Google Analytics

This article describes the main steps required to create the Google Analytics data collector.

Creating a Google Analytics Data Source

  1. In the Navigation Panel, go to Integrations > Catalog.
  2. Use the Search box OR click the Business Packages filter to locate the data source.
  3. Hover over the Google Analytics tile, and click Start.
    Note: If the data source has already been used, a dialog is displayed in which you can select from one of the listed sources. Alternatively, create a new source by clicking Add a new source.
  4. In the displayed dialog, follow the onscreen instructions.

Creating a Google Analytics Stream Query

If you have just created a Google Analytics data source, skip to step 3.

  1. On the Sources page (accessed by clicking Integrations > Sources in the Navigation Panel), choose the Google Analytics source for which you want to create a stream query.  
    Note: The streams associated with that source are displayed. If the streams panel is empty, no stream queries exist for that source.
  2. Hover over the Google Analytics data source, and click + New Stream. The Stream Query page is displayed. 

    Google-Analytics-data-source.png

    Note: The default Stream name includes a timestamp of when the stream was created. You can edit the name.

  3. In the Website Data section, choose:
    i.   An account
    ii.  A property
    iii. A view 

  4. In the Measures & Dimensions section, define the following:

    i. A Template or choose measures and dimensions from scratch. The measures and dimensions are based on the template chosen. Use any template as a starting point and add/remove measures and dimensions according to your preferences for that stream.
    Notes:
    - The Google Analytics Collector supports custom measure and dimensions.
    - A stream query requires a minimum of 1 and a maximum 10 measures, or a minimum of 0 and a maximum of 7 dimensions.

    ii. Choose Segments. The default value is All Users.
    Note: Segments are displayed in the Stream Table in a Segment dimension column and can be fine-tuned the same as any other dimension column.

  5. Click the panel edit icon to display the Measures & Dimensions dialog.

    GA_Measures_and_dimensions.png

  6. To add a measure:
    Click Metrics +, and from the menu displayed, choose a Group and then one of the available measures.
    OR
    Enter part of an existing measure name. The system filters measures with that name.

    EditMetricNew.png

  7. To add a dimension:
    Click Dimensions +, and from the menu displayed, choose a Group and then one of the available. dimensions.
    OR
    Enter parts of an existing dimension name. The system will filter dimensions with that name.

    DimensionsOptionNew1.png

  8. Repeat the above steps to adjust the measures and dimensions of your query.
    Note: To clear a measure or a dimension, click the X next to the measure/dimension.
  9. Click X (in the top right corner of the Measures & Dimensions dialog) to accept the changes and return to the Stream Query window.
  10. To edit the Historical & Live time properties in the query, click the panel edit icon.The Historical & Live time properties dialog is displayed.

    GA_Historical_and_Live_time_properties.png

i. Choose a time scale [1 Hour/ 1 Day].
ii. Choose a historical time span.
Note: The default is Last 3 months/Last day. On an hourly time scale, the maximum span is one month.
iii. Choose a Minimal Delay - Minimum delay 2 hours/ maximum delay 48 hours.
iv. Choose a Maximal Delay - Select Golden data to wait until all the data has been received or a set number of hours up to 48 hours.
Note: For specific requirements, Anodot supports 15 and 30-minute intervals, and 0 minutes delay. However, this short interval can cause some of the templates to malfunction. To activate this option, contact support@anodot.com.

11. Click X to accept the changes and return to the Stream Query window. 

12. Review the Stream Query window to check the chosen stream data.  

13. Click NEXT. The Stream Table is displayed. 


See Also:
Using Data Collectors
Collecting and Streaming Data
Stream Tables
Stream Summaries