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Funnel Analysis Framework
Deep methodology for mapping, analyzing, and optimizing conversion funnels.
Table of Contents
- Funnel Philosophy
- Mapping Your Funnel
- Blocked Arteries
- Missing Links
- Industry Funnel Patterns
- Funnel Prioritization Framework
- Funnel Visualization
- Funnel Optimization Checklist
- Advanced: Multi-Touch Attribution
Funnel Philosophy
A funnel isn't just a visualization—it's a diagnostic tool. Every business has a funnel, whether they've mapped it or not. The question is: where is it leaking?
Core insight: Most businesses focus on the top of the funnel (traffic) when the biggest wins are often in the middle (conversion) or bottom (retention/expansion).
Mapping Your Funnel
The Basic Funnel Structure
Awareness → Interest → Consideration → Intent → Evaluation → Purchase → Retention → Advocacy
Simplified Business Models
E-commerce:
Visit → View Product → Add to Cart → Begin Checkout → Complete Purchase → Repeat Purchase
SaaS:
Visit → Signup → Onboard → Activate → Engage → Convert (Paid) → Retain → Expand
Lead Generation:
Visit → Lead Magnet → MQL → SQL → Opportunity → Close → Upsell
Content/Media:
Visit → Read/View → Subscribe → Engage → Share → Become Regular
Identifying All Steps
List every step a customer takes from first touch to desired outcome:
- Acquisition touchpoints - Where do they first hear about you?
- Engagement actions - What do they do before converting?
- Conversion moments - Where do they make commitments?
- Value realization - When do they get what they came for?
- Expansion opportunities - How do they become more valuable?
Blocked Arteries
A "blocked artery" is a high-traffic path with underperformance—a point where lots of visitors enter but few progress.
How to Find Blocked Arteries
Step 1: Map traffic volume at each stage
Homepage: 10,000 visitors
Product page: 3,000 visitors (30% of traffic)
Add to cart: 600 visitors (20% of product viewers)
Checkout start: 300 visitors (50% of cart adds)
Purchase: 150 visitors (50% of checkout starts)
Step 2: Calculate conversion at each step
Homepage → Product: 30%
Product → Cart: 20% ← Potential blocked artery
Cart → Checkout: 50%
Checkout → Purchase: 50%
Step 3: Compare to benchmarks
| Stage | Your Rate | Industry Benchmark | Opportunity |
|---|---|---|---|
| Home → Product | 30% | 25-35% | On track |
| Product → Cart | 20% | 5-10% | Actually good |
| Cart → Checkout | 50% | 60-70% | Blocked artery |
| Checkout → Purchase | 50% | 70-80% | Blocked artery |
Step 4: Prioritize by impact
Impact = Traffic Volume × Conversion Gap
Cart → Checkout: 600 × (0.65 - 0.50) = 90 potential conversions
Checkout → Purchase: 300 × (0.75 - 0.50) = 75 potential conversions
Common Blocked Arteries
| Location | Typical Causes |
|---|---|
| Homepage → Category | Unclear value proposition, poor navigation |
| Category → Product | Weak product presentation, too many choices |
| Product → Cart | Missing information, price shock, no urgency |
| Cart → Checkout | Unexpected costs, account requirement, trust issues |
| Checkout → Purchase | Form friction, payment options, shipping cost shock |
| Trial → Paid | Poor onboarding, unclear value, wrong timing |
Missing Links
A "missing link" is an absent or underutilized funnel stage that leaves value on the table.
