Coverage Potential ACR shows how much your attributed conversion rate could improve if you increase event coverage to the recommended goal.
Coverage Potential ACR = Coverage Gap × ACR Improvement Factor
| Metric | Definition |
|---|
| Coverage Gap | Event Coverage Goal − Event Coverage |
| ACR Improvement Factor | Meta’s estimated conversion rate gain per coverage percentage point |
| Metadata | |
|---|
| Type | Percentage |
| Data Source | Meta Ads |
| Aggregation | Average |
Example
Your store currently has 72% event coverage but Meta recommends 95% for optimal matching. Coverage Potential ACR shows +4.8%.
| Current State | Value | Impact |
|---|
| Event Coverage | 72% | Below goal |
| Coverage Goal | 95% | Meta recommended |
| Coverage Potential ACR | +4.8% | Potential ACR improvement |
How It Works
Meta calculates how much additional conversion attribution you could gain by closing the gap between your current event coverage and the recommended goal. This improvement comes from more events having valid customer identifiers that Meta can match to ad interactions.
When to Use
| Scenario | Action |
|---|
| Prioritizing EMQ improvements | Focus on coverage if potential ACR gain is high |
| Comparing improvement opportunities | Weigh coverage gains against match key fixes |
| Building the business case | Quantify revenue impact of better event coverage |
| Tracking progress | Monitor potential ACR decrease as coverage improves |
| Metric | Relationship |
|---|
| ACR Percentage | Current attributed conversion rate this could improve |
| Event Coverage | Current coverage percentage to increase |
| Event Coverage Goal | Target coverage to achieve full potential |
