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Use a different date field in Google Data Studio

Use Extract Data to select a custom Funnel field as the date dimension in Google Data Studio.

Use Google Data Studio's Extract Data connector to store a subset of your Funnel export and select a custom date field for your report. Extracted data can also make reports load faster than a live data source.

Before you begin

  • You can edit the Google Data Studio report and its data sources.

  • Your Funnel export contains the custom date field that you want to use.

  • The extract will contain less than 100 MB of data.

Understand extracted data

The Extract Data connector stores selected fields from an existing data source in Google Data Studio. You can limit the extract with fields, filters and a date range.

Extracted data has these limitations:

  • An extract can contain up to 100 MB of data. Use a data warehouse if you need more data or more granular data.

  • An extract is not live. You can refresh it daily, weekly or monthly.

  • An extract contains only the fields and date range that you select. Edit the extract when you need to add fields or extend the date range.

You can use live Funnel data sources and extracted data sources in the same report. For example, use Extract Data when your CRM data contains several date fields or when you want to report on a social post's creation date instead of its activity date.

Convert the custom field to a date

  1. Create and connect a Funnel export by following Export Funnel data to Google Data Studio.

  2. Open the Funnel data source in Google Data Studio.

  3. Click Add a field.

  4. Enter a name for the field.

  5. Enter PARSE_DATE('%Y-%m-%d', custom_date) in the formula field. Replace custom_date with your field name.

  6. If your field uses a different date format, select the matching format element.

  7. Save the field.

  8. Close the editor.

Create the extracted data source

  1. Add an Extract Data data source to your Google Data Studio report.

  1. Select the Funnel data source.

  1. Select the dimensions and metrics to include.

  2. Set the date range.

  3. (Optional) Add filters.

  4. Select how often Google Data Studio refreshes the extract.

  5. Click Save and extract.

Select the date field

  1. Open the extracted data source.

  2. Select your custom date field as the Date range dimension.

  3. Save the data source.

What to expect

Your report uses the custom field as its date range dimension. Google Data Studio refreshes the extracted data at the interval that you selected.

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