Common Missing Links
Pre-purchase:
- No retargeting for abandoned visitors
- No email capture before purchase intent
- No comparison tools for researchers
- No social proof at decision points
Purchase:
- No upsell/cross-sell offers
- No subscription/bundle options
- No referral program at purchase
- No installation/setup guidance
Post-purchase:
- No email onboarding sequence
- No check-in at key milestones
- No expansion offers at right time
- No advocacy program for happy customers
Missing Link Audit
| Funnel Stage | Existing Assets | Missing Opportunities |
|---|---|---|
| Awareness | Ads, content | Referral program? |
| Interest | Landing pages | Lead magnet? |
| Consideration | Product pages | Comparison tool? |
| Intent | Cart | Save for later? |
| Purchase | Checkout | Order bump? |
| Onboarding | Email 1 | Video tutorial? |
| Retention | None | Check-in sequence? |
| Expansion | None | Usage-based prompts? |
| Advocacy | None | Referral incentive? |
Cross-Sell Mapping
Map products that naturally pair together:
| Product A | Natural Cross-Sell | When to Offer |
|---|---|---|
| Running shoes | Socks, insoles | Cart/checkout |
| SaaS subscription | Premium features | After activation |
| Course | Coaching add-on | During course |
| Software | Training | Post-purchase |
Industry Funnel Patterns
E-commerce Funnels
Standard:
Visit → Browse → Product → Cart → Checkout → Purchase
Enhanced:
Visit → Browse → Product → Wishlist/Email → Retarget → Cart → Checkout → Upsell → Purchase → Post-purchase email → Review request → Repeat purchase
Key metrics:
- Cart abandonment rate (benchmark: 70%)
- Checkout abandonment rate (benchmark: 25%)
- Repeat purchase rate (benchmark: 25-40%)
SaaS Funnels
Standard:
Visit → Trial/Freemium → Activation → Engagement → Conversion
Enhanced:
Visit → Content → Lead magnet → Nurture → Trial → Onboarding → Activation → Engagement → Conversion → Onboarding (paid) → Expansion → Advocacy
Key metrics:
- Trial-to-paid conversion (benchmark: 3-5% freemium, 15-25% free trial)
- Activation rate (varies by product)
- Expansion revenue % (benchmark: 30%+ of revenue)
Lead Generation Funnels
Standard:
Visit → Form → Lead → Sales contact → Opportunity → Close
Enhanced:
Visit → Lead magnet → Nurture → Scorecard/Quiz → MQL → SDR qualify → Demo → SQL → Proposal → Close → Onboarding → Expansion
Key metrics:
- Lead-to-MQL conversion (benchmark: 20-30%)
- MQL-to-SQL conversion (benchmark: 30-50%)
- SQL-to-close rate (benchmark: 20-40%)
Subscription/Membership Funnels
Standard:
Visit → Free content → Subscribe → Retain
Enhanced:
Visit → Free content → Email opt-in → Free trial → Subscribe → Onboard → Engage → Retain → Annual upgrade → Advocacy
Key metrics:
- Free-to-paid conversion (benchmark: 2-5%)
- Monthly churn rate (benchmark: 3-7%)
- Annual vs. monthly mix (benchmark: 30%+ annual)
Funnel Prioritization Framework
Calculate Opportunity Value
For each potential improvement:
Opportunity = (Current Volume) × (Conversion Gap) × (Revenue per Conversion)
Example:
Current: 1,000 visitors, 2% conversion, $100/conversion = $2,000 revenue
Potential: 1,000 visitors, 3% conversion, $100/conversion = $3,000 revenue
Opportunity value: $1,000/month = $12,000/year
Prioritization Matrix
| Opportunity | Volume | Gap | Value | Ease | Priority |
|---|---|---|---|---|---|
| Checkout abandonment | 500/mo | 25% | $125 | Medium | High |
| Add cross-sell | 200/mo | 30% | $20 | Easy | High |
| Reduce form fields | 1000/mo | 10% | $50 | Easy | High |
| Redesign homepage | 5000/mo | 2% | $100 | Hard | Medium |
| Add video | 300/mo | 15% | $100 | Medium | Medium |
The 80/20 Rule in Funnels
Typically:
- 80% of revenue comes from 20% of the funnel stages
- 80% of drop-off happens at 20% of the steps
- 80% of improvement potential is in 20% of the pages
Focus ruthlessly on the high-impact stages before optimizing everything.
