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Analytics dimensions

Month dimension

Month is the dimension that groups events by calendar month (01–12) in the property time zone. It is the coarse grain for seasonal and budget-cycle reporting. Its main pitfall is that months have different lengths, so raw month-over-month comparisons mix a 28-day February with a 31-day March, which can masquerade as a trend if you do not normalise per day.

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What this means

The month dimension assigns each event its calendar month, computed in the property time zone. It is the natural grain for seasonality, budget periods, and high-level executive summaries where daily detail is noise.

Reports often pair it with year to give a full year-month label.

Unequal-length pitfall

Calendar months span 28 to 31 days, so a raw count comparison between months partly measures how many days each contains. A February-to-March rise can be entirely explained by three extra days. Normalising to a per-day average removes that distortion.

The same caution applies to partial current months, whose totals are incomplete until the month ends.

How it appears in analytics and logs

A month value is the calendar month of an event. A month-over-month change can be an artefact of differing month lengths rather than a real shift.

Diagnostic use case

Use the month dimension for seasonal and budget-cycle reporting, normalising per-day when comparing months of unequal length.

What WebmasterID can help detect

WebmasterID can bucket events by calendar month first-party, supporting seasonal reporting without third-party tracking.

Common mistakes

Privacy and accuracy notes

The month dimension records timing, not identity. WebmasterID aggregates events by month first-party without profiling visitors.

Related pages

Sources and verification notes

Last reviewed 2026-06-24. Facts are checked against primary/official sources where available; uncertain specifics are marked “Data not yet verified” rather than guessed.