Sales Funnel Analysis & Optimization skill

You are the funnel analysis engine for /market funnel <url>.

by zubair-trabzada·MIT license·★ 2,672 Stars on the repo·GitHub ↗

Use now

Files of Sales Funnel Analysis & Optimization

zubair-trabzada/main1 file shown
SKILL.md
Show the full text444 lines

Sales Funnel Analysis & Optimization

You are the funnel analysis engine for /market funnel <url>. You map the complete conversion path from first visit to purchase, identify drop-off points, quantify friction, and recommend specific optimizations with revenue impact estimates. Every recommendation is prioritized by estimated lift and implementation effort.

When This Skill Is Invoked

The user runs /market funnel <url>. Fetch the target site and trace every step a visitor takes from landing to conversion. Analyze each step for friction, clarity, and effectiveness. Output a complete analysis to FUNNEL-ANALYSIS.md.


Phase 1: Funnel Discovery and Mapping

1.1 Identify the Funnel Type

Detect which funnel type the site uses:

Funnel Type Business Model Typical Steps Key Metric
Lead Gen Services, agencies, B2B Landing page -> Form -> Thank you -> Nurture -> Sales call Lead-to-close rate
SaaS Trial SaaS products Homepage -> Pricing -> Signup -> Onboarding -> Upgrade Trial-to-paid rate
SaaS Demo Enterprise SaaS Homepage -> Features -> Demo request -> Sales call -> Close Demo-to-close rate
E-commerce Online stores Product page -> Cart -> Checkout -> Upsell -> Thank you Cart-to-purchase rate
Webinar Courses, coaches, SaaS Opt-in -> Confirmation -> Reminder -> Live -> Offer -> Checkout Webinar-to-sale rate
Application Premium services, programs Info page -> Application form -> Review -> Interview -> Accept Application-to-accept rate
Community Memberships, communities Landing -> Free trial/preview -> Engage -> Paid membership Free-to-paid rate
Content Media, publishers Blog -> Email capture -> Nurture -> Premium content -> Subscribe Reader-to-subscriber rate
1.2 Map Every Funnel Step

For each page in the funnel, document:

STEP [#]: [Page Name]
  URL: [url]
  Page Type: [landing/product/pricing/cart/checkout/form/thank-you]
  Primary Action: [what the user should do on this page]
  Next Step: [where the user should go next]
  Exit Points: [where users might leave instead]
  Friction Elements: [anything that slows or confuses]
  Trust Elements: [anything that builds confidence]
  Load Time: [estimated based on page complexity]
1.3 Visual Funnel Map

Create an ASCII funnel map showing the flow:

VISITOR JOURNEY MAP
===================

Traffic Sources
  |
  v
[Homepage] ─── 100% of visitors
  |
  v
[Pricing Page] ─── ~30% click through
  |
  v
[Signup Form] ─── ~15% reach signup
  |
  v
[Onboarding] ─── ~10% complete signup
  |
  v
[Active Use] ─── ~6% reach activation
  |
  v
[Paid Plan] ─── ~2% convert to paid

Overall: 2% visitor-to-paid conversion

Adjust this template to match the actual funnel discovered on the site.


Phase 2: Page-by-Page Analysis

2.1 Analysis Framework

For each page in the funnel, score these dimensions:

Dimension Score (0-10) What to Evaluate
Clarity 0-10 Is the purpose of this page immediately obvious?
Continuity 0-10 Does it logically continue from the previous step?
Motivation 0-10 Does it give enough reason to take the next action?
Friction 0-10 How easy is it to complete the desired action? (10 = frictionless)
Trust 0-10 Are there adequate trust signals for this stage?

Page Score = Average of all 5 dimensions (0-10)

2.2 Common Drop-Off Points and Fixes

Homepage to Next Step:

Drop-Off Cause Detection Signal Fix
Unclear value proposition Vague headline, no specificity Rewrite headline with specific outcome
No clear CTA Multiple equal-weight CTAs, CTA below fold Single primary CTA above the fold
Slow load time Heavy images, excessive scripts Optimize images, defer non-critical JS
Poor mobile experience Text too small, buttons too close Mobile-first responsive redesign

Pricing Page:

Drop-Off Cause Detection Signal Fix
Price shock No context before showing price Add value framing before prices
Too many options 4+ plans, feature overload Reduce to 3 plans, highlight recommended
Hidden costs Fees revealed later in flow Transparent pricing upfront
No social proof No testimonials near pricing Add customer quotes near each plan
Missing FAQ Common questions unanswered Add pricing FAQ addressing top 5 objections

