What is a “metric” in Google Analytics?

A segment of data separated out in a report for comparison.

The dates in your date range.

A dimension that can help you analyze site performance.

**The numbers in a data set often paired with dimensions.**

Explanation:

Metrics are quantitative measurements. The metric Sessions is the total number of sessions. The metric Pages/Session is the average number of pages viewed per session.

Read more here: //support.google.com/analytics/answer/1033861

Every report in Analytics is made up of dimensions and metrics.

Dimensions are attributes of your data. For example, the dimension *City* indicates the city, for example, “Paris” or “New York”, from which a session originates. The dimension *Page* indicates the URL of a page that is viewed.

Metrics are quantitative measurements. The metric *Sessions* is the total number of sessions. The metric *Pages/Session* is the average number of pages viewed per session.

The tables in most Analytics reports organize dimension values into rows, and metrics into columns. For example, this table shows one dimension (*City*) and two metrics (*Sessions* and *Pages/Session*).

## Valid dimension-metric combinations

Not every metric can be combined with every dimension. Each dimension and metric has a scope: user-level, session-level, or hit-level. In most cases, it only makes sense to combine dimensions and metrics that share the same scope. For example, *Sessions* is a session-based metric so it can only be used with session-level dimensions like *Source* or *City*. It would not be logical to combine *Sessions* with a hit-level dimension like *Page*.

For a list of the valid dimension-metric pairs, use the Dimensions and Metrics Reference.

## How metrics are calculated

In Analytics, user metrics are calculated in two basic ways:

**As overview totals**

where the metric is displayed as a summary statistic for your entire site, such as bounce rate or total pageviews.**In association with one or more reporting dimensions**

where the metric value is qualified by selected dimension(s).

The following diagram illustrates these two types of calculations with a simple example. On the left side, user data is calculated as an overview metric, while the same data is calculated via the *New User* dimension on the right side.

## Terms related

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