Attribution helps you understand what drives conversions. Learn which traffic sources, campaigns, and touchpoints deserve credit.
What Is Attribution?
Attribution assigns credit for conversions:
User Journey:
Google Ad → Blog Post → Direct Visit → Purchase
Which touchpoint gets credit?
Why Attribution Matters
Without attribution, you can't know:
- Which marketing works
- Where to invest budget
- What content converts
- Which campaigns succeed
Attribution Models
Last Touch (Default)
Credit goes to the final touchpoint:
| Journey | Credited Source |
|---|---|
| Google → Facebook → Direct | Direct |
| Organic → Email → Purchase |
Best for:
- Simple analysis
- Direct response campaigns
- Immediate conversions
First Touch
Credit goes to the first touchpoint:
| Journey | Credited Source |
|---|---|
| Google → Facebook → Direct | |
| Organic → Email → Purchase | Organic |
Best for:
- Understanding discovery
- Awareness campaigns
- Brand measurement
Linear
Credit split equally:
| Journey | Credit Distribution |
|---|---|
| Google → Facebook → Direct | 33% each |
| Organic → Email → Purchase | 50% each |
Best for:
- Valuing all touchpoints
- Long consideration cycles
- Multiple campaign types
Time Decay
Recent touchpoints get more credit:
| Journey | Credit Distribution |
|---|---|
| Google → Facebook → Direct | 15% / 30% / 55% |
Best for:
- Long sales cycles
- Many touchpoints
- Recency importance
Position Based (U-Shaped)
Scale PlanFirst and last get most credit:
| Journey | Credit Distribution |
|---|---|
| Google → Facebook → Direct | 40% / 20% / 40% |
Best for:
- Valuing discovery and conversion
- B2B marketing
- Balanced view
Viewing Attribution
Attribution Report
Go to Analytics → Attribution:
| Source | Last Touch | First Touch | Linear |
|---|---|---|---|
| Google Ads | 45 | 62 | 52 |
| Organic | 38 | 45 | 40 |
| Direct | 52 | 18 | 35 |
| 30 | 8 | 22 |
Insights from Comparison
From above:
- Google Ads drives discovery (First > Last)
- Direct closes sales (Last > First)
- Email nurtures (Linear balanced)
Changing Models
- Open Attribution report
- Select attribution model
- View updated credit
Attribution Window
What Is the Window?
Time period for crediting sources:
Attribution window: 30 days
Day 1: Google click
Day 15: Facebook click
Day 20: Purchase → Both credited (within window)
Day 1: Google click
Day 45: Purchase → Not credited (outside window)
Window Options
| Window | Use Case |
|---|---|
| 7 days | Quick purchases |
| 14 days | Standard e-commerce |
| 30 days | Considered purchases |
| 60 days | B2B, high-value |
| 90 days | Enterprise sales |
Choosing a Window
Consider:
- Typical time to purchase
- Industry norms
- Customer behavior data
- Average deal value
Source Attribution
Traffic Sources
See goal credit by source:
| Source | Conversions | Rate | Value |
|---|---|---|---|
| Organic Search | 150 | 3.2% | $15,000 |
| Google Ads | 120 | 4.1% | $12,000 |
| 85 | 2.8% | $8,500 | |
| 95 | 5.2% | $9,500 | |
| Direct | 200 | 1.5% | $20,000 |
Key Metrics
| Metric | Description |
|---|---|
| Conversions | Total credited goals |
| Conversion Rate | Conversions / Sessions |
| Value | Total goal value |
| Cost per Conversion | Ad spend / Conversions |
Source Drill-Down
Click any source to see:
- Specific campaigns
- Keywords (for search)
- Individual referrers
- Landing pages
Campaign Attribution
Campaign Tracking
Use UTM parameters:
yousite.com/?utm_source=facebook
&utm_medium=cpc
&utm_campaign=spring_sale
&utm_content=ad_variation_1
Campaign Report
| Campaign | Conversions | Value | Cost | ROAS |
|---|---|---|---|---|
| Spring Sale | 85 | $8,500 | $2,000 | 4.25x |
| New Product | 62 | $6,200 | $1,800 | 3.44x |
| Retargeting | 120 | $12,000 | $1,500 | 8.00x |
Multi-Campaign Journeys
Scale PlanSee campaign paths:
Campaign A → Campaign B → Conversion
Page Attribution
Landing Page Performance
Which landing pages convert:
| Landing Page | Visitors | Conversions | Rate |
|---|---|---|---|
| /pricing | 5,000 | 250 | 5.0% |
| /features | 8,000 | 200 | 2.5% |
| /blog/post-1 | 12,000 | 120 | 1.0% |
Content Attribution
See content that assists conversion:
| Content | Assists | Conversions |
|---|---|---|
| /blog/guide | 450 | 30 |
| /case-studies | 280 | 85 |
| /pricing | 120 | 250 |
Assisted Conversions
Content that helps but isn't last touch:
- Blog posts that educate
- Comparison pages
- FAQ content
Goal-Specific Attribution
By Goal Type
Compare attribution by goal:
| Goal | Top Source (Last) | Top Source (First) |
|---|---|---|
| Purchase | Direct | Google Ads |
| Sign Up | Organic | Blog |
| Demo |
Goal Value Distribution
| Source | Leads (Low) | Sales (High) |
|---|---|---|
| Organic | 60% | 25% |
| Paid | 25% | 50% |
| Direct | 15% | 25% |
Multi-Touch Journeys
Scale PlanViewing Full Journeys
See complete paths to conversion:
Journey 1: Google → Blog → Pricing → Direct → Purchase
Journey 2: Facebook → Home → Exit → Retarget → Purchase
Journey 3: Email → Pricing → Purchase
Common Patterns
Identify winning patterns:
- Shortest paths
- Most common paths
- Highest value paths
Path Length Analysis
| Path Length | % of Conversions |
|---|---|
| 1 touchpoint | 35% |
| 2 touchpoints | 28% |
| 3-4 touchpoints | 25% |
| 5+ touchpoints | 12% |
Optimization with Attribution
Budget Allocation
Use attribution to allocate spend:
| Source | Current Spend | Attributed Value | Action |
|---|---|---|---|
| $5,000 | $15,000 | Increase | |
| $4,000 | $4,000 | Review | |
| Display | $3,000 | $1,500 | Reduce |
Campaign Optimization
Based on attribution:
- Double down on high performers
- Fix or kill low performers
- Test new similar campaigns
Content Strategy
Based on content attribution:
- Create more converting content types
- Improve high-traffic, low-conversion
- Promote high-value content
Troubleshooting Attribution
Missing Attribution
If sources show as "Direct":
- UTM parameters missing
- Referrer stripped
- Private browsing
- App traffic
Inconsistent Data
If numbers don't match:
- Check attribution window
- Verify goal tracking
- Compare models fairly
Low Touch Points
If paths are short:
- Consider shorter window
- Check cross-device
- May be normal for product
Best Practices
Use Consistent UTMs
Standardize tagging:
- Document UTM conventions
- Use a UTM builder
- Audit regularly
Compare Models
Don't rely on one model:
- View multiple perspectives
- Understand each model's bias
- Make informed decisions
Consider the Customer
Match model to customer:
- Quick purchases → Last touch
- Research heavy → Linear or position
- Long cycles → Time decay