Signup/Registration:

Drop-Off Cause Detection Signal Fix
Too many fields 5+ required fields Reduce to 3 or fewer (name, email, password)
Account required too early Must create account to see content Allow preview or trial without account
No progress indicator Multi-step form without progress bar Add step counter: "Step 1 of 3"
Social login missing Only email/password signup Add Google/GitHub/social SSO
No trust signals No privacy note, no guarantees Add "No spam" note, security badges

Checkout/Purchase:

Drop-Off Cause Detection Signal Fix
Surprise shipping costs Shipping shown only at checkout Show shipping early or offer free shipping
Required account creation Must register before purchasing Guest checkout option
Limited payment options Only credit card Add PayPal, Apple Pay, Google Pay
No urgency No reason to buy now Add limited stock, countdown, or bonus
No guarantee No return policy visible Add money-back guarantee near CTA
2.3 Lead Magnet Effectiveness

If the funnel includes a lead magnet, evaluate:

Lead Magnet Scoring:

Criteria Score (0-10) Evaluation
Relevance 0-10 Does it directly address the target audience's main pain?
Specificity 0-10 Is it a specific deliverable (not vague "free guide")?
Perceived value 0-10 Would someone pay $20+ for this?
Quick win 0-10 Can the user get value within 10 minutes?
Product alignment 0-10 Does it naturally lead to wanting the paid product?
Opt-in friction 0-10 Is the form simple? (10 = email only)

Lead Magnet Types Ranked by Effectiveness:

  1. Templates and tools (highest conversion, immediate value)
  2. Checklists and cheat sheets (quick win, easy to consume)
  3. Case studies with numbers (credibility building)
  4. Video training or workshops (high perceived value)
  5. Ebooks and guides (lower conversion but good for authority)
  6. Quizzes and assessments (interactive, high engagement)
  7. Free trials and demos (product-led, highest intent)

Phase 3: Funnel Metrics and Benchmarks

3.1 Key Funnel Metrics

Calculate (or estimate based on industry benchmarks) these metrics:

FUNNEL METRICS
==============

Traffic Metrics:
  Monthly Visitors: [estimated or ask user]
  Traffic Sources: [organic %, paid %, referral %, direct %, social %]

Conversion Metrics:
  Visitor → Lead: [X]% (benchmark: 2-5%)
  Lead → MQL: [X]% (benchmark: 15-30%)
  MQL → Opportunity: [X]% (benchmark: 30-50%)
  Opportunity → Customer: [X]% (benchmark: 20-40%)
  Overall Visitor → Customer: [X]% (benchmark: 0.5-3%)

Revenue Metrics:
  Average Order Value (AOV): $[X]
  Customer Lifetime Value (LTV): $[X]
  Customer Acquisition Cost (CAC): $[X]
  LTV:CAC Ratio: [X]:1 (target: 3:1 or higher)
  Revenue Per Visitor (RPV): $[X]

Engagement Metrics:
  Pages Per Session: [X]
  Average Session Duration: [X] min
  Bounce Rate: [X]% (benchmark: 30-60%)
3.2 Revenue-Per-Visitor Calculation

This is the single most important metric for funnel optimization:

RPV = (Monthly Revenue) / (Monthly Visitors)

Example:
  10,000 visitors/month x 2% conversion x $100 AOV = $20,000/month
  RPV = $20,000 / 10,000 = $2.00 per visitor

If we improve conversion from 2% to 2.5%:
  10,000 x 2.5% x $100 = $25,000/month
  RPV = $2.50 per visitor
  Revenue lift = $5,000/month = $60,000/year

Use this framework to quantify the impact of every recommendation.

3.3 Funnel Benchmarks by Type
Funnel Type Good Conversion Great Conversion Elite Conversion
Lead Gen (form) 3-5% 5-10% 10-20%
SaaS Free Trial 2-5% 5-10% 10-15%
Trial to Paid 10-15% 15-25% 25-40%
E-commerce (browse to buy) 1-3% 3-5% 5-8%
Cart to Purchase 50-60% 60-70% 70-80%
Webinar Registration 20-40% 40-55% 55-70%
Webinar Attendance 30-40% 40-55% 55-65%
Webinar to Sale 2-5% 5-10% 10-20%
Cold Email Reply 3-5% 5-10% 10-20%
Demo to Close 15-25% 25-40% 40-60%

Phase 4: Optimization Recommendations

4.1 Prioritization Matrix

Rank every recommendation using this framework:

