Events (total and average)
also called Total eventsAverage events
Definition
The count of analytics events in the period, and their average per row.
Scope, grain and dimensions
- Grain
- One number per date range, or one row per breakdown value.
- Dimensions
- country · device · page · keyword · source_medium · intent · category
- Required filters
- date_range
- Aggregation
- The total sums the events column across rows; the average takes an unweighted mean of the same column.
- Metric type
- raw measure · events
Data sources
Where you'll see this
Named reports that normally include this metric.
Skills and analyses that use it
Skills carry the judgment; the analysis verbs do the reading.
Analysis verbs
web_analytics_overviewconversions_overviewpop_significance
Method rungs and levers
A rung tells you what a movement here can and cannot explain, read the rungs below it first.
Ask Quattr
- "How many events did we record?" Simulate this →
Caveats, freshness and failure modes
Neither measure carries a definition of what counts as an event; that is set in your analytics property and is not visible here.
The average is unweighted across rows, so it is a per-row mean rather than a per-session or per-user rate.
Whole-domain only today.
- Freshness
- loads nightly, a same-day question gets yesterday's number, labelled as yesterday's.
Common failure modes
- Reading the average as events per session.
- Comparing event counts across properties with different event configurations.
Not the same as
The confusions that cause the most wrong decisions.
Events (total and average) Conversions Compare definitions →
Events are every recorded interaction; conversions are the subset your configuration marks as a goal. Reading an event count as an outcome count overstates results substantially.
Related metrics and workflows
Metrics
Verification
A definition is the smallest part of this.
The measurement matters because something acts on it. Here is the rest of the showcase, in the order most people find useful.