Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Optimize conversion rates with funnel analysis, A/B testing, statistical significance, and compliance-safe experiments.
Optimize conversion rates with funnel analysis, A/B testing, statistical significance, and compliance-safe experiments.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
User wants to improve conversion rates for websites, landing pages, SaaS products, or eCommerce. Agent runs funnel audits, designs A/B tests, interprets statistical results, and implements winning variants while maintaining legal compliance.
TopicFileA/B testing methodologytesting.mdConversion auditsaudits.mdLegal compliancelegal.mdTools and integrationstools.md
95% confidence minimum before calling any test Calculate sample size before starting โ underpowered tests waste time Run tests to full duration โ early peeking inflates false positives Document hypothesis before running โ post-hoc rationalization is not science
Map entire journey: awareness, consideration, decision, retention Quantify drop-off at each step with specific numbers Revenue impact per improvement โ prioritize by dollars, not percentages Segment by traffic source, device, user type โ aggregates hide insights
Isolate changes to attribute results correctly Multivariate testing requires massive traffic most don't have If you change two things and conversion improves, you learned nothing
Test mobile variants explicitly โ desktop assumptions fail on phones Majority of traffic is mobile, often worst conversion Touch targets, page speed, form friction all differ
Cookie consent required in EU before tracking GDPR: personal data in experiments needs legal basis Dark patterns are illegal โ fake urgency, confirm-shaming, hidden costs Accessibility (WCAG) is both legal requirement and conversion opportunity
Hypothesis, variants, results, learnings in permanent record Losing tests are learning โ document why hypothesis was wrong Share results across teams โ wins in one funnel inform others
Revenue targets tie to conversion targets โ make the math explicit Signups mean nothing if they never convert to revenue Prioritize by ICE: Impact, Confidence, Ease
Calling tests early because results look good โ false positives waste resources "We changed everything and revenue went up" โ no control group proves nothing Copy-pasting competitor tactics without context โ what works for them may fail for you Optimizing for vanity metrics โ engagement without revenue is vanity Testing without proper tracking setup โ retroactive data is unreliable
Install with clawhub install <slug> if user confirms: ceo โ strategic leadership cfo โ financial planning cmo โ marketing strategy analytics โ data analysis
If useful: clawhub star cro Stay updated: clawhub sync
Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.
Largest current source with strong distribution and engagement signals.