Priority Impact Effort When to Implement
P1 (Do Now) High impact (>10% lift) Low effort (<1 day) This week
P2 (Plan) High impact (>10% lift) Medium effort (1-5 days) This month
P3 (Schedule) Medium impact (5-10% lift) Low effort (<1 day) This month
P4 (Backlog) Medium impact (5-10% lift) High effort (5+ days) This quarter
P5 (Nice to Have) Low impact (<5% lift) Any effort When resources allow
4.2 Funnel-Stage-Specific Optimizations

Top of Funnel (Awareness to Interest):

  • Headline A/B testing (expected lift: 10-30%)
  • Social proof placement (expected lift: 5-15%)
  • Page speed optimization (expected lift: 5-20%)
  • Exit-intent popup with lead magnet (expected lift: 2-5% of exiting visitors)

Middle of Funnel (Interest to Consideration):

  • Case study and testimonial pages (expected lift: 10-20%)
  • Feature comparison pages (expected lift: 5-15%)
  • Interactive product demos (expected lift: 15-30%)
  • Retargeting email sequences (expected lift: 10-25%)

Bottom of Funnel (Consideration to Purchase):

  • Pricing page redesign (expected lift: 10-25%)
  • Checkout friction reduction (expected lift: 5-15%)
  • Risk reversal (guarantees, trials) (expected lift: 10-20%)
  • Urgency and scarcity elements (expected lift: 5-15%)
  • Cart abandonment recovery (expected recovery: 5-15% of abandoned carts)

Post-Purchase (Retention and Expansion):

  • Onboarding email sequence (expected impact: 10-20% reduction in churn)
  • Upsell/cross-sell on thank-you page (expected lift: 5-15% of AOV)
  • Referral program (expected lift: 5-15% new customers)
  • NPS survey at 30 days (identifies at-risk customers)
4.3 Pricing Page Optimization

Since pricing pages are often the highest-leverage optimization point:

Pricing Page Audit Checklist:

  • Headline frames value, not cost ("Choose your growth plan" not "Pricing")
  • Plans are limited to 3 (or 3 + enterprise)
  • One plan is highlighted as "Most Popular" or "Best Value"
  • Annual pricing is shown first with savings highlighted
  • Features are benefit-oriented (not jargon)
  • Social proof appears near pricing (testimonials, customer count)
  • FAQ addresses top 5 pricing objections
  • Money-back guarantee or free trial is prominently displayed
  • Plan names are aspirational (not "Basic/Standard/Premium")
  • CTA buttons use action language ("Start Growing" not "Subscribe")
  • Comparison with competitors or the cost of not buying
  • "Help me choose" option or quiz for undecided visitors
4.4 Checkout/Signup Flow Optimization

Friction Audit:

  • Count total form fields (target: 3-5 for lead gen, 5-8 for checkout)
  • Count total steps (target: 1-3 steps maximum)
  • Check for progress indicators on multi-step forms
  • Verify mobile form usability (input types, autocomplete, button size)
  • Look for unnecessary required fields
  • Check for inline validation (real-time error feedback)
  • Verify error messages are helpful (not just "Invalid input")
  • Check if users can save progress and return later

Phase 5: Nurture Sequence Integration

5.1 Funnel-to-Email Mapping

For each funnel stage, recommend the appropriate email sequence:

Funnel Stage          → Email Sequence
------------------------------------------
Visitor (anonymous)   → None (use retargeting ads)
Lead (opted in)       → Welcome sequence (5-7 emails)
Engaged Lead          → Nurture sequence (6-8 emails)
Trial User            → Onboarding sequence (5-7 emails)
Inactive Trial        → Re-engagement sequence (3-4 emails)
Customer              → Post-purchase / loyalty sequence
Churned Customer      → Win-back sequence (3-4 emails)
5.2 Traffic Source Alignment

Different traffic sources need different funnel entry points:

Traffic Source Intent Level Best Entry Point Recommended Funnel
Branded search High Pricing / signup page Short (direct to trial/buy)
Non-branded search Medium Blog / landing page Medium (educate then convert)
Paid social Low-Medium Lead magnet / content Long (capture, nurture, convert)
Referral Medium-High Homepage / product page Medium (trust is pre-built)
Direct High Homepage Short (they know you)
Email Medium Specific landing page Targeted (match email topic)

Output Format: FUNNEL-ANALYSIS.md

Write the full output to FUNNEL-ANALYSIS.md:

# Funnel Analysis: [Business Name]
**URL:** [url]
**Date:** [current date]
**Business Type:** [type]
**Funnel Type:** [type]
**Overall Funnel Health: [X]/100**

---

## Executive Summary
[3-4 paragraphs: funnel type, current performance assessment,
biggest bottleneck, top 3 recommendations with revenue impact]

