Scores
View and configure risk scoring
Scores
The Scores section provides visibility into how transactions are evaluated for fraud risk. View risk score distributions, understand scoring factors, and configure thresholds for your business.
Understanding Risk Scores
Every transaction receives a risk score from 0-100:
| Score Range | Level | Interpretation |
|---|---|---|
| 0-30 | Low | Likely legitimate |
| 31-60 | Medium | Some risk factors present |
| 61-80 | High | Elevated risk, review recommended |
| 81-100 | Critical | High probability of fraud |
Score Dashboard
Distribution Chart
View how your transactions are distributed across risk levels:
- Percentage in each risk tier
- Trends over time
- Comparison to previous periods
Score Metrics
| Metric | Description |
|---|---|
| Average score | Mean risk score across transactions |
| Median score | Middle value of all scores |
| High-risk % | Percentage of transactions scoring 60+ |
| Review rate | Percentage sent to manual review |
Scoring Factors
Risk scores are calculated from multiple factors:
Customer Factors
| Factor | Impact |
|---|---|
| New customer | Increases score |
| Verified email | Decreases score |
| Transaction history | Decreases score with good history |
| Chargeback history | Significantly increases score |
Transaction Factors
| Factor | Impact |
|---|---|
| Amount | Higher amounts increase score |
| Payment method | Varies by method risk profile |
| Time of day | Unusual hours increase score |
| Velocity | Multiple transactions increase score |
Device/Location Factors
| Factor | Impact |
|---|---|
| Location | High-risk regions increase score |
| IP reputation | Known bad IPs increase score |
| Device fingerprint | Linked to fraud increases score |
| VPN/Proxy | Anonymizers increase score |
Card Factors
| Factor | Impact |
|---|---|
| BIN reputation | High-fraud BINs increase score |
| AVS match | Mismatch increases score |
| CVV check | Failure increases score |
| Card country | Cross-border increases score |
Score Configuration
Threshold Settings
Configure how scores trigger actions:
| Threshold | Action |
|---|---|
| Review threshold | Score above this sends to review |
| Auto-reject threshold | Score above this auto-rejects |
| Auto-approve ceiling | Score below this auto-approves |
Example Configuration
Auto-approve: Score < 25
Manual review: Score 25-75
Auto-reject: Score > 75
Score History
Transaction Scores
View historical scores:
| Column | Description |
|---|---|
| Transaction ID | Payment reference |
| Date | Transaction date |
| Score | Risk score |
| Level | Risk tier |
| Action | Approved/Reviewed/Rejected |
Filtering
Filter score history by:
- Date range
- Score range
- Risk level
- Action taken
- Payment method
Score Analytics
Trend Analysis
Track score patterns over time:
- Daily average scores
- Weekly distribution changes
- Seasonal patterns
- Score spikes (potential attacks)
Conversion Impact
Understand how scoring affects your business:
| Metric | Description |
|---|---|
| Approval rate | % of transactions approved |
| Review rate | % sent to manual review |
| Rejection rate | % automatically rejected |
| False positive rate | Legitimate orders rejected |
Optimizing Scores
Reducing False Positives
If too many good transactions are flagged:
- Review rejected transactions
- Identify patterns of legitimate orders
- Adjust thresholds upward
- Add exceptions for trusted patterns
Catching More Fraud
If fraud is getting through:
- Review chargebacks and fraud cases
- Identify missed risk factors
- Lower thresholds
- Add custom rules for patterns
Best Practices
| Practice | Recommendation |
|---|---|
| Monitor regularly | Check score distributions weekly |
| Adjust gradually | Make small threshold changes |
| Balance accuracy | Don't sacrifice customers for security |
| Review edge cases | Learn from borderline scores |
| Document changes | Track threshold modifications |
Feel free to reach out to [email protected] if you have questions about risk scoring!
Updated about 15 hours ago
