Multi-Touch Attribution for CTV Campaigns
How multi-touch attribution works for CTV. Understanding the customer journey across channels.
Last-click attribution gives CTV zero credit. Multi-touch attribution reveals CTV's actual contribution. Understanding attribution models is essential for measuring CTV accurately.
The Last-Click Problem
1
CTV Exposure
Customer sees your CTV ad while streaming their favorite show.
2
Brand Search
Days later, customer searches your firm name on Google.
3
Click & Convert
Customer clicks your Google ad and fills out the form.
4
Wrong Credit
Under last-click: Google Ads gets 100%, CTV gets 0%.
This is obviously wrong. CTV drove the search. But last-click can't see that.
How Multi-Touch Attribution Works
Multi-touch models distribute credit across touchpoints:
| Model | How Credit Is Assigned |
|---|---|
| Last-click | 100% to final touchpoint |
| First-click | 100% to first touchpoint |
| Linear | Equal credit to all touchpoints |
| Time-decay | More credit to recent touchpoints |
| Position-based | 40% first, 40% last, 20% middle |
| Data-driven | Algorithmic based on actual conversion patterns |
Linear Attribution Example
Journey: CTV → Organic search → Paid search → Conversion
- CTV: 33.3%
- Organic: 33.3%
- Paid search: 33.3%
Position-Based Example
Same journey:
- CTV: 40% (first touch)
- Organic: 20% (middle)
- Paid search: 40% (last touch)
Time-Decay Example
- CTV: 15% (earliest)
- Organic: 25%
- Paid search: 60% (most recent)
Why Multi-Touch Matters for CTV
CTV is almost always an upper-funnel touchpoint. It creates awareness that other channels capture. Under last-click:
- CTV looks like it generates zero leads
- Budget gets cut
- Performance actually declines (because CTV was driving search)
With multi-touch attribution:
- CTV's contribution is visible
- Budget decisions are informed
- System optimization becomes possible
CTV accounted for 38% of impressions but 63% of conversions when proper attribution was applied.
Choosing an Attribution Model
✅ Recommended
Position-based: 40% first, 40% last, 20% middle
Data-driven: Algorithmic based on patterns
Linear: Equal credit to all touchpoints
❌ Avoid
Last-click: Gives CTV zero credit
First-click: Over-credits CTV, under-credits conversion
Any model ignoring upper-funnel
Position-based gives appropriate credit to CTV as the awareness driver while still crediting conversion channels.
Implementing Multi-Touch Attribution
Option 1: Platform-Native
Many CTV platforms include attribution:
- MNTN tracks verified visits through conversion
- Tatari provides multi-touch models
- Some integrate with GA4
Option 2: Third-Party Attribution
Dedicated attribution platforms:
- Rockerbox
- Measured
- Northbeam
- Triple Whale
These aggregate data across channels for unified attribution.
Option 3: GA4 Attribution
Google Analytics 4 offers:
- Data-driven attribution (default)
- Multiple model comparison
- Cross-channel visibility
Requires proper UTM tagging and integration.
Attribution Windows for CTV
How long should CTV get credit?
| Scenario | Recommended Window |
|---|---|
| Direct response | 7-14 days |
| Consideration purchase | 14-21 days |
| Legal services | 14-30 days |
| High-value services | 21-30 days |
PI legal services are consideration purchases. Someone sees your ad, has an accident weeks later, then searches for you. Attribution windows need to capture this.
Cross-Device Attribution
CTV plays on TVs. Conversions happen on phones and computers.
The challenge:
- Ad seen on living room TV
- Search happens on phone
- Form filled on laptop
- How do you connect them?
Solutions:
- Household-level matching (same IP)
- Device graphs (probabilistic matching)
- Login-based matching (deterministic)
Platform match rates of 90%+ make cross-device attribution increasingly reliable.
Reading Attribution Reports
Key Metrics to Track
Assisted conversions: Conversions where CTV was in the path but not the last touch
Conversion paths: Common journeys (CTV → Search → Conversion)
Attribution credit by channel: How credit distributes across your mix
Model comparison: How credit shifts between models
What Good Looks Like
| Metric | Healthy Sign |
|---|---|
| CTV assisted conversions | Growing with spend |
| CTV → branded search paths | Common pattern |
| CTV attribution credit | 15-30% of conversions |
| Model variance | CTV credit higher in position-based than last-click |
Common Attribution Mistakes
❌ Mistakes to Avoid
Using only last-click—cuts CTV because it 'doesn't convert directly'
Over-crediting CTV—first-click or long windows inflate CTV credit
Ignoring offline—phone calls matter for law firms, missing them misses conversions
Not testing models—large differences between models suggest measurement issues
Attribution and Budget Decisions
Attribution informs but doesn't dictate:
What attribution tells you:
- Relative channel contribution
- Journey patterns
- Where to investigate
What attribution doesn't tell you:
- Absolute ROI
- Optimal budget levels
- Creative quality impact
Use attribution as input to decisions, not as the decision.
For complete measurement strategy, see the CTV attribution guide.
References
- Decentriq. (2025). CTV advertising: The complete guide. https://www.decentriq.com/article/ctv-advertising
- Nielsen. (2025). Connected TV: Transforming advertising trends. https://www.nielsen.com/insights/2025/connected-tv-transforming-advertising-trends/
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