Read a merch campaign as a sequence of separate events: someone sees content, reaches a destination, and may complete an action. A view, a click, an order and a completed account are different measures.
Work through a small campaign example
| Measure | Example | What you can say |
|---|---|---|
| Impressions | 1,000 | The platform reported 1,000 displays, not necessarily 1,000 people. |
| Outbound clicks | 50 | 50 click events were reported by that source. |
| Measured landing sessions | 40 | The site measured 40 sessions under its collection rules. |
| Attributed orders | 3 | The chosen report attributed 3 orders under its defined method. |
| Completed accounts | Separate backend count | Do not substitute signup-button clicks for actual account creation. |
In this example, clicks divided by impressions is 50 ÷ 1,000 = 5%. If all three orders belong to the same measured landing cohort and period, orders divided by sessions is 3 ÷ 40 = 7.5%. If the reports do not share that cohort and attribution definition, label the counts separately instead of presenting a conversion rate.
Do not “correct” the difference between 50 clicks and 40 sessions by inventing ten visitors. Repeated clicks, redirects, consent choices, blockers and collection failures can all affect the relationship. Inspect what the reports define before assigning a cause.
For an athlete account campaign, use confirmed backend account creation as the completion event and keep it distinct from a merchandise purchase. For a sales campaign, distinguish gross order value, refunds and the athlete’s actual earnings under their agreement. A chart is useful only when its labels preserve those differences.
Before you finish
- Match date range, timezone and attribution definition.
- Keep missing attribution visibly unknown.
- Choose one improvement based on the weakest verified step.