The way to get entry to custom dimensions in google analytics

by Amy Parker SEO Executive

Advent to dimensions and metrics

Google analytics shows types of records in its reports. These kinds of statistics are referred to as dimensions and metrics. Digital Marketing Company in Liverpool dimension is a trait of the traffic at the website. Such traits include age, town, gender, key-word, source, browser, working gadget, and devise class. A metric is a number of which measures the characteristics of a dimension. If you take, source, the characteristics would be the variety of sessions, new users, leap charge, new periods, etc. Those are the metrics which you might find a google analytics report.

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Custom dimensions and metrics in google analytics are the same as the default dimensions and metrics in an analytics account. The simplest difference is that you create custom dimensions and metrics your self. Digital Marketing Company in Manchester feature lets you acquire and analyse facts that analytics doesn’t tune automatically. With this feature, you can combine analytics statistics with non-analytics facts. This can be explained higher with the under-noted factors –

-for sport developers, metrics like ‘excessive score’ or ‘undertaking crowning glory’ is probably more applicable than different default settings like ‘display views’. Living proof here is the custom metric, the usage of which you could correctly song your progress against different applicable metrics in a continuing manner and easy-to-study custom reviews.

-you may use custom dimensions as ‘segments’ in widespread reviews.

-area, gender, traffic source, etc. Are a number of the predefined dimensions and jump charge, pageview, and so on. Are some of the predefined metrics.

Variations among dimensions and metrics in google analytics

Difference 1: while dimensions and metrics define the characteristics of your internet site traffic, they vary in the way they are configured, processed, collected, and stated in google analytics. As an instance, you can't use metric as a size and/or vice versa in google analytics via api.

Difference 2: a dimension presents context to a metric in google analytics. Consequently, a standalone metric renders no that means to a file in google analytics. Consequently, the metric session will make feel only while it is used with dimensions like ‘us of a’, ‘consumer type’, etc.

Difference 3: metrics are said below three classes – behaviour metrics, acquisition metrics, and conversion metrics – not like dimensions.

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