The attribution window defines how far back TrustData looks for touchpoints that contributed to a conversion.
When a user converts, TrustData asks: "Which touchpoints in the past X days should get credit?"
|-------- 30-day window --------|
Day 1 Day 15 Day 25 Day 30
Google Meta Email Purchase
click click click ✓
✓ ✓ ✓
↑ ↑ ↑
All three get credit
If the window was 7 days:
|-- 7-day window --|
Day 25 Day 30
Email Purchase
click ✓
✓
↑
Only email gets credit
| Window Type | Default | Use Case |
|---|---|---|
| Click-through | 30 days | Standard e-commerce |
| View-through | Disabled | Optional awareness tracking |
Best for:
Example: A $20 t-shirt purchase likely decided within days.
Best for:
Example: Standard attribution window, balances recency with journey length.
Best for:
Example: A $10,000 software purchase may have a months-long evaluation.
| Industry | Typical Window |
|---|---|
| Fashion/Apparel | 7-14 days |
| Consumer Electronics | 14-30 days |
| Home & Garden | 30-60 days |
| B2B Software | 60-90 days |
| Automotive | 90 days |
| Travel | 30-45 days |
Longer windows mean:
| Platform | Default Click Window | View Window |
|---|---|---|
| Google Ads | 30 days | 1 day |
| Meta Ads | 7 days | 1 day |
| TikTok Ads | 7 days | 1 day |
TrustData can use different windows than ad platforms. This explains some reporting differences.
View-through credits impressions (ad views without clicks).
If enabling view-through:
Attribution windows apply per-user, not per-device:
Device A: Day 1 - Google click
Device B: Day 15 - Direct visit
Device B: Day 20 - Purchase
If user identified on both devices:
→ Google click (Day 1) gets credit
If user NOT identified:
→ Google click NOT credited (appears as different user)
Recommendation: Encourage login/identification to improve cross-device attribution.
TrustData lets you compare attribution under different windows:
This helps understand how window choice affects channel credit.