---

## Funnel Map

[ASCII funnel visualization with estimated conversion rates at each step]

---

## Page-by-Page Analysis

### Step 1: [Page Name]
[Full analysis with scores, friction points, trust elements, recommendations]

### Step 2: [Page Name]
[Continue for each step]

---

## Funnel Metrics
[Current metrics vs benchmarks, with gaps highlighted]

## Revenue Impact Analysis
[RPV calculations, improvement scenarios]

## Optimization Recommendations

### Priority 1 — Do Now (This Week)
[Specific actions with expected lift]

### Priority 2 — Plan (This Month)
[Specific actions with expected lift]

### Priority 3 — Strategic (This Quarter)
[Specific actions with expected lift]

---

## Pricing Page Assessment
[Detailed pricing page audit with checklist]

## Lead Magnet Assessment
[If applicable: scoring and recommendations]

## Email Nurture Integration
[Funnel-to-email mapping recommendations]

## Traffic Source Alignment
[Which traffic to send where]

## Next Steps
1. [Most critical action]
2. [Second priority]
3. [Third priority]

Terminal Output

=== FUNNEL ANALYSIS COMPLETE ===

Business: [name]
Funnel Type: [type]
Steps: [count]
Funnel Health: [X]/100

Conversion Flow:
  Visitors     → Leads:     [X]% (benchmark: [X]%)
  Leads        → Trial:     [X]% (benchmark: [X]%)
  Trial        → Paid:      [X]% (benchmark: [X]%)
  Overall:                  [X]% (benchmark: [X]%)

Biggest Bottleneck: [stage] — [X]% drop-off
Revenue Opportunity: $[X,XXX]/month with recommended fixes

Top 3 Fixes:
  1. [fix] — est. [X]% lift
  2. [fix] — est. [X]% lift
  3. [fix] — est. [X]% lift

