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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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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:

  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

StepAction
1. ResearchMap funnel; identify high-traffic, low-conversion pages
2. HypothesizeForm testable hypothesis (if X, then Y because Z)
3. PrioritizeScore by Potential, Importance, Ease (PIE)
4. TestA/B or multivariate; adequate sample size
5. AnalyzeStatistical significance; implement winner

PIE Prioritization Framework

Score each test idea 1–10:

FactorQuestion
PotentialHow much improvement is possible?
ImportanceHow much traffic does this page get?
EaseHow easy to implement?

Rank backlog by total score; run highest-impact tests first.

A/B Testing Best Practices

PracticeGuideline
Sample sizeCalculate minimum before launch; 95% significance without adequate sample = false positives
DurationRun full week cycles; account for day-of-week effects
One variableTest one element per experiment (or use MVT for multiple)
Mobile separateMobile converts ~50% of desktop; test mobile independently—thumb reach, form complexity differ
Low trafficUse Bayesian testing for faster, actionable results

Key Testing Areas

Page TypeTest Ideas
HomepageSearch bar prominence; personalized content; hero CTA; social proof placement
Landing pageHeadline; form length; CTA copy; above-fold layout
Product/CategoryQuick view; descriptions; add-to-cart placement
CheckoutForm fields; progress indicator; trust badges; guest checkout
PricingPlan order; anchoring; CTA per tier

Personalization: Personalized experiences generate ~41% more impact than generic ones.

Commercialization Infrastructure

ModulePurpose
Data & BIData warehouse; user behavior events; agile surveys
A/B testingExperiment platform; statistical significance; backend-controlled variants
User educationHelp docs (multi-language); update notifications; EDM
AttributionAd 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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