The share of your total events impacted by a specific diagnostic issue.
| Metric | Definition |
|---|
| Affected Event Count | Number of events impacted by this diagnostic issue |
| Total Events | Total number of events sent during the period |
| Metadata | |
|---|
| Type | Percentage |
| Data Source | Meta Ads |
| Aggregation | Average |
Example
Your pixel has 3 active diagnostics. Here’s how they affect your events:
| Diagnostic Issue | Affected % | Priority |
|---|
| Missing email hash | 42.3% | High |
| Invalid phone format | 8.7% | Medium |
| Missing external_id | 2.1% | Low |
How It Works
Meta analyzes your event data and flags quality issues that reduce matching accuracy. Affected Events % shows what portion of your total event volume is impacted by each specific issue. Higher percentages indicate issues affecting more of your data.
When to Use
| Scenario | Action |
|---|
| Prioritizing fixes | Address issues with the highest affected % first |
| Measuring fix impact | Compare before/after to confirm resolution |
| Tracking data quality | Monitor trends over time for quality regressions |
| Resource allocation | Focus engineering time on highest-impact issues |
| Metric | Relationship |
|---|
| Affected Event Count | Absolute count of events (this metric shows the percentage) |
| Diagnostics Count | Total number of active diagnostic issues |
| EMQ Score | Overall quality score impacted by these issues |
