To build reports in Smart Data, you need your data uploaded to Google BigQuery and a Google account with both the BigQuery Data Editor and BigQuery User access to all these data.
See our guide on how to set up Google BigQuery
The reports can be built upon the data from these source types:
- User behavior data
- Offline transactions from a CRM system
- Ad costs
- Email campaign data
- Google Ads campaign data
- Call tracking data
- Attribution model calculation results
- Custom events data
More detailed information about each data source type and how to upload these data to Google BigQuery can be found below.
User behavior data
You can create the reports based on the website user behavior data that is collected via OWOX BI’s Google Analytics → Google BigQuery pipeline or exported via the BigQuery Export feature for Google Analytics 360.
More user behavior data sources to connect will become available in the upcoming OWOX BI updates.
Ad cost data
Smart Data builds reports based on the ad cost data you upload to BigQuery via the Google Analytics Cost Data → Google BigQuery pipeline.
Email campaign data
Data on your email activities uploaded manually into a Google BigQuery table with this structure.
Add this data and get reports on your email campaigns solely or merge the email data with website user behavior and transaction data and learn how your email activities affected user acquisition and conversion.
Google Ads campaign data
Note:You can connect only the auto-tagged campaigns' data.
Unite Google Ads data with your website user behavior to learn the cost of each user acquired with paid ads and more.
To use Google Ads campaign data in Smart Data reports, you need to:
- Upload it to Google BigQuery via the Data Transfer service. The reports will fetch data from the tables “p_ClickStats_”, “p_AdGroup_”, “p_Campaign_”, “p_Placement_”, and “p_Video_”.
- Connect these data to your Smart Data source set, selecting Google BigQuery project and data set containing the Data Transfer tables.
- You can connect data from several Google Ads accounts or Management Account to one data source set. If the Google BigQuery dataset you are connecting contains data from several Google Ads accounts, you’ll be able to choose which of them you want to connect as sources.
Note:Currently, you can build reports that feature data from only one Google Ads account. The upcoming OWOX BI updates will let you build reports considering all the Ads data you have connected to your Smart Data source set.
Transactions data uploaded from your CRM system to Google BigQuery according to this schema definition. Having them added to a source set, you’ll be able to align users’ actions on your website with the offline purchases you have in your CRM, and build ROPO reports in Smart Data.
Call tracking data
Here, you can connect data about your customer’s call activity collected by one of the call tracking services that have integration with OWOX BI: Ringostat, Calltracking.ru, CoMagic, Mango Office, or Calltouch. To connect a source of this type, you first need to connect data from a call tracking service to your OWOX BI user behavior data pipeline.
Attribution model calculation data
If you have an OWOX BI Attribution model created, you can build reports based on its calculation results. These reports help you reevaluate the performance of your ad campaigns, compare an OWOX BI Attribution model with GA’s Last non-direct click model, and redistribute your ad budget.
Attribution data is added to the source set automatically when you connect a user behavior data source that has an attribution model calculated based on it. If the source has more than one attribution model built based on it, then you'll be able to specify which attribution data you want to use in your Smart Data reports.
Custom events data
Custom events are data about any online and offline events you have uploaded to a Google BigQuery table by yourself. It can be CRM and call-tracking data, data on emails sent, and more.
Read this article to learn how to connect your data to Smart Data.