conversion-optimization

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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

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:

1. Funnel stage: Awareness, consideration, decision, post-purchase
2. Conversion goal: Signup, purchase, download, demo request
3. Traffic: Volume; mobile vs desktop split
4. 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