Data Explorer FAQs

What can I cut by on Data Explorer? 

  • You can cut by the following attributes on Data Explorer:
    • Targeting: Any attributes that you have targeted your action to, including quota targets! 
    • Demographics: Any of the Suzy platform demographics that you are able to target your mission to
    • Segments and Panels: Any segments or panels that you have access to on your dashboard. 
    • Survey Questions: Questions from your current survey or other surveys you have run, such as screeners! 
    • Auto-Assign: Any auto-assigns, either from your current survey, or previously run surveys.

What can I filter by on Data Explorer? 

  • You can filter by the following on Data Explorer:
    • Completes (Does not apply to standalone actions): Filter your action by respondents who have completed the entire survey
    • Demographics: Filter your action by the Suzy platform demographics
    • Segments/Panels: Filter your action by segment/panel assignment
    • Respondent Filters: Upload any respondent IDs that you would like to filter out 

What are the stat testing confidence levels available on Data Explorer? 

  • 80%, 85%, 90%, and 95% confidence intervals are available on Data Explorer!
  • Please note, you can only select 2 confidence intervals to apply within your Table View. 

How do I decide which confidence intervals to use? 

  • 95% confidence is the industry standard for stat testing, but assessing different levels can give great directional insights when analyzing your results.

What type of stat testing does Data Explorer utilize? 

  • Data Explorer utilizes z-tests and t-tests when stat testing data. The platform defaults to a specific test depending on the stat testing scenario.
  • For more information on stat testing in Data Explorer, check out Suzy Academy!

What is the difference between non-nested and nested banner groups? 

  • Non-nested banner groups