Funnel Visualization
Basic Funnel Chart
┌─────────────────────────────────────────┐ 10,000
│ Website Visits │
├───────────────────────────────┐ │ 3,000 (30%)
│ Product Page Views │
├─────────────────────┐ │ │ 600 (20%)
│ Add to Cart │
├───────────────┐ │ │ │ 300 (50%)
│ Checkout │
├─────────┐ │ │ │ │ 150 (50%)
│ Purchase│
└─────────┘
Leakage Analysis
At each stage, map where users go instead:
Product Page (3,000 visitors)
├─→ Add to Cart: 600 (20%)
├─→ Exit site: 1,500 (50%)
├─→ Browse other products: 600 (20%)
├─→ Check reviews/FAQ: 200 (7%)
└─→ Contact support: 100 (3%)
Insight: 50% exit from product page—that's the primary leak to investigate.
Funnel Optimization Checklist
Before Optimizing
- Have you mapped the complete funnel?
- Do you have baseline conversion rates at each stage?
- Have you identified the biggest blocked arteries?
- Have you audited for missing links?
- Do you know your industry benchmarks?
- Have you calculated opportunity values?
During Optimization
- Are you testing bold changes, not tweaks?
- Are you measuring the right metrics?
- Are you waiting for statistical significance?
- Are you documenting learnings?
After Optimization
- Did conversion improve at the target stage?
- Did downstream metrics also improve?
- Did any metrics unexpectedly decrease?
- Can this learning apply to other funnels?
Advanced: Multi-Touch Attribution
The Problem
Customers don't convert in a straight line. They might:
- See a Facebook ad
- Google your brand
- Read a blog post
- Leave
- Get retargeted
- Return via email
- Convert
Which touchpoint gets credit?
Attribution Models
| Model | Description | Best For |
|---|---|---|
| First-touch | First interaction gets 100% | Brand awareness campaigns |
| Last-touch | Final interaction gets 100% | Direct response |
| Linear | Equal credit to all touches | Understanding journey |
| Time-decay | Recent touches get more credit | Short sales cycles |
| Position-based | 40% first, 40% last, 20% middle | Balanced view |
| Data-driven | Algorithm assigns based on data | Sophisticated analysis |
Practical Recommendation
- Start with last-touch (simplest)
- Add first-touch to understand acquisition
- Graduate to position-based for balanced view
- Only use data-driven with sufficient volume
| 1 | # Funnel Analysis Framework |
| 2 | |
| 3 | Deep methodology for mapping, analyzing, and optimizing conversion funnels. |
| 4 | |
| 5 | |
| 6 | ## Table of Contents |
| 7 | [Funnel Philosophy] |
| 8 | [Mapping Your Funnel] |
| 9 | [Blocked Arteries] |
| 10 | [Missing Links] |
| 11 | [Industry Funnel Patterns] |
| 12 | [Funnel Prioritization Framework] |
| 13 | [Funnel Visualization] |
| 14 | [Funnel Optimization Checklist] |
| 15 | [Advanced: Multi-Touch Attribution] |
| 16 | |
| 17 | |
| 18 | |
| 19 | ## Funnel Philosophy |
| 20 | |
| 21 | A funnel isn't just a visualization—it's a diagnostic tool. Every business has a funnel, whether they've mapped it or not. The question is: where is it leaking? |
| 22 | |
| 23 | **Core insight:** Most businesses focus on the top of the funnel (traffic) when the biggest wins are often in the middle (conversion) or bottom (retention/expansion). |
