Peak Intent Score captures the maximum purchase intent observed at any point in a session, revealing the moment of highest buying interest.
Peak Intent Score = MAX ( Intent Score ) per Session
| Metric | Definition |
|---|
| Intent Score | Real-time purchase likelihood score (0-100) |
| MAX per Session | Highest score reached during the session |
| Metadata | |
|---|
| Type | Number |
| Data Source | Upstack Pixel |
| Aggregation | Average |
Example
Sessions reached an average peak intent of 52/100, even though final intent averaged only 34.
| Exit Point | Sessions | Avg. Peak Intent | Final Intent |
|---|
| Checkout | 2,000 | 85 | 78 |
| Cart | 3,000 | 68 | 45 |
| Product Page | 4,000 | 42 | 28 |
| Collection | 3,000 | 25 | 18 |
How It Works
Peak Intent Score tracks the high-water mark of purchase intent during a session. Even if a visitor’s intent drops (e.g., they remove items from cart), the peak captures how close they came to converting. This helps identify “almost buyers.”
When to Use
| Scenario | Action |
|---|
| High peak, low final intent | Investigate cart abandonment causes |
| Retargeting “almost buyers” | Target visitors with high peak scores |
| Checkout friction analysis | Compare peak vs. final at each step |
| Recovery campaign targeting | Focus on high-peak abandoners |
| Metric | Relationship |
|---|
| Intent Score | Current/final intent level |
| Session Score | Overall engagement |
| Avg. Funnel Stage | How far visitors progress |
