Data is exported to a separate table each day. Tables are saved with name in the format 'CostData_YYYYMMDD'.
Table schema
Google BigQuery field name | Google BigQuery data type | Description / Google Analytics dimension or metric |
---|---|---|
source |
STRING | Source |
medium |
STRING | Medium |
campaign |
STRING | Campaign |
keyword |
STRING | Keyword |
adContent |
STRING | Ad Content |
date |
STRING | Date |
adCost |
FLOAT | Cost |
impressions |
INTEGER | Impressions |
adClicks |
INTEGER | Clicks |
adAccount |
STRING | Contains info about the source ad account: 1) from the adGroup field when the non-Google costs are uploaded to Google Analytics via OWOX BI;2) from the AdAccount field when the non-Google costs are uploaded to Google BigQuery via OWOX BI. |
adSource |
STRING | Name of ad platform |
campaignId |
STRING | The campaign ID |
campaignName |
STRING | The campaign name |
campaignType |
STRING |
The type of ad campaign the costs were spent on. Thanks to this field, OWOX BI can filter out mobile ad traffic while attributing session cost. The campaign type is identified: 1) for Google Ads costs imported to Google Analytics with the BigQuery Data Transfer Service enabled; The |
adGroup |
STRING | The ad group |
adGroupId |
STRING | The ad group ID |
adGroupName |
STRING | The ad group name |
dataSource |
STRING | Internal technical information |
NoteUnder scheme GA_ONLY, the adSource
, campaignId
, campaignName
, adGroupId
, adGroupName
, and adAccount
fields contain NULL for all the imported ad costs.
If you need these data, opt for scheme GA_NATIVE_PLUS_GBQ of the Google Analytics Cost Data → Google BigQuery pipeline. Read more
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