Note: This pipeline is available for the subscription plans Marketing Data, Reports & Attribution, and Enterprise.
1. On the OWOX BI main page, click Create pipeline:
2. As a source, select Yandex.Direct:
3. As a destination, select Google BigQuery:
4. Select or add new access to a Yandex.Direct account from which you want to export ad cost data:
5. Select or add new access to a Google BigQuery account where you want to store the exported data:
6. Select a Google BigQuery project and create a dataset you want to upload your data to (or choose an existing one):
Note: To set up the data collection successfully, your Google account must have "BigQuery Data Editor" and "BigQuery User" roles in the project where you want to collect data to. Without this permission, BigQuery won’t let you upload the data.
7. Specify the date that marks the beginning of the period you want to upload cost data for:
You can schedule the start of the import on a date in the future or select a past date to upload historical data from the Yandex.Direct account.
Also on this step, specify the VAT rate to exclude from the exported costs. You need this to have your Yandex.Direct cost data consistent with the cost data form other services where VAT is being excluded automatically.
8. Click Create pipeline.
Done! The pipeline will be uploading data to a partitioned table in the selected BigQuery dataset. The data will be uploaded daily — for the previous day.
Within a preset actualization period, OWOX BI will update costs that are already uploaded to BigQuery if the data in the Yandex.Direct account would change retrospectively. The update period for historical data is 30 days. This means that 30 days after the import, the data in BigQuery will be totally up-to-date.
The table data schema is in this article.
Note: The Yandex.Direct → Google BigQuery pipeline currently does not process UTM parameters from the links shortened by any link shortener such as Bitly, clck.ru, Tiny URL, or any other.