Funnel Design
Funnel Stages
TOFU / MOFU / BOFU Model
TOFU (Top of Funnel) — Awareness
Goal: Capture attention of people who have the problem
Content: Blog posts, social, podcasts, videos, SEO
Metric: Unique visitors, impressions, brand searches
MOFU (Middle of Funnel) — Consideration
Goal: Educate and build trust with interested prospects
Content: Guides, webinars, case studies, comparison pages
Metric: Lead captures, email subscribers, content downloads
BOFU (Bottom of Funnel) — Decision
Goal: Convert ready-to-buy prospects
Content: Demos, trials, pricing, testimonials, proposals
Metric: Trials, demos, qualified pipeline, closed-won
Extended Funnel (with Retention)
Awareness → Interest → Consideration → Intent → Purchase → Onboarding → Retention → Advocacy
Funnel Mapping Process
Step 1 — Document Current State
For each stage, answer:
- What is the user trying to accomplish?
- What content/touchpoints exist here?
- What is the conversion rate TO the next stage?
- What is the biggest drop-off reason?
Funnel Mapping Template
| Stage |
User Goal |
Touchpoints |
Entry Volume |
Exit Volume |
Conv Rate |
Drop Reason |
| Awareness |
Understand problem exists |
Blog, SEO, ads |
100,000 |
5,000 |
5% |
Irrelevant traffic |
| Interest |
Learn more |
Newsletter, retargeting |
5,000 |
1,500 |
30% |
Low email open rate |
| Consideration |
Evaluate options |
Webinar, case studies |
1,500 |
450 |
30% |
Trust gap |
| Intent |
Make decision |
Trial, demo |
450 |
90 |
20% |
Friction in signup |
| Purchase |
Buy |
Pricing, checkout |
90 |
45 |
50% |
Price objection |
Step 2 — Identify Biggest Drop-off
Leakage = (Stage_In - Stage_Out) × Stage_Value
Fix the stage with the highest leakage first — it compounds improvements downstream.
Content by Funnel Stage
TOFU Content Types
- SEO blog posts — target informational keywords
- Problem-aware social content — LinkedIn/Twitter threads
- Podcasts / YouTube — long-form educational
- PR / media features — credibility and reach
- Paid awareness — broad targeting, non-conversion objective
MOFU Content Types
- Lead magnets: checklists, templates, calculators, benchmarks
- Email nurture sequences: 5–10 email series educating on problem → solution
- Webinars: live demonstration of expertise
- Case studies: proof that your solution works
- Comparison content: "[Your product] vs [Competitor]" pages
BOFU Content Types
- Free trial / freemium: self-serve evaluation
- Live demo / sales call: human-guided evaluation
- ROI calculator: quantify value before purchase
- Security/compliance docs: reduce enterprise risk perception
- Customer references / calls: peer validation
- Proposal templates: accelerate procurement
Conversion Points Design
Friction Reduction Checklist (per conversion point)
Progressive Profiling
Don't ask for everything upfront:
Conversion 1 (TOFU): Email only
Conversion 2 (MOFU): Email + company name
Conversion 3 (BOFU): Full qualification (company size, use case, timeline)
Drop-off Analysis
Diagnosis Framework
For each high-drop stage, test hypotheses:
| Hypothesis Category |
Diagnostic Question |
How to Test |
| Messaging mismatch |
Does the content promise match what they find? |
User interviews, exit surveys |
| Trust gap |
Do visitors believe the claims? |
Social proof A/B, review count |
| Friction |
Is the ask too hard at this stage? |
Form field reduction test |
| Wrong audience |
Are the right people arriving? |
Segment analysis |
| Timing |
Are we asking too soon / too late? |
Behavioral triggers |
Exit Survey Questions
- "What stopped you from [completing action] today?"
- "What would have made you more likely to [action]?"
- "What were you hoping to find that you didn't?"