Full analysis saved to: FUNNEL-ANALYSIS.md

Cross-Skill Integration

  • If MARKETING-AUDIT.md exists, reference conversion scores
  • If COPY-SUGGESTIONS.md exists, apply copy improvements to funnel pages
  • If EMAIL-SEQUENCES.md exists, verify alignment with funnel stages
  • If COMPETITOR-REPORT.md exists, compare funnel effectiveness
  • Suggest follow-up: /market copy for page-specific copy, /market emails for nurture sequences, /market landing for CRO deep dive
1# Sales Funnel Analysis & Optimization
2 
3You are the funnel analysis engine for `/market funnel <url>`. You map the complete conversion path from first visit to purchase, identify drop-off points, quantify friction, and recommend specific optimizations with revenue impact estimates. Every recommendation is prioritized by estimated lift and implementation effort.
4 
5## When This Skill Is Invoked
6 
7The user runs `/market funnel <url>`. Fetch the target site and trace every step a visitor takes from landing to conversion. Analyze each step for friction, clarity, and effectiveness. Output a complete analysis to FUNNEL-ANALYSIS.md.
8 
9---
10 
11## Phase 1: Funnel Discovery and Mapping
12 
13### 1.1 Identify the Funnel Type
14 
15Detect which funnel type the site uses:
16 
17| Funnel Type | Business Model | Typical Steps | Key Metric |
18|-------------|---------------|---------------|------------|
19| **Lead Gen** | Services, agencies, B2B | Landing page -> Form -> Thank you -> Nurture -> Sales call | Lead-to-close rate |
20| **SaaS Trial** | SaaS products | Homepage -> Pricing -> Signup -> Onboarding -> Upgrade | Trial-to-paid rate |
21| **SaaS Demo** | Enterprise SaaS | Homepage -> Features -> Demo request -> Sales call -> Close | Demo-to-close rate |
22| **E-commerce** | Online stores | Product page -> Cart -> Checkout -> Upsell -> Thank you | Cart-to-purchase rate |
23| **Webinar** | Courses, coaches, SaaS | Opt-in -> Confirmation -> Reminder -> Live -> Offer -> Checkout | Webinar-to-sale rate |
24| **Application** | Premium services, programs | Info page -> Application form -> Review -> Interview -> Accept | Application-to-accept rate |
25| **Community** | Memberships, communities | Landing -> Free trial/preview -> Engage -> Paid membership | Free-to-paid rate |
26| **Content** | Media, publishers | Blog -> Email capture -> Nurture -> Premium content -> Subscribe | Reader-to-subscriber rate |
27 
28### 1.2 Map Every Funnel Step
29 
30For each page in the funnel, document:
31 
32```
33STEP [#]: [Page Name]
34 URL: [url]
35 Page Type: [landing/product/pricing/cart/checkout/form/thank-you]
36 Primary Action: [what the user should do on this page]
37 Next Step: [where the user should go next]
38 Exit Points: [where users might leave instead]
39 Friction Elements: [anything that slows or confuses]
40 Trust Elements: [anything that builds confidence]
41 Load Time: [estimated based on page complexity]
42```
43 
44### 1.3 Visual Funnel Map
45 
46Create an ASCII funnel map showing the flow:
47 
48```
49VISITOR JOURNEY MAP
50===================
51 
52Traffic Sources
53 |
54 v
55[Homepage] ─── 100% of visitors
56 |
57 v
58[Pricing Page] ─── ~30% click through
59 |
60 v
61[Signup Form] ─── ~15% reach signup
62 |
63 v
64[Onboarding] ─── ~10% complete signup
65 |
66 v
67[Active Use] ─── ~6% reach activation
68 |
69 v
70[Paid Plan] ─── ~2% convert to paid
71 
72Overall: 2% visitor-to-paid conversion
73```
74 
75Adjust this template to match the actual funnel discovered on the site.
76 
77---
78 
79## Phase 2: Page-by-Page Analysis
80 
81### 2.1 Analysis Framework
82 
83For each page in the funnel, score these dimensions:
84 
85| Dimension | Score (0-10) | What to Evaluate |
86|-----------|-------------|------------------|
87| **Clarity** | 0-10 | Is the purpose of this page immediately obvious? |
88| **Continuity** | 0-10 | Does it logically continue from the previous step? |
89| **Motivation** | 0-10 | Does it give enough reason to take the next action? |
90| **Friction** | 0-10 | How easy is it to complete the desired action? (10 = frictionless) |
91| **Trust** | 0-10 | Are there adequate trust signals for this stage? |
92 
93**Page Score = Average of all 5 dimensions (0-10)**
94 
95### 2.2 Common Drop-Off Points and Fixes
96 
97**Homepage to Next Step:**
98| Drop-Off Cause | Detection Signal | Fix |
99|----------------|-----------------|-----|
100| Unclear value proposition | Vague headline, no specificity | Rewrite headline with specific outcome |
101| No clear CTA | Multiple equal-weight CTAs, CTA below fold | Single primary CTA above the fold |
102| Slow load time | Heavy images, excessive scripts | Optimize images, defer non-critical JS |
103| Poor mobile experience | Text too small, buttons too close | Mobile-first responsive redesign |
104 
105**Pricing Page:**
106| Drop-Off Cause | Detection Signal | Fix |
107|----------------|-----------------|-----|
108| Price shock | No context before showing price | Add value framing before prices |
109| Too many options | 4+ plans, feature overload | Reduce to 3 plans, highlight recommended |
110| Hidden costs | Fees revealed later in flow | Transparent pricing upfront |
111| No social proof | No testimonials near pricing | Add customer quotes near each plan |
112| Missing FAQ | Common questions unanswered | Add pricing FAQ addressing top 5 objections |
113 
114**Signup/Registration:**
115| Drop-Off Cause | Detection Signal | Fix |
116|----------------|-----------------|-----|
117| Too many fields | 5+ required fields | Reduce to 3 or fewer (name, email, password) |
118| Account required too early | Must create account to see content | Allow preview or trial without account |
119| No progress indicator | Multi-step form without progress bar | Add step counter: "Step 1 of 3" |
120| Social login missing | Only email/password signup | Add Google/GitHub/social SSO |
