Google Analytics Connector reference

This reference explains in detail how to configure the Google Analytics Connector.

Configuring data collection from Google Analytics

To configure the Google Analytics Connector, follow these steps:

  1. Select the Workspace you work with in Adverity and then, in the platform navigation menu, click Datastreams.

  1. Select the Google Analytics Datastream.

  1. In the top navigation panel, click Settings.

The Change Datastream Configuration page is split into the following sections:

General Settings

The general settings section allows you to change the Workspace to which the Datastream belongs as well as the Authorization to the data source. The additional setting is as follows:

Use Resource Quotas:

Select this checkbox to increase the number of sessions included in Google Analytics sampling of the data. The number of sessions can only be increased if you are an Analytics 360 customer. For more information on Resource Quotas, see the Google documentation.

Report Configuration

The Report Configuration section includes the following fields:

Report Type

Select the Report Type to define which fields are made available in Dimensions, Metrics, and Meta Fields. Choose one of the following options:

  • Google Analytics - This is the default option that populates Dimensions, Metrics, and Meta Fields. This allows you to create reports similar to the Custom Reports section in Google Analytics. For more information on these Custom Reports, see the Google documentation.

  • Multi Channel Funnel - This option combines Google Analytics Conversion data with additional cookie data. The Multi Channel Funnel option returns data based on a large sample set consisting of many conversion paths. For more information on Multi Channel Funnels and conversion paths, see the Google documentation.

View id

Google Analytics accounts are divided into Properties which are sub-divided into views. You can fetch most of the standard fields. However, the following fields have limitations on what data can be collected:

In Adverity, the View id field contains a list of all the available views associated with the authorized Google Analytics account. You can select more than one view in the View id field.

Fetch all views

(Optional) Select the Fetch all views checkbox to collect data from every field listed in the views. If Fetch all views is selected, the Exclude views field below is also enabled. For more information, see Exclude views field below.

Exclude views

(Optional) Select the views to exclude from the Fetch all views feature. The Exclude views field is only available if Fetch all views is enabled. This option is beneficial if you have many views available and you only want to exclude a few.

Translate goal names

(Optional) Select the Translate goal names checkbox to extract Goals from Google Analytics and convert the data into human-readable names. Goals are set up within a Google Analytics account, for more information, see the Google documentation.

Force daily fetch

(Optional) Select the Force daily fetch checkbox to ensure any multi-day fetches are split into one Data Extract per day. When enabled, the fetch returns complete data sets instead of data samples.

Dimensions and Metrics

Only certain field combinations are allowed. For example, selecting a dimension of User Type does not allow you to select the metric of 1 Day Active Users. The allowed field combinations are determined within Google Analytics. For more information on the allowed field combinations, see the Google documentation.

Meta Fields

Meta fields are Google Analytics metadata fields. Meta fields are not visible in Google Analytics but can be collected using a Datastream.

(Optional) In Meta Fields, select the meta fields to collect metadata from Google Analytics.

Sampling Level

Select how much data is returned in a sample size. Choose one of the following:

  • Select Default to collect a sample of data big enough to ensure analytical accuracy but enough to be returned in an efficient manner.

  • Select Small to collect a small sample of data that is returned quickly.

  • Select Large tocollect a large sample of data that is more accurate compared with the default option but takes longer to collect.


The Filters section includes the following fields:


The Segments field is populated with filters defined by Google Analytics. This list contains default filters (labeled BUILT_IN) and custom filters created in Google Analytics (labeled CUSTOM). For more information on how to create custom segments in Google Analytics, see the Google documentation.

Dynamic segments

Provide a set of filters to apply to the data collection in a code format. For example, to apply filters that find users who used a Chrome browser in at least one of their sessions, enter users::condition::ga:browser==Chrome. For more information on how to code dynamic segments, see the Google documentation.

Filter expression

Provide a filter in the form of a regular expression. This is an alternative filter method to the Segments field described above. For more information on how to filter data using regular expressions, see the Google documentation.

Dimension filter groups

Provide a group of dimension filters in a JSON format. This option is less resource-intensive on API calls compared with the other filters and allows you to use more complex filters. For more information on setting up Dimension filter groups, see the Google documentation.