Funnel Optimization Process
ICE Prioritization for Funnel Tests
| Idea |
Impact (1–10) |
Confidence (1–10) |
Ease (1–10) |
ICE Score |
| Add testimonials to pricing page |
7 |
8 |
9 |
8.0 |
| Simplify trial signup form |
8 |
7 |
7 |
7.3 |
| Add exit-intent popup on blog |
5 |
6 |
8 |
6.3 |
Weekly Funnel Review Cadence
- Pull conversion rates at each stage (vs prior week, vs target)
- Flag any stage with >10% week-over-week decline
- Review top traffic sources by quality (conversion rate, not volume)
- Review top-performing content for each stage
- Assign one experiment per high-drop stage
Multi-Touch Attribution
Attribution Models
| Model |
Logic |
Best For |
| First touch |
100% credit to first touchpoint |
Measuring awareness channels |
| Last touch |
100% credit to converting touchpoint |
Measuring conversion channels |
| Linear |
Equal credit to all touchpoints |
Balanced view |
| Time decay |
More credit to recent touchpoints |
Short sales cycles |
| U-shaped |
40% first, 40% last, 20% middle |
Account-based, high-intent |
| Data-driven |
ML-assigned credit |
Mature data teams |
Attribution Tooling
- Simple: UTM tracking + GA4 + CRM source field
- Mid-market: HubSpot attribution reports, Segment
- Enterprise: Rockerbox, Northbeam, Triple Whale, Ruler Analytics
UTM Standard
utm_source = traffic source (google, linkedin, newsletter)
utm_medium = channel type (cpc, email, social, organic)
utm_campaign = campaign name (q1-launch, brand-awareness)
utm_content = specific ad/link variant (hero-cta, sidebar-link)
utm_term = paid keyword (for search ads)
Full Funnel KPI Dashboard
| Metric |
Formula |
Frequency |
| Traffic by channel |
Sessions per source |
Weekly |
| Lead conversion rate |
Leads / Visitors |
Weekly |
| MQL conversion rate |
MQLs / Leads |
Weekly |
| SQL conversion rate |
SQLs / MQLs |
Weekly |
| Pipeline value |
Open SQLs × avg deal size |
Weekly |
| Win rate |
Closed-won / Total SQLs |
Monthly |
| CAC by channel |
Channel spend / New customers from channel |
Monthly |
| Time to convert |
Avg days first touch → closed |
Monthly |
1---2name: funnel-design3description: When to activate: funnel design, TOFU MOFU BOFU, conversion funnel, marketing funnel, funnel optimization, drop-off analysis, multi-touch attribution, pipeline4---56# Funnel Design78## Funnel Stages910### TOFU / MOFU / BOFU Model11```12TOFU (Top of Funnel) — Awareness13 Goal: Capture attention of people who have the problem14 Content: Blog posts, social, podcasts, videos, SEO15 Metric: Unique visitors, impressions, brand searches1617MOFU (Middle of Funnel) — Consideration18 Goal: Educate and build trust with interested prospects19 Content: Guides, webinars, case studies, comparison pages20 Metric: Lead captures, email subscribers, content downloads2122BOFU (Bottom of Funnel) — Decision23 Goal: Convert ready-to-buy prospects24 Content: Demos, trials, pricing, testimonials, proposals25 Metric: Trials, demos, qualified pipeline, closed-won26```2728### Extended Funnel (with Retention)29```30Awareness → Interest → Consideration → Intent → Purchase → Onboarding → Retention → Advocacy31```3233## Funnel Mapping Process3435### Step 1 — Document Current State36For each stage, answer:371. What is the user trying to accomplish?382. What content/touchpoints exist here?393. What is the conversion rate TO the next stage?404. What is the biggest drop-off reason?4142### Funnel Mapping Template43| Stage | User Goal | Touchpoints | Entry Volume | Exit Volume | Conv Rate | Drop Reason |44|-------|-----------|-------------|--------------|-------------|-----------|-------------|45| Awareness | Understand problem exists | Blog, SEO, ads | 100,000 | 5,000 | 5% | Irrelevant traffic |46| Interest | Learn more | Newsletter, retargeting | 5,000 | 1,500 | 30% | Low email open rate |47| Consideration | Evaluate options | Webinar, case studies | 1,500 | 450 | 30% | Trust gap |48| Intent | Make decision | Trial, demo | 450 | 90 | 20% | Friction in signup |49| Purchase | Buy | Pricing, checkout | 90 | 45 | 50% | Price objection |5051### Step 2 — Identify Biggest Drop-off52```53Leakage = (Stage_In - Stage_Out) × Stage_Value54```55Fix the stage with the highest leakage first — it compounds improvements downstream.5657## Content by Funnel Stage5859### TOFU Content Types60- **SEO blog posts** — target informational keywords61- **Problem-aware social content** — LinkedIn/Twitter threads62- **Podcasts / YouTube** — long-form educational63- **PR / media features** — credibility and reach64- **Paid awareness** — broad targeting, non-conversion objective6566### MOFU