From artibot-cowork
Analyzes multi-step conversion funnels to identify drop-offs and optimize signup flows, onboarding, checkout processes, and lead qualification pipelines. Use when user asks about funnel analysis, conversion funnel, drop-off analysis, signup flow, checkout optimization, onboarding funnel, funnel optimization, 퍼널, 전환 퍼널, or 이탈 분석.
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/artibot-cowork:cro-funnelThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
- Analyzing multi-step conversion funnels for drop-offs
Map Funnel -> Measure Steps -> Identify Drop-offs -> Diagnose Causes -> Prioritize Fixes -> Test Improvements -> Validate -> Iterate
| Funnel | Stages | Key Metric |
|---|---|---|
| Marketing | Visit -> Lead -> MQL -> SQL -> Customer | End-to-end CVR |
| Signup | Landing -> Registration -> Verification -> Onboarding | Signup completion % |
| Onboarding | Account -> Setup -> First Action -> Aha Moment -> Habit | Activation rate |
| E-commerce | Browse -> Cart -> Checkout -> Payment -> Confirmation | Cart-to-purchase % |
| SaaS Trial | Signup -> Activation -> Engagement -> Conversion | Trial-to-paid % |
| Lead Gen | Ad -> Landing -> Form -> Thank You -> Follow-up | Form completion % |
STAGE | USERS | CVR | DROP-OFF | BENCHMARK
---------------|---------|---------|----------|----------
[Stage 1] | [count] | 100% | -- | --
[Stage 2] | [count] | [X]% | [Y]% | [Z]%
[Stage 3] | [count] | [X]% | [Y]% | [Z]%
[Stage 4] | [count] | [X]% | [Y]% | [Z]%
End-to-End | [count] | [X]% | [Y]% | [Z]%
Biggest Drop-off: Stage [n] -> Stage [n+1] ([Y]% loss)
| Symptom | Likely Causes | Investigation |
|---|---|---|
| High bounce at entry | Mismatch with ad/source, slow load, unclear VP | Check source-page alignment, page speed |
| Registration abandonment | Too many fields, unclear value, no social login | Audit field count, test progressive profiling |
| Verification drop-off | Complex process, email delivery, friction | Test SMS vs email, simplify steps |
| Onboarding incomplete | Long process, unclear next steps, no motivation | Test guided tours, reduce steps |
| Cart abandonment | Unexpected costs, complex checkout, trust issues | Show costs early, simplify, add guarantees |
| Payment failure | Limited options, technical errors, security concerns | Add payment methods, fix errors, add badges |
| Strategy | Description | Expected Lift |
|---|---|---|
| Reduce Steps | Combine or eliminate unnecessary stages | 10-30% |
| Progressive Disclosure | Show only what's needed at each step | 5-15% |
| Social Login/SSO | Reduce registration friction | 15-25% |
| Progress Indicators | Show completion percentage | 5-10% |
| Smart Defaults | Pre-fill fields where possible | 5-15% |
| Exit-Intent Recovery | Capture abandoning users | 5-10% |
| Micro-Commitments | Small steps leading to bigger commitment | 10-20% |
| Urgency/Scarcity | Create time pressure at key steps | 5-15% |
| Stage | Benchmark CVR |
|---|---|
| Visit -> Signup | 2-5% |
| Signup -> Activation | 20-40% |
| Activation -> Engagement | 15-30% |
| Trial -> Paid | 10-25% |
| End-to-End | 0.5-3% |
| Stage | Benchmark CVR |
|---|---|
| Product View -> Cart | 8-15% |
| Cart -> Checkout | 40-60% |
| Checkout -> Payment | 60-80% |
| Payment -> Confirmation | 90-95% |
| End-to-End | 2-4% |
| Stage | Benchmark CVR |
|---|---|
| Visit -> Form View | 30-60% |
| Form View -> Start | 40-70% |
| Form Start -> Submit | 60-85% |
| Submit -> Qualified | 20-40% |
| End-to-End | 3-8% |
| Micro-Conversion | Stage | Indicates |
|---|---|---|
| Scroll depth >50% | Engagement | Content interest |
| CTA hover | Intent | Considering action |
| Form field focus | Initiation | Starting the process |
| Field completion | Progress | Moving forward |
| Error encounter | Friction | Potential drop-off |
| Back button click | Hesitation | Reconsidering |
ICE Framework: Impact (1-10) x Confidence (1-10) x Ease (1-10)
| Test Idea | Impact | Confidence | Ease | Score | Priority |
|---|---|---|---|---|---|
| Reduce form fields | 8 | 7 | 9 | 504 | P1 |
| Add progress bar | 5 | 6 | 8 | 240 | P2 |
| Social login | 7 | 8 | 5 | 280 | P2 |
| Exit popup | 4 | 5 | 9 | 180 | P3 |
FUNNEL ANALYSIS
===============
Funnel: [funnel type]
Period: [date range]
Total Users:[count]
End-to-End: [%] CVR
STAGE ANALYSIS
--------------
Stage | Users | CVR | Drop-off | vs Benchmark
--------------|---------|--------|----------|-------------
[stage] | [count] | [%] | [%] | [above|below]
CRITICAL DROP-OFFS
------------------
Stage [n] -> [n+1]: [Y]% drop-off
Root Cause: [diagnosis]
Fix: [recommendation]
Est. Lift: +[X]%
OPTIMIZATION PLAN
-----------------
Priority | Stage | Action | Est. Lift | Test
---------|---------|-------------------|----------|------
P1 | [stage] | [specific action] | +[X]% | [A/B test]
Funnel Types: Marketing, Signup, Onboarding, E-commerce, SaaS Trial, Lead Gen Optimization Strategies: Reduce steps, progressive disclosure, social login, progress indicators Prioritization: ICE framework (Impact x Confidence x Ease) Key Insight: Focus on the biggest drop-off stage first for maximum impact
${CLAUDE_SKILL_DIR}/references/funnel-diagnostics.md for funnel diagnostics and stage analysis framework${CLAUDE_SKILL_DIR}/references/micro-conversion-tracking.md for micro-conversion tracking and analysisnpx claudepluginhub yoodaddy0311/artibot --plugin artibot-coworkMines projects and conversations into a searchable memory palace. Activates on queries about MemPalace, memory palace, mining, searching, palace setup, wings, rooms, drawers, or recalling past work.
Whole-repo audit for over-engineering: finds dead code, unnecessary abstractions, stdlib-replaceable dependencies. Outputs ranked findings and net line/dep savings.