| 24 | |
| 25 | |
| 26 | |
| 27 | ## Mapping Your Funnel |
| 28 | |
| 29 | ### The Basic Funnel Structure |
| 30 | |
| 31 | |
| 32 | Awareness → Interest → Consideration → Intent → Evaluation → Purchase → Retention → Advocacy |
| 33 | |
| 34 | |
| 35 | ### Simplified Business Models |
| 36 | |
| 37 | **E-commerce:** |
| 38 | |
| 39 | Visit → View Product → Add to Cart → Begin Checkout → Complete Purchase → Repeat Purchase |
| 40 | |
| 41 | |
| 42 | **SaaS:** |
| 43 | |
| 44 | Visit → Signup → Onboard → Activate → Engage → Convert (Paid) → Retain → Expand |
| 45 | |
| 46 | |
| 47 | **Lead Generation:** |
| 48 | |
| 49 | Visit → Lead Magnet → MQL → SQL → Opportunity → Close → Upsell |
| 50 | |
| 51 | |
| 52 | **Content/Media:** |
| 53 | |
| 54 | Visit → Read/View → Subscribe → Engage → Share → Become Regular |
| 55 | |
| 56 | |
| 57 | ### Identifying All Steps |
| 58 | |
| 59 | List every step a customer takes from first touch to desired outcome: |
| 60 | |
| 61 | **Acquisition touchpoints** - Where do they first hear about you? |
| 62 | **Engagement actions** - What do they do before converting? |
| 63 | **Conversion moments** - Where do they make commitments? |
| 64 | **Value realization** - When do they get what they came for? |
| 65 | **Expansion opportunities** - How do they become more valuable? |
| 66 | |
| 67 | |
| 68 | |
| 69 | ## Blocked Arteries |
| 70 | |
| 71 | A "blocked artery" is a high-traffic path with underperformance—a point where lots of visitors enter but few progress. |
| 72 | |
| 73 | ### How to Find Blocked Arteries |
| 74 | |
| 75 | **Step 1: Map traffic volume at each stage** |
| 76 | |
| 77 | |
| 78 | Homepage: 10,000 visitors |
| 79 | Product page: 3,000 visitors (30% of traffic) |
| 80 | Add to cart: 600 visitors (20% of product viewers) |
| 81 | Checkout start: 300 visitors (50% of cart adds) |
| 82 | Purchase: 150 visitors (50% of checkout starts) |
| 83 | |
| 84 | |
| 85 | **Step 2: Calculate conversion at each step** |
| 86 | |
| 87 | |
| 88 | Homepage → Product: 30% |
| 89 | Product → Cart: 20% ← Potential blocked artery |
| 90 | Cart → Checkout: 50% |
| 91 | Checkout → Purchase: 50% |
| 92 | |
| 93 | |
| 94 | **Step 3: Compare to benchmarks** |
| 95 | |
| 96 | | Stage | Your Rate | Industry Benchmark | Opportunity | |
| 97 | |-------|-----------|-------------------|-------------| |
| 98 | | Home → Product | 30% | 25-35% | On track | |
| 99 | | Product → Cart | 20% | 5-10% | Actually good | |
| 100 | | Cart → Checkout | 50% | 60-70% | **Blocked artery** | |
| 101 | | Checkout → Purchase | 50% | 70-80% | **Blocked artery** | |
| 102 | |
| 103 | **Step 4: Prioritize by impact** |
| 104 | |
| 105 | Impact = Traffic Volume × Conversion Gap |
| 106 | |
| 107 | |
| 108 | Cart → Checkout: 600 × (0.65 - 0.50) = 90 potential conversions |
| 109 | Checkout → Purchase: 300 × (0.75 - 0.50) = 75 potential conversions |
| 110 | |
| 111 | |
| 112 | ### Common Blocked Arteries |
| 113 | |
| 114 | | Location | Typical Causes | |
| 115 | |----------|----------------| |
| 116 | | Homepage → Category | Unclear value proposition, poor navigation | |
| 117 | | Category → Product | Weak product presentation, too many choices | |
