Percentiles help marketers understand where they stand in the landscape, not just what the average looks like.
A percentile tells you where a result sits relative to a comparison set. It does not tell you the absolute size of the gap by itself.
| Point | Detail |
|---|---|
| Percentiles are rank, not raw performance | A 70th-percentile campaign performed better than 70% of comparable observations |
| Percentiles are rank, not raw performance | Percentile context matters more when the cohort is tightly defined |
| Percentiles are rank, not raw performance | Percentiles work best alongside median and quartile context |
Median explains where the center of the market sits. Quartiles show the range. Percentiles help marketers locate their own position inside that range.
| Point | Detail |
|---|---|
| Median, quartiles, and spread | Median explains where the center of the market sits. Quartiles show the range. Percentiles help marketers locate their own position inside that range. |
Percentiles are useful for explaining market-relative position to leadership because they turn abstract averages into a clearer story about standing and movement.
| Point | Detail |
|---|---|
| How to use percentile framing in reporting | Use percentile to frame relative position |
| How to use percentile framing in reporting | Use median to frame the central benchmark |
| How to use percentile framing in reporting | Use the gap to explain what must improve next |
A plain-English guide to percentiles, quartiles, medians, and ranked benchmark positioning.
Support pages strengthen benchmark credibility and give users a trustworthy explanation of the data model.
These pages should connect core benchmark hubs, definitions, and comparison themes so no important page becomes orphaned.
Use them as rank language: your performance sits above or below a share of comparable campaigns, based on a defined benchmark group.
They work best together because percentile shows position while median shows where the market center actually sits.