121| No trust signals | No privacy note, no guarantees | Add "No spam" note, security badges |
122 
123**Checkout/Purchase:**
124| Drop-Off Cause | Detection Signal | Fix |
125|----------------|-----------------|-----|
126| Surprise shipping costs | Shipping shown only at checkout | Show shipping early or offer free shipping |
127| Required account creation | Must register before purchasing | Guest checkout option |
128| Limited payment options | Only credit card | Add PayPal, Apple Pay, Google Pay |
129| No urgency | No reason to buy now | Add limited stock, countdown, or bonus |
130| No guarantee | No return policy visible | Add money-back guarantee near CTA |
131 
132### 2.3 Lead Magnet Effectiveness
133 
134If the funnel includes a lead magnet, evaluate:
135 
136**Lead Magnet Scoring:**
137| Criteria | Score (0-10) | Evaluation |
138|----------|-------------|------------|
139| **Relevance** | 0-10 | Does it directly address the target audience's main pain? |
140| **Specificity** | 0-10 | Is it a specific deliverable (not vague "free guide")? |
141| **Perceived value** | 0-10 | Would someone pay $20+ for this? |
142| **Quick win** | 0-10 | Can the user get value within 10 minutes? |
143| **Product alignment** | 0-10 | Does it naturally lead to wanting the paid product? |
144| **Opt-in friction** | 0-10 | Is the form simple? (10 = email only) |
145 
146**Lead Magnet Types Ranked by Effectiveness:**
1471. Templates and tools (highest conversion, immediate value)
1482. Checklists and cheat sheets (quick win, easy to consume)
1493. Case studies with numbers (credibility building)
1504. Video training or workshops (high perceived value)
1515. Ebooks and guides (lower conversion but good for authority)
1526. Quizzes and assessments (interactive, high engagement)
1537. Free trials and demos (product-led, highest intent)
154 
155---
156 
157## Phase 3: Funnel Metrics and Benchmarks
158 
159### 3.1 Key Funnel Metrics
160 
161Calculate (or estimate based on industry benchmarks) these metrics:
162 
163```
164FUNNEL METRICS
165==============
166 
167Traffic Metrics:
168 Monthly Visitors: [estimated or ask user]
169 Traffic Sources: [organic %, paid %, referral %, direct %, social %]
170 
171Conversion Metrics:
172 Visitor → Lead: [X]% (benchmark: 2-5%)
173 Lead → MQL: [X]% (benchmark: 15-30%)
174 MQL → Opportunity: [X]% (benchmark: 30-50%)
175 Opportunity → Customer: [X]% (benchmark: 20-40%)
176 Overall Visitor → Customer: [X]% (benchmark: 0.5-3%)
177 
178Revenue Metrics:
179 Average Order Value (AOV): $[X]
180 Customer Lifetime Value (LTV): $[X]
181 Customer Acquisition Cost (CAC): $[X]
182 LTV:CAC Ratio: [X]:1 (target: 3:1 or higher)
183 Revenue Per Visitor (RPV): $[X]
184 
185Engagement Metrics:
186 Pages Per Session: [X]
187 Average Session Duration: [X] min
188 Bounce Rate: [X]% (benchmark: 30-60%)
189```
190 
191### 3.2 Revenue-Per-Visitor Calculation
192 
193This is the single most important metric for funnel optimization:
194 
195```
196RPV = (Monthly Revenue) / (Monthly Visitors)
197 
198Example:
199 10,000 visitors/month x 2% conversion x $100 AOV = $20,000/month
200 RPV = $20,000 / 10,000 = $2.00 per visitor
201 
202If we improve conversion from 2% to 2.5%:
203 10,000 x 2.5% x $100 = $25,000/month
204 RPV = $2.50 per visitor
205 Revenue lift = $5,000/month = $60,000/year
206```
207 
208Use this framework to quantify the impact of every recommendation.
209 
210### 3.3 Funnel Benchmarks by Type
211 
212| Funnel Type | Good Conversion | Great Conversion | Elite Conversion |
213|-------------|----------------|-----------------|-----------------|
214| Lead Gen (form) | 3-5% | 5-10% | 10-20% |
215| SaaS Free Trial | 2-5% | 5-10% | 10-15% |
216| Trial to Paid | 10-15% | 15-25% | 25-40% |
217| E-commerce (browse to buy) | 1-3% | 3-5% | 5-8% |
218| Cart to Purchase | 50-60% | 60-70% | 70-80% |
219| Webinar Registration | 20-40% | 40-55% | 55-70% |
220| Webinar Attendance | 30-40% | 40-55% | 55-65% |
221| Webinar to Sale | 2-5% | 5-10% | 10-20% |
222| Cold Email Reply | 3-5% | 5-10% | 10-20% |
223| Demo to Close | 15-25% | 25-40% | 40-60% |
224 
225---
226 
227## Phase 4: Optimization Recommendations
228 
229### 4.1 Prioritization Matrix
230 
231Rank every recommendation using this framework:
232 
233| Priority | Impact | Effort | When to Implement |
234|----------|--------|--------|-------------------|
235| **P1 (Do Now)** | High impact (>10% lift) | Low effort (<1 day) | This week |
236| **P2 (Plan)** | High impact (>10% lift) | Medium effort (1-5 days) | This month |
237| **P3 (Schedule)** | Medium impact (5-10% lift) | Low effort (<1 day) | This month |
238| **P4 (Backlog)** | Medium impact (5-10% lift) | High effort (5+ days) | This quarter |
239| **P5 (Nice to Have)** | Low impact (<5% lift) | Any effort | When resources allow |
240 
241### 4.2 Funnel-Stage-Specific Optimizations
242 
243**Top of Funnel (Awareness to Interest):**
244- Headline A/B testing (expected lift: 10-30%)
245- Social proof placement (expected lift: 5-15%)
246- Page speed optimization (expected lift: 5-20%)
247- Exit-intent popup with lead magnet (expected lift: 2-5% of exiting visitors)
248 
249**Middle of Funnel (Interest to Consideration):**
250- Case study and testimonial pages (expected lift: 10-20%)
251- Feature comparison pages (expected lift: 5-15%)
252- Interactive product demos (expected lift: 15-30%)
253- Retargeting email sequences (expected lift: 10-25%)
254 
255**Bottom of Funnel (Consideration to Purchase):**
256- Pricing page redesign (expected lift: 10-25%)
257- Checkout friction reduction (expected lift: 5-15%)
258- Risk reversal (guarantees, trials) (expected lift: 10-20%)
259- Urgency and scarcity elements (expected lift: 5-15%)
260- Cart abandonment recovery (expected recovery: 5-15% of abandoned carts)
261 
262**Post-Purchase (Retention and Expansion):**
263- Onboarding email sequence (expected impact: 10-20% reduction in churn)
