Email Studies

Send studies via email

Email studies can be sent by either:

Using Attributes from your Backend

Attributes that have already been configured and sent to Sprig will appear in the dropdowns as Filters.



Events cannot be used as a filter for email study delivery

Using a CSV

Sprig supports CSV uploads, which you will find under the Connect page. You can either drag and drop or find a file to upload.

For more information on the CSV file format and other requirements, refer to our Upload a CSV File documentation. Once complete, attributes will be available to target in Filters dropdown.

Steps to create an Email Study from a CSV

  1. Upload your CSV This should include one email attribute and a categorical variable (allowing to specify a category to send the study to).
  2. Click the Browser Reload button (this causes the attributes to be loaded into the Sprig UI).
  3. Create your study in the usual way.
  4. When you have completed the questions, click Audience.
  5. Select Email for How to Send.
970340[email protected]Email Campaign 1Canada1
971933[email protected]Email Campaign 1Canada2
251486[email protected]Email Campaign 1United States15
429211[email protected]Email Campaign 2United States20
346380[email protected]Email Campaign 2United States1

Example CSV File

  1. Under Who to send it to, Click Add Filter.
  2. Select the categorical attribute (in the preceding CSV example, it would be list_name) corresponding to the intended email audience.
  3. Select is equal to.
  4. Select the value for the email audience attribute (in the preceding CSV example, it would be Email Campaign 1).
  5. Complete the Email Content to personalize the email and to include an Email Reply Address.
  6. Click Response Options and select One-time send or Ongoing. Optionally, Specify the Total Send Limit and, if Ongoing is selected, the Daily Send Limit**.
  7. Optionally, Click Send Test Email to send a test Study to up to three recipients.
  8. Click Launch Study and Sprig will send your study to all the emails in the grouping you specified.

Example Email Study