A comparison can turn two ordinary totals into a convincing story. Before writing that story, check whether both totals describe the same thing. Differences in dates, definitions, or dataset scope can be more important than the percentage shown beside a metric.
Match the measurement before calculating growth
- Outcome: both periods should count the same type of lead.
- Currency: compare amounts in the same currency; changing a label is not conversion.
- Scope: use equivalent accounts, campaign groups, and row breakdowns.
- Timing: record date ranges, time zones, and export timing.
- Attribution: check that the reporting settings are comparable.
If one period includes website leads and another includes a different enquiry event, label the difference rather than blending them into a single growth claim. Likewise, an incomplete current period should not quietly be compared with a complete previous month.
Keep the percentage formula visible
In a fictional example, leads increase from 250 to 324. The difference is 74 leads; dividing 74 by 250 gives a 29.6% increase. That percentage describes the uploaded datasets. It does not explain why the increase occurred.
For a zero previous value, percentage change is unavailable. If leads move from zero to ten, report “10 leads, compared with zero” instead of inventing an infinite growth percentage.
Unequal periods need additional context
Suppose one upload covers 30 days and another covers 15. Totals alone will not give a fair sense of pace. You may choose to add daily averages, but state how many days each value covers. Daily averages can still hide differences in weekdays, campaign delivery, or when leads were recorded.
ReportMint does not normalize uploaded periods automatically. The comparison label is descriptive, and every uploaded row is included. Prepare comparable exports before using the percentage differences in a client report.
Check spend and lead quality together
A lead increase alongside a larger budget has a different meaning from an increase at the same spend. Blended CPL can help describe the cost relationship, while qualified-lead or sales feedback adds business context. Avoid treating a change in one metric as proof of a better overall outcome.
End with a decision or an open question
Tell the client what changed, which comparisons are fair, and what still needs checking. A useful next step might be reviewing enquiry quality, checking tracking, or agreeing a comparable reporting period. Do not promise that last month’s CPL will remain constant when planning the next budget.
Use the budget planner to explore an assumption. Use measured campaign results to review that assumption. Keep forecasts and observations visibly separate.