session recordings) to understand drop-off reasons
How to use conversion-optimization
- 1.Identify your funnel stage (awareness, consideration, decision, post-purchase) and conversion goal
- 2.Map current funnel with baseline conversion rates and drop-off points
- 3.Form a testable hypothesis: 'If X, then Y because Z'
- 4.Score test ideas 1–10 using PIE (Potential, Importance, Ease) and prioritize by total score
- 5.Design A/B test: choose one variable, calculate minimum sample size, plan duration (full week cycles)
- 6.Launch test with 95% significance threshold; run mobile and desktop separately if applicable
- 7.Analyze results for statistical significance and implement winning variant
Use cases
- Run A/B tests on checkout flow to reduce cart abandonment and increase purchase conversion
- Optimize landing page headline, form length, and CTA placement to improve signup rates
- Test mobile-specific design changes separately from desktop since mobile converts ~50% of desktop rates
- Prioritize high-impact test ideas across your funnel using PIE scoring
- Implement trust badges, progress indicators, and guest checkout options to reduce friction
- Product managers optimizing conversion funnels
- E-commerce teams improving checkout and product page performance
- Growth marketers running A/B tests and funnel analysis
- Landing page owners reducing friction and increasing signups
- Teams with 2–4 test capacity per month seeking systematic CRO
conversion-optimization FAQ
Run full week cycles to account for day-of-week effects. Calculate minimum sample size before launch at 95% significance to avoid false positives.
No. Mobile converts ~50% of desktop rates and has different UX constraints (thumb reach, form complexity). Test mobile independently.
Use PIE prioritization: score each idea 1–10 on Potential (improvement possible), Importance (traffic volume), and Ease (implementation effort). Run highest-scoring tests first.
Use Bayesian testing methods for faster, actionable results instead of waiting for classical 95% significance thresholds.
Personalized experiences generate ~41% more impact than generic ones. Implement personalization where feasible to boost conversion lift.
Full instructions (SKILL.md)
Source of truth, from kostja94/marketing-skills.
name: conversion-optimization description: 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. metadata: version: 1.1.1
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
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