A percentile shows the position of a result relative to all others in the comparison set. If a campaign is in the 68th percentile, it performed better than 68% of comparable observations.
If a campaign is in the 68th percentile, it performed better than 68% of comparable observations.
| Field | Detail |
|---|---|
| Definition | A percentile shows the position of a result relative to all others in the comparison set. |
| Why it matters | Percentiles help users understand relative standing, not just an average benchmark gap. |
| Good benchmark context | Percentiles are most helpful when the comparison set is clearly defined by channel, industry, objective, or conversion type. |
Glossary entries should explain where interpretation goes wrong, not just repeat a formula.
| Common mistake |
|---|
| Treating percentile as a raw performance metric instead of a relative rank. |
| Using percentiles from mixed datasets that are not actually comparable. |
| Explaining percentile without identifying the reference group. |
Percentiles help users understand relative standing, not just an average benchmark gap.
If a campaign is in the 68th percentile, it performed better than 68% of comparable observations.
Percentiles are most helpful when the comparison set is clearly defined by channel, industry, objective, or conversion type.
If a campaign is in the 68th percentile, it performed better than 68% of comparable observations.
Percentiles are most helpful when the comparison set is clearly defined by channel, industry, objective, or conversion type.