cro-funnel

Analyzes multi-step conversion funnels to identify drop-offs and prioritize optimization tests.

3|2|Updated Feb 13, 2026
One-click install
npx skills add https://github.com/Yoodaddy0311/artibot --skill cro-funnel-yoodaddy0311
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cro-funnel
Source: https://github.com/Yoodaddy0311/artibot/tree/main/plugins/artibot/skills/cro-funnel
Command: npx skills add https://github.com/Yoodaddy0311/artibot --skill cro-funnel-yoodaddy0311

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Multi-step funnels like signup, onboarding, and checkout lose users at every stage, but without structured analysis it is hard to know which stage leaks the most and why. This Skill measures stage-by-stage conversion, benchmarks drop-offs against industry standards, and turns the findings into a prioritized fix plan. ## Core Features & Use Cases - Stage-by-Stage Funnel Analysis: Map funnel stages, measure conversion and drop-off rates, and compare against benchmarks for SaaS, e-commerce, and lead generation funnels. - Drop-off Diagnosis: Match symptoms like registration abandonment or cart abandonment to likely causes and investigation steps. - ICE-Prioritized Test Planning: Score candidate fixes by Impact, Confidence, and Ease to decide which A/B test to run first. - Use Case: A SaaS team sees trial signups stall. The Skill maps the signup-to-activation funnel, flags verification as the biggest drop-off versus benchmark, and recommends testing SMS verification with an estimated lift. ## Quick Start Analyze my signup funnel with these stage numbers and tell me where the biggest drop-off is and what to test first.

Frequently Asked Questions about cro-funnel

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze a conversion funnel for drop-offs?▼

Map each funnel stage, record user counts per stage, then compute conversion and drop-off rates between consecutive steps. Compare each stage against benchmarks for your funnel type and investigate the stage with the largest gap using qualitative data like session replays or surveys.

What is a good conversion rate for a SaaS signup funnel?▼

Typical SaaS benchmarks are 2-5% for visit-to-signup, 20-40% for signup-to-activation, and 10-25% for trial-to-paid, giving 0.5-3% end-to-end. Treat these as reference points and segment by cohort, device, and traffic source before concluding a stage underperforms.

How do I prioritize which funnel fixes to test first?▼

Use the ICE framework: score each candidate fix for Impact, Confidence, and Ease on a 1-10 scale, then multiply the scores. Run the highest-scoring test first, which is usually a quick win like reducing form fields or adding guest checkout.

When should I not use funnel analysis?▼

Funnel analysis does not apply to single-page or single-step conversions with no multi-step flow to measure. It also fails when traffic or stage-level data is unavailable, since drop-off points cannot be measured or benchmarked without per-stage counts.

Why do micro-conversions matter in funnel optimization?▼

Micro-conversions like scroll depth, CTA hover, and field completion reveal friction before the macro-conversion drops. Tracking them with tools like Google Tag Manager lets you diagnose whether a drop-off stems from relevance, trust, or form usability issues.