Overview: Query Builder
With Query Builder, you can create Custom Metrics for select Data Sources by adding Dimensions, Segments, Filters, and additional Date Ranges.
Some popular use cases for Query Builder include creating Campaign-specific Metrics for Google Ads and Facebook Ads data, accessing more historical data from Google Analytics, and reporting on HubSpot Smart Lists with more granularity.
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How to access Query Builder
Navigate to Data Manager > Query Builder to access Query Builder.
Query Builder is available in Plus and Business Accounts. Agency Basic Accounts have access to Query Builder in the Agency Account only. Request a trial of Query Builder by following
Query Builder is currently available for the following Data Sources:
|Google Analytics||Google Sheets||Google Ads|
|Facebook Ads|| LinkedIn Ads
|| HubSpot Mktg
| HubSpot CRM
How to use Query Builder
The setup of Query Builder differs depending on the Data Source that is selected. Each Query Builder is designed to mirror the terminology and setup of the UI of the Data Source itself as much as possible.
Some key fields to understand in order to become an expert Query Builder user are outlined below.
- Metric: A Metric is a quantitive measurement, meaning there is a value associated with it. Examples of Metrics are "Sessions," "Leads" and "Impressions."
- Dimension: Dimensions allow you to re-categorize the returned Metric values based on a similar attribute. Examples of Dimensions are "Country," "Source" and "Campaign."
Pro Tip: Add the word "by" in between the Metric and Dimension in order to determine an appropriate Custom Metric Name. From the Metric and Dimension examples outlined above, we could create the Custom Metrics "Sessions by Country," "Leads by Source," and "Impressions by Campaign."
- Segment: A Segment is a subset of your data that is configured within the Data Source itself. For example, Google Analytics Users often create Segments to isolate and analyze subsets of data based on specific Metrics or Dimensions.
- Filter: Filters restrict the data that gets included in the Custom Metric. All data that is returned is tested against the Filter. If the data matches the filtered Metric and Dimension specifications, the data is retained and included in the resultant Custom Metric. If the data returned doesn't match the filtered Metric and Dimensions specifications, the data is not included in the resultant Custom Metric.
How to add a Custom Metric to a Databoard