| 118 | | Product → Cart | Missing information, price shock, no urgency | |
| 119 | | Cart → Checkout | Unexpected costs, account requirement, trust issues | |
| 120 | | Checkout → Purchase | Form friction, payment options, shipping cost shock | |
| 121 | | Trial → Paid | Poor onboarding, unclear value, wrong timing | |
| 122 | |
| 123 | |
| 124 | |
| 125 | ## Missing Links |
| 126 | |
| 127 | A "missing link" is an absent or underutilized funnel stage that leaves value on the table. |
| 128 | |
| 129 | ### Common Missing Links |
| 130 | |
| 131 | **Pre-purchase:** |
| 132 | No retargeting for abandoned visitors |
| 133 | No email capture before purchase intent |
| 134 | No comparison tools for researchers |
| 135 | No social proof at decision points |
| 136 | |
| 137 | **Purchase:** |
| 138 | No upsell/cross-sell offers |
| 139 | No subscription/bundle options |
| 140 | No referral program at purchase |
| 141 | No installation/setup guidance |
| 142 | |
| 143 | **Post-purchase:** |
| 144 | No email onboarding sequence |
| 145 | No check-in at key milestones |
| 146 | No expansion offers at right time |
| 147 | No advocacy program for happy customers |
| 148 | |
| 149 | ### Missing Link Audit |
| 150 | |
| 151 | | Funnel Stage | Existing Assets | Missing Opportunities | |
| 152 | |--------------|-----------------|----------------------| |
| 153 | | Awareness | Ads, content | Referral program? | |
| 154 | | Interest | Landing pages | Lead magnet? | |
| 155 | | Consideration | Product pages | Comparison tool? | |
| 156 | | Intent | Cart | Save for later? | |
| 157 | | Purchase | Checkout | Order bump? | |
| 158 | | Onboarding | Email 1 | Video tutorial? | |
| 159 | | Retention | None | Check-in sequence? | |
| 160 | | Expansion | None | Usage-based prompts? | |
| 161 | | Advocacy | None | Referral incentive? | |
| 162 | |
| 163 | ### Cross-Sell Mapping |
| 164 | |
| 165 | Map products that naturally pair together: |
| 166 | |
| 167 | | Product A | Natural Cross-Sell | When to Offer | |
| 168 | |-----------|-------------------|---------------| |
| 169 | | Running shoes | Socks, insoles | Cart/checkout | |
| 170 | | SaaS subscription | Premium features | After activation | |
| 171 | | Course | Coaching add-on | During course | |
| 172 | | Software | Training | Post-purchase | |
| 173 | |
| 174 | |
| 175 | |
| 176 | ## Industry Funnel Patterns |
| 177 | |
| 178 | ### E-commerce Funnels |
| 179 | |
| 180 | **Standard:** |
| 181 | |
| 182 | Visit → Browse → Product → Cart → Checkout → Purchase |
| 183 | |
| 184 | |
| 185 | **Enhanced:** |
| 186 | |
| 187 | Visit → Browse → Product → Wishlist/Email → Retarget → Cart → Checkout → Upsell → Purchase → Post-purchase email → Review request → Repeat purchase |
| 188 | |
| 189 | |
| 190 | **Key metrics:** |
| 191 | Cart abandonment rate (benchmark: 70%) |
| 192 | Checkout abandonment rate (benchmark: 25%) |
| 193 | Repeat purchase rate (benchmark: 25-40%) |
| 194 | |
| 195 | ### SaaS Funnels |
| 196 | |
| 197 | **Standard:** |
| 198 | |
| 199 | Visit → Trial/Freemium → Activation → Engagement → Conversion |
| 200 | |
| 201 | |
| 202 | **Enhanced:** |
