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Months report

Rows = calendar months in chronological order. Best for trend lines — is the metric climbing or sliding?

A Months report turns the same numbers a Campaigns or Segments report shows into a vertical time series. Each row is a calendar month; columns are your metrics. It's the right view when the question is "is this getting better or worse?"

An open report — KPI cards on top, the type-specific table below — Months reports show one row per calendar month
The report viewer — Months reports list one row per calendar month chronologically.

Building one

  1. Type → Months.
  2. Ad accounts → multi-select. Each row sums across all of them.
  3. Metrics → multi-select.

Months reports are available on every plan.

What the table shows

One row per calendar month that has data for the chosen ad accounts. Rows are sorted chronologically — oldest at the top, newest at the bottom.

Each row's metric values are the totals for that month across every ad account included in the report.

Date range is implicit, not optional

The date-range picker is hidden for Months-type reports — there's no "narrow to a date window" filter. The report shows every month with data automatically. To look at a subset:

  • Edit the report to narrow the ad accounts (months without data on the remaining ad accounts drop out).
  • Mentally — scroll to the relevant rows.

This is by design: a Months report is meant to show the full timeline. If you want a six-month window, a Segments / Campaigns / Ad accounts report with a date range filter does that.

Spotting trends

Common reading patterns:

  • Cost climbing month after month, conversions flat → likely auction inflation; CPA is rising.
  • ROAS dropping over six months → re-examine creative refreshes and audience saturation.
  • Sudden jump in one month → check what changed (new ad account added, big launch, conversion mapping changed?).

Level shows the absolute values per month, not period-over-period deltas. If you need MoM % or YoY % numbers, export the report to Excel and compute them there.

Aggregation for multiple ad accounts

Different ad accounts can be in different currencies. The Months report:

  1. Computes each ad account's monthly total in the ad account's native currency.
  2. Converts to the report's reporting currency at the daily exchange rate (so a single month's cost may include data converted at slightly different rates if exchange rates moved).
  3. Sums across ad accounts for the row total.

For most reporting use cases the daily-rate-vs-monthly-rate distinction doesn't matter — but it's why Level's monthly numbers may not exactly match what a single platform reports if you're comparing currencies.

Best for

  • Trend lines for board / stakeholder reviews.
  • Spotting seasonality — we always dip in August, ship a campaign in early September.
  • Sanity-checking that data is flowing — long sequences of zero rows mean an ad account isn't syncing.

Not ideal for