Content Types67- **Lead magnets**: checklists, templates, calculators, benchmarks68- **Email nurture sequences**: 5–10 email series educating on problem → solution69- **Webinars**: live demonstration of expertise70- **Case studies**: proof that your solution works71- **Comparison content**: "[Your product] vs [Competitor]" pages7273### BOFU Content Types74- **Free trial / freemium**: self-serve evaluation75- **Live demo / sales call**: human-guided evaluation76- **ROI calculator**: quantify value before purchase77- **Security/compliance docs**: reduce enterprise risk perception78- **Customer references / calls**: peer validation79- **Proposal templates**: accelerate procurement8081## Conversion Points Design8283### Friction Reduction Checklist (per conversion point)84- [ ] Is the ask proportional to where user is in the journey?85- [ ] Is there a lower-friction alternative for users not ready?86- [ ] Is the value exchange clear before the ask?87- [ ] Is the form the minimum viable length?88- [ ] Is there social proof at the point of conversion?89- [ ] Is there a risk reducer (guarantee, no CC, cancel anytime)?9091### Progressive Profiling92Don't ask for everything upfront:93```94Conversion 1 (TOFU): Email only95Conversion 2 (MOFU): Email + company name96Conversion 3 (BOFU): Full qualification (company size, use case, timeline)97```9899## Drop-off Analysis100101### Diagnosis Framework102For each high-drop stage, test hypotheses:103104| Hypothesis Category | Diagnostic Question | How to Test |105|---------------------|---------------------|-------------|106| Messaging mismatch | Does the content promise match what they find? | User interviews, exit surveys |107| Trust gap | Do visitors believe the claims? | Social proof A/B, review count |108| Friction | Is the ask too hard at this stage? | Form field reduction test |109| Wrong audience | Are the right people arriving? | Segment analysis |110| Timing | Are we asking too soon / too late? | Behavioral triggers |111112### Exit Survey Questions113- "What stopped you from [completing action] today?"114- "What would have made you more likely to [action]?"115- "What were you hoping to find that you didn't?"116117## Funnel Optimization Process118119### ICE Prioritization for Funnel Tests120| Idea | Impact (1–10) | Confidence (1–10) | Ease (1–10) | ICE Score |121|------|--------------|-------------------|-------------|-----------|122| Add testimonials to pricing page | 7 | 8 | 9 | 8.0 |123| Simplify trial signup form | 8 | 7 | 7 | 7.3 |124| Add exit-intent popup on blog | 5 | 6 | 8 | 6.3 |125126### Weekly Funnel Review Cadence1271. Pull conversion rates at each stage (vs prior week, vs target)1282. Flag any stage with >10% week-over-week decline1293. Review top traffic sources by quality (conversion rate, not volume)1304. Review top-performing content for each stage1315. Assign one experiment per high-drop stage132133## Multi-Touch Attribution134135### Attribution Models136| Model | Logic | Best For |137|-------|-------|----------|138| First touch | 100% credit to first touchpoint | Measuring awareness channels |139| Last touch | 100% credit to converting touchpoint | Measuring conversion channels |140| Linear | Equal credit to all touchpoints | Balanced view |141| Time decay | More credit to recent touchpoints | Short sales cycles |142| U-shaped | 40% first, 40% last, 20% middle | Account-based, high-intent |143| Data-driven | ML-assigned credit | Mature data teams |144145### Attribution Tooling146- **Simple**: UTM tracking + GA4 + CRM source field147- **Mid-market**: HubSpot attribution reports, Segment148- **Enterprise**: Rockerbox, Northbeam, Triple Whale, Ruler Analytics149150### UTM Standard151```152utm_source = traffic source (google, linkedin, newsletter)153utm_medium = channel type (cpc, email, social, organic)154utm_campaign = campaign name (q1-launch, brand-awareness)155utm_content = specific ad/link variant (hero-cta, sidebar-link)156utm_term = paid keyword (for search ads)157```158159## Full Funnel KPI Dashboard160161| Metric | Formula | Frequency |162|--------|---------|-----------|163| Traffic by channel | Sessions per source | Weekly |164| Lead conversion rate | Leads / Visitors | Weekly |165| MQL conversion rate | MQLs / Leads | Weekly |166| SQL conversion rate | SQLs / MQLs | Weekly |167| Pipeline value | Open SQLs × avg deal size | Weekly |168| Win rate | Closed-won / Total SQLs | Monthly |169| CAC by channel | Channel spend / New customers from channel | Monthly |170| Time to convert | Avg days first touch → closed | Monthly |