| 203 | |
| 204 | Visit → Content → Lead magnet → Nurture → Trial → Onboarding → Activation → Engagement → Conversion → Onboarding (paid) → Expansion → Advocacy |
| 205 | |
| 206 | |
| 207 | **Key metrics:** |
| 208 | Trial-to-paid conversion (benchmark: 3-5% freemium, 15-25% free trial) |
| 209 | Activation rate (varies by product) |
| 210 | Expansion revenue % (benchmark: 30%+ of revenue) |
| 211 | |
| 212 | ### Lead Generation Funnels |
| 213 | |
| 214 | **Standard:** |
| 215 | |
| 216 | Visit → Form → Lead → Sales contact → Opportunity → Close |
| 217 | |
| 218 | |
| 219 | **Enhanced:** |
| 220 | |
| 221 | Visit → Lead magnet → Nurture → Scorecard/Quiz → MQL → SDR qualify → Demo → SQL → Proposal → Close → Onboarding → Expansion |
| 222 | |
| 223 | |
| 224 | **Key metrics:** |
| 225 | Lead-to-MQL conversion (benchmark: 20-30%) |
| 226 | MQL-to-SQL conversion (benchmark: 30-50%) |
| 227 | SQL-to-close rate (benchmark: 20-40%) |
| 228 | |
| 229 | ### Subscription/Membership Funnels |
| 230 | |
| 231 | **Standard:** |
| 232 | |
| 233 | Visit → Free content → Subscribe → Retain |
| 234 | |
| 235 | |
| 236 | **Enhanced:** |
| 237 | |
| 238 | Visit → Free content → Email opt-in → Free trial → Subscribe → Onboard → Engage → Retain → Annual upgrade → Advocacy |
| 239 | |
| 240 | |
| 241 | **Key metrics:** |
| 242 | Free-to-paid conversion (benchmark: 2-5%) |
| 243 | Monthly churn rate (benchmark: 3-7%) |
| 244 | Annual vs. monthly mix (benchmark: 30%+ annual) |
| 245 | |
| 246 | |
| 247 | |
| 248 | ## Funnel Prioritization Framework |
| 249 | |
| 250 | ### Calculate Opportunity Value |
| 251 | |
| 252 | For each potential improvement: |
| 253 | |
| 254 | |
| 255 | Opportunity = (Current Volume) × (Conversion Gap) × (Revenue per Conversion) |
| 256 | |
| 257 | |
| 258 | **Example:** |
| 259 | |
| 260 | Current: 1,000 visitors, 2% conversion, $100/conversion = $2,000 revenue |
| 261 | Potential: 1,000 visitors, 3% conversion, $100/conversion = $3,000 revenue |
| 262 | Opportunity value: $1,000/month = $12,000/year |
| 263 | |
| 264 | |
| 265 | ### Prioritization Matrix |
| 266 | |
| 267 | | Opportunity | Volume | Gap | Value | Ease | Priority | |
| 268 | |-------------|--------|-----|-------|------|----------| |
| 269 | | Checkout abandonment | 500/mo | 25% | $125 | Medium | High | |
| 270 | | Add cross-sell | 200/mo | 30% | $20 | Easy | High | |
| 271 | | Reduce form fields | 1000/mo | 10% | $50 | Easy | High | |
| 272 | | Redesign homepage | 5000/mo | 2% | $100 | Hard | Medium | |
| 273 | | Add video | 300/mo | 15% | $100 | Medium | Medium | |
| 274 | |
| 275 | ### The 80/20 Rule in Funnels |
| 276 | |
| 277 | Typically: |
| 278 | 80% of revenue comes from 20% of the funnel stages |
| 279 | 80% of drop-off happens at 20% of the steps |
| 280 | 80% of improvement potential is in 20% of the pages |
| 281 | |
| 282 | **Focus ruthlessly on the high-impact stages before optimizing everything.** |
| 283 | |
| 284 | |
| 285 | |
| 286 | ## Funnel Visualization |
| 287 | |
| 288 | ### Basic Funnel Chart |
| 289 | |
| 290 | |
| 291 | ┌─────────────────────────────────────────┐ 10,000 |
| 292 | │ Website Visits │ |
