Claude-skill-registry funnel-map

Map complete funnel from ad to conversion, documenting each step, identifying metrics at each stage, calculating stage-to-stage conversion rates, and highlighting biggest drop-off points. Use for funnel optimization, diagnosing conversion issues, or documenting funnel architecture.

install
source · Clone the upstream repo
git clone https://github.com/majiayu000/claude-skill-registry
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/funnel-map" ~/.claude/skills/majiayu000-claude-skill-registry-funnel-map && rm -rf "$T"
manifest: skills/data/funnel-map/SKILL.md
source content

Funnel Map

Document and analyze complete conversion funnels.

Process

Step 1: Document Each Funnel Step

Standard Funnel Elements:

  1. Ad (Creative)
  2. Landing Page / Pre-sell
  3. Quiz (if applicable)
  4. Sales Page / VSL
  5. Checkout / Lead Form
  6. Upsells (if applicable)
  7. Thank You / Confirmation

For Each Step Document:

  • URL/asset name
  • Purpose in funnel
  • Key message
  • Primary CTA
  • Technical requirements

Step 2: Identify Metrics at Each Stage

Ad Level:

  • Impressions
  • Clicks
  • CTR
  • CPC
  • CPM

Landing/Quiz Level:

  • Page views
  • Time on page
  • Scroll depth
  • Quiz completion rate
  • Exit rate

Conversion Level:

  • Add to cart / Initiate checkout
  • Form submissions
  • Purchase/conversion
  • Upsell acceptance rate

Step 3: Calculate Stage-to-Stage Rates

Conversion Rate Formula: Stage N Conversion = (Stage N Actions / Stage N-1 Actions) × 100

Example Flow:

1000 Ad Clicks
  → 800 Land on Page (80% click-to-land)
    → 400 Start Quiz (50% page-to-quiz)
      → 280 Complete Quiz (70% quiz completion)
        → 140 View Offer (50% quiz-to-offer)
          → 28 Purchase (20% offer-to-purchase)

Overall: 28/1000 = 2.8% click-to-purchase

Step 4: Highlight Drop-off Points

Identify Biggest Leaks:

  • Which stage has lowest conversion rate?
  • Which stage loses most absolute volume?
  • Which stage is below industry benchmark?

Prioritize by Impact: Impact = Volume at stage × Potential improvement %

Step 5: Output Funnel Visualization

## FUNNEL MAP: [Offer/Campaign Name]

### FUNNEL OVERVIEW

**Type:** [Lead Gen / E-commerce / VSL / Quiz]
**Total Steps:** [#]
**End Goal:** [Purchase / Lead / Call]

---

### FUNNEL VISUALIZATION

┌─────────────────┐ │ AD CREATIVE │ Impressions: [X] │ CTR: X% │ Clicks: [X] └────────┬────────┘ │ [X%] click-to-land ▼ ┌─────────────────┐ │ LANDING PAGE │ Views: [X] │ Time: Xs │ Bounce: [X%] └────────┬────────┘ │ [X%] page-to-next ▼ ┌─────────────────┐ │ QUIZ │ Starts: [X] │ Complete: X% │ Completes: [X] └────────┬────────┘ │ [X%] quiz-to-offer ▼ ┌─────────────────┐ │ SALES PAGE │ Views: [X] │ VSL: X% │ Watch: [X%] └────────┬────────┘ │ [X%] page-to-checkout ▼ ┌─────────────────┐ │ CHECKOUT │ Initiates: [X] │ │ Completes: [X] └────────┬────────┘ │ [X%] checkout completion ▼ ┌─────────────────┐ │ CONVERSION │ Total: [X] │ CPA: $X │ Revenue: $[X] └─────────────────┘


---

### METRICS BY STAGE

| Stage | In | Out | Rate | Benchmark | Status |
|-------|-----|-----|------|-----------|--------|
| Ad → Click | [X] imp | [X] click | [X%] CTR | [X%] | [G/Y/R] |
| Click → Land | [X] click | [X] land | [X%] | 90%+ | [G/Y/R] |
| Land → Quiz | [X] land | [X] start | [X%] | 50%+ | [G/Y/R] |
| Quiz Completion | [X] start | [X] done | [X%] | 70%+ | [G/Y/R] |
| Quiz → Offer | [X] done | [X] view | [X%] | 80%+ | [G/Y/R] |
| Offer → Checkout | [X] view | [X] init | [X%] | 10-20% | [G/Y/R] |
| Checkout Complete | [X] init | [X] buy | [X%] | 30%+ | [G/Y/R] |

**Overall Funnel:**
- Click to Conversion: [X%]
- Cost Per Conversion: $[X]
- Revenue Per Click: $[X]

---

### DROP-OFF ANALYSIS

**Biggest Leak:** [Stage Name]
- Current rate: [X%]
- Benchmark: [X%]
- Gap: [X points]
- Volume lost: [X potential conversions]
- Revenue impact: $[X]

**Root Cause Analysis:**
- [Possible reason 1]
- [Possible reason 2]
- [Possible reason 3]

---

### STAGE DETAILS

**STAGE 1: Ad Creative**
- Asset: [Description]
- Metrics: CTR [X%], CPC $[X]
- Status: [Working/Needs work]
- Notes: [Observations]

**STAGE 2: Landing Page**
- URL: [Link]
- Purpose: [What it does]
- Metrics: [Key stats]
- Status: [Working/Needs work]
- Issues: [If any]

**STAGE 3: [Next Stage]**
...

---

### OPTIMIZATION PRIORITIES

**Priority 1: [Stage with biggest impact]**
- Current: [X%]
- Target: [X%]
- Actions:
  1. [Specific improvement]
  2. [Specific improvement]
- Expected lift: [X%]
- Revenue impact: $[X]

**Priority 2: [Next biggest opportunity]**
...

---

### A/B TEST ROADMAP

| Stage | Test | Control | Variant | Hypothesis |
|-------|------|---------|---------|------------|
| [Stage] | [Element] | [Current] | [New] | [Expected] |

---

### BENCHMARK COMPARISON

| Metric | Our Funnel | Industry | Gap |
|--------|------------|----------|-----|
| CTR | [X%] | [X%] | [+/-] |
| Land-to-Lead | [X%] | [X%] | [+/-] |
| Checkout Rate | [X%] | [X%] | [+/-] |
| Overall CVR | [X%] | [X%] | [+/-] |

---

### FUNNEL HEALTH SCORE

| Factor | Score | Weight | Weighted |
|--------|-------|--------|----------|
| Traffic Quality | X/10 | 20% | X |
| Page Performance | X/10 | 25% | X |
| Offer Strength | X/10 | 30% | X |
| Checkout Flow | X/10 | 25% | X |
| **TOTAL** | | | X/10 |

---

### ACTION ITEMS

**Immediate:**
1. [ ] [Action]
2. [ ] [Action]

**This Week:**
1. [ ] [Action]

**This Month:**
1. [ ] [Action]

Funnel Optimization Principles

Fix Biggest Leaks First:

  • Largest volume × lowest rate = priority
  • Small improvements at scale = big impact

Test One Variable at a Time:

  • Isolate changes
  • Measure impact clearly
  • Build on winners

Metrics Hierarchy (Jason K):

  • Initiate checkout = 3x purchase data
  • Use leading indicators for faster decisions

Source: Jason K, general funnel optimization