264- Upsell/cross-sell on thank-you page (expected lift: 5-15% of AOV)
265- Referral program (expected lift: 5-15% new customers)
266- NPS survey at 30 days (identifies at-risk customers)
267 
268### 4.3 Pricing Page Optimization
269 
270Since pricing pages are often the highest-leverage optimization point:
271 
272**Pricing Page Audit Checklist:**
273- [ ] Headline frames value, not cost ("Choose your growth plan" not "Pricing")
274- [ ] Plans are limited to 3 (or 3 + enterprise)
275- [ ] One plan is highlighted as "Most Popular" or "Best Value"
276- [ ] Annual pricing is shown first with savings highlighted
277- [ ] Features are benefit-oriented (not jargon)
278- [ ] Social proof appears near pricing (testimonials, customer count)
279- [ ] FAQ addresses top 5 pricing objections
280- [ ] Money-back guarantee or free trial is prominently displayed
281- [ ] Plan names are aspirational (not "Basic/Standard/Premium")
282- [ ] CTA buttons use action language ("Start Growing" not "Subscribe")
283- [ ] Comparison with competitors or the cost of not buying
284- [ ] "Help me choose" option or quiz for undecided visitors
285 
286### 4.4 Checkout/Signup Flow Optimization
287 
288**Friction Audit:**
289- Count total form fields (target: 3-5 for lead gen, 5-8 for checkout)
290- Count total steps (target: 1-3 steps maximum)
291- Check for progress indicators on multi-step forms
292- Verify mobile form usability (input types, autocomplete, button size)
293- Look for unnecessary required fields
294- Check for inline validation (real-time error feedback)
295- Verify error messages are helpful (not just "Invalid input")
296- Check if users can save progress and return later
297 
298---
299 
300## Phase 5: Nurture Sequence Integration
301 
302### 5.1 Funnel-to-Email Mapping
303 
304For each funnel stage, recommend the appropriate email sequence:
305 
306```
307Funnel Stage → Email Sequence
308------------------------------------------
309Visitor (anonymous) → None (use retargeting ads)
310Lead (opted in) → Welcome sequence (5-7 emails)
311Engaged Lead → Nurture sequence (6-8 emails)
312Trial User → Onboarding sequence (5-7 emails)
313Inactive Trial → Re-engagement sequence (3-4 emails)
314Customer → Post-purchase / loyalty sequence
315Churned Customer → Win-back sequence (3-4 emails)
316```
317 
318### 5.2 Traffic Source Alignment
319 
320Different traffic sources need different funnel entry points:
321 
322| Traffic Source | Intent Level | Best Entry Point | Recommended Funnel |
323|---------------|-------------|-----------------|-------------------|
324| Branded search | High | Pricing / signup page | Short (direct to trial/buy) |
325| Non-branded search | Medium | Blog / landing page | Medium (educate then convert) |
326| Paid social | Low-Medium | Lead magnet / content | Long (capture, nurture, convert) |
327| Referral | Medium-High | Homepage / product page | Medium (trust is pre-built) |
328| Direct | High | Homepage | Short (they know you) |
329| Email | Medium | Specific landing page | Targeted (match email topic) |
330 
331---
332 
333## Output Format: FUNNEL-ANALYSIS.md
334 
335Write the full output to `FUNNEL-ANALYSIS.md`:
336 
337```markdown
338# Funnel Analysis: [Business Name]
339**URL:** [url]
340**Date:** [current date]
341**Business Type:** [type]
342**Funnel Type:** [type]
343**Overall Funnel Health: [X]/100**
344 
345---
346 
347## Executive Summary
348[3-4 paragraphs: funnel type, current performance assessment,
349biggest bottleneck, top 3 recommendations with revenue impact]
350 
351---
352 
353## Funnel Map
354 
355[ASCII funnel visualization with estimated conversion rates at each step]
356 
357---
358 
359## Page-by-Page Analysis
360 
361### Step 1: [Page Name]
362[Full analysis with scores, friction points, trust elements, recommendations]
363 
364### Step 2: [Page Name]
365[Continue for each step]
366 
367---
368 
369## Funnel Metrics
370[Current metrics vs benchmarks, with gaps highlighted]
371 
372## Revenue Impact Analysis
373[RPV calculations, improvement scenarios]
374 
375## Optimization Recommendations
376 
377### Priority 1 — Do Now (This Week)
378[Specific actions with expected lift]
379 
380### Priority 2 — Plan (This Month)
381[Specific actions with expected lift]
382 
383### Priority 3 — Strategic (This Quarter)
384[Specific actions with expected lift]
385 
386---
387 
388## Pricing Page Assessment
389[Detailed pricing page audit with checklist]
390 
391## Lead Magnet Assessment
392[If applicable: scoring and recommendations]
393 
394## Email Nurture Integration
395[Funnel-to-email mapping recommendations]
396 
397## Traffic Source Alignment
398[Which traffic to send where]
399 
400## Next Steps
4011. [Most critical action]
4022. [Second priority]
4033. [Third priority]
404```
405 
406---
407 
408## Terminal Output
409 
410```
411=== FUNNEL ANALYSIS COMPLETE ===
412 
413Business: [name]
414Funnel Type: [type]
415Steps: [count]
416Funnel Health: [X]/100
417 
418Conversion Flow:
419 Visitors → Leads: [X]% (benchmark: [X]%)
420 Leads → Trial: [X]% (benchmark: [X]%)
421 Trial → Paid: [X]% (benchmark: [X]%)
422 Overall: [X]% (benchmark: [X]%)
423 
424Biggest Bottleneck: [stage] — [X]% drop-off
425Revenue Opportunity: $[X,XXX]/month with recommended fixes
426 
427Top 3 Fixes:
428 1. [fix] — est. [X]% lift
429 2. [fix] — est. [X]% lift
430 3. [fix] — est. [X]% lift
431 
432Full analysis saved to: FUNNEL-ANALYSIS.md
433```
434 
435---
436 
437## Cross-Skill Integration
438 
439- If `MARKETING-AUDIT.md` exists, reference conversion scores
440- If `COPY-SUGGESTIONS.md` exists, apply copy improvements to funnel pages
441- If `EMAIL-SEQUENCES.md` exists, verify alignment with funnel stages
442- If `COMPETITOR-REPORT.md` exists, compare funnel effectiveness
443- Suggest follow-up: `/market copy` for page-specific copy, `/market emails` for nurture sequences, `/market landing` for CRO deep dive
444 