| 293 | ├───────────────────────────────┐ │ 3,000 (30%) |
| 294 | │ Product Page Views │ |
| 295 | ├─────────────────────┐ │ │ 600 (20%) |
| 296 | │ Add to Cart │ |
| 297 | ├───────────────┐ │ │ │ 300 (50%) |
| 298 | │ Checkout │ |
| 299 | ├─────────┐ │ │ │ │ 150 (50%) |
| 300 | │ Purchase│ |
| 301 | └─────────┘ |
| 302 | |
| 303 | |
| 304 | ### Leakage Analysis |
| 305 | |
| 306 | At each stage, map where users go instead: |
| 307 | |
| 308 | |
| 309 | Product Page (3,000 visitors) |
| 310 | ├─→ Add to Cart: 600 (20%) |
| 311 | ├─→ Exit site: 1,500 (50%) |
| 312 | ├─→ Browse other products: 600 (20%) |
| 313 | ├─→ Check reviews/FAQ: 200 (7%) |
| 314 | └─→ Contact support: 100 (3%) |
| 315 | |
| 316 | |
| 317 | **Insight:** 50% exit from product page—that's the primary leak to investigate. |
| 318 | |
| 319 | |
| 320 | |
| 321 | ## Funnel Optimization Checklist |
| 322 | |
| 323 | ### Before Optimizing |
| 324 | |
| 325 | [ ] Have you mapped the complete funnel? |
| 326 | [ ] Do you have baseline conversion rates at each stage? |
| 327 | [ ] Have you identified the biggest blocked arteries? |
| 328 | [ ] Have you audited for missing links? |
| 329 | [ ] Do you know your industry benchmarks? |
| 330 | [ ] Have you calculated opportunity values? |
| 331 | |
| 332 | ### During Optimization |
| 333 | |
| 334 | [ ] Are you testing bold changes, not tweaks? |
| 335 | [ ] Are you measuring the right metrics? |
| 336 | [ ] Are you waiting for statistical significance? |
| 337 | [ ] Are you documenting learnings? |
| 338 | |
| 339 | ### After Optimization |
| 340 | |
| 341 | [ ] Did conversion improve at the target stage? |
| 342 | [ ] Did downstream metrics also improve? |
| 343 | [ ] Did any metrics unexpectedly decrease? |
| 344 | [ ] Can this learning apply to other funnels? |
| 345 | |
| 346 | |
| 347 | |
| 348 | ## Advanced: Multi-Touch Attribution |
| 349 | |
| 350 | ### The Problem |
| 351 | |
| 352 | Customers don't convert in a straight line. They might: |
| 353 | See a Facebook ad |
| 354 | Google your brand |
| 355 | Read a blog post |
| 356 | Leave |
| 357 | Get retargeted |
| 358 | Return via email |
| 359 | Convert |
| 360 | |
| 361 | Which touchpoint gets credit? |
| 362 | |
| 363 | ### Attribution Models |
| 364 | |
| 365 | | Model | Description | Best For | |
| 366 | |-------|-------------|----------| |
| 367 | | First-touch | First interaction gets 100% | Brand awareness campaigns | |
| 368 | | Last-touch | Final interaction gets 100% | Direct response | |
| 369 | | Linear | Equal credit to all touches | Understanding journey | |
| 370 | | Time-decay | Recent touches get more credit | Short sales cycles | |
| 371 | | Position-based | 40% first, 40% last, 20% middle | Balanced view | |
| 372 | | Data-driven | Algorithm assigns based on data | Sophisticated analysis | |
| 373 | |
| 374 | ### Practical Recommendation |
| 375 | |
| 376 | Start with last-touch (simplest) |
| 377 | Add first-touch to understand acquisition |
| 378 | Graduate to position-based for balanced view |
| 379 | Only use data-driven with sufficient volume |
| 380 |
Discussion
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