Using components: Google Analytics Source

Use the Google Analytics source component to read Google Analytics report data.

Connection

Select an existing Google Analytics connection or create a new one.

Source Properties

  • Date range - Select a date range from the dropdown list of ranges. If you select custom date range..., you will be prompted to enter From date and To date. Click on either inputs and select the dates from the calendar. You can also use variables as values for the custom date range in the format yyyy-MM-dd.

    • If custom date range option was selected, Run report day by day checkbox will be displayed. When the checkbox is checked, the report will be executed for each day in the selected date range, in order to minimize data sampling. Make sure to include `ga:date` dimension if checkbox is checked

  • Profile IDs - Leave empty to read data for all accessible Google Analytics profiles or type in the IDs of your Google Analytics profiles (or tables) in the form of ga:xxx. You can enter multiple ids separated by comma or use a variable too. Use the Account Explorer tool to get a list of the profiles you have access to. 
  • Segment (optional) - Select a segment from the dropdown list of segments or write your own.
  • Filters (optional) - Enter a filter to retrieve a subset of the data (e.g. ga:browser=~%5EFirefox).
  • Sort (optional) - Enter the sort order and sort field (e.g. ga:country,ga:browser).
  • Sampling Level - Set the sampling level for the query. See the Google Analytics sampling section for more details.
  • Include empty rows - if unchecked, records where all metric values are zero will be omitted.
  • Source Schema

    Select the metrics (between 1 and 10) and dimensions (between 0 and 7) to use in the source. The source also includes pre-defined fields for the Google Analytics account name, property name, profile name and id.

Creating packages

  1. Creating a new package in New Xplenty
  2. Creating a workflow
  3. Working in the new package designer
  4. Validating a package
  5. Using components: Amazon Redshift Source
  6. Using components: Bing Ads Source
  7. Using components: Database Source
  8. Using components: Facebook Ads Insights Source
  9. Using components: File Storage Source
  10. Using components: Google Adwords source
  11. Using components: Google Analytics Source
  12. Using components: Google BigQuery Source
  13. Using components: Google Cloud Spanner Source
  14. Using components: MongoDB Source
  15. Using components: NetSuite Source
  16. Using components: Salesforce source
  17. Using components: Rest API Source
  18. Using components: Aggregate Transformation
  19. Using components: Assert Transformation
  20. Using components: Clone transformation
  21. Using components: Cross Join Transformation
  22. Using components: Distinct Transformation
  23. Using components: Filter Transformation
  24. Using components: Join Transformation
  25. Using components: Limit Transformation
  26. Using components: Rank Transformation
  27. Using components: Select Transformation
  28. Using components: Sort Transformation
  29. Using components: Union Transformation
  30. Using components: Window Transformation
  31. Using components: Sample Transformation
  32. Using components: Cube transformation
  33. Using components: Amazon Redshift Destination
  34. Using components: Database Destination
  35. Using components: File Storage Destination
  36. Using components: Google BigQuery Destination
  37. Using components: Google Spanner Destination
  38. Using components: MongoDB Destination
  39. Using components: Salesforce Destination
  40. Using components: Snowflake Destination (beta)
  41. Using Components: Rest API Destination
  42. Using and setting variables in your packages
  43. System and pre-defined variables
  44. Using pattern-matching in source component paths
  45. Using ISO 8601 string functions
  46. Using Expressions in Xplenty
  47. Xplenty Functions

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