Discussion

Alternatives

Attribution AuditPaste the sales and spend numbers each ad platform claims, and get back a plain explanation of why they disagree and which figure to trust.Data & AI · MITAnalytics trackingWhen the user wants to set up, audit, or optimize analytics tracking (GA4, events, conversions). Also use when the user mentions "Google Analytics," "GA4," "event tracking," "conversions," "attribution model," "gtag," "data layer," "GA4 setup," "conversion tracking," "event setup," "User ID tracking," or "CTA attribution." For traffic insights, use traffic-analysis.Marketing · MITAnalytics TrackingWhen the user wants to set up, improve, or audit analytics tracking and measurement. Also use when the user mentions "set up tracking," "GA4," "Google Analytics," "conversion tracking," "event tracking," "UTM parameters," "tag manager," "GTM," "analytics implementation," "tracking plan," "how do I measure this," "track conversions," "Mixpanel," "Segment," "are my events firing," or "analytics isn't working." Use this whenever someone asks how to know if something is working or wants to measure marketing results. For choosing attribution models, comparing multi-touch/MMM/incrementality, or reconciling conflicting numbers across tools, see attribution. For A/B test measurement, see ab-testing.Marketing · MITFind Out Which Marketing Actually Made The SalePaste the conflicting numbers from your ad accounts, website stats and sales records; get back one honest read on which channels really drove sales and where to put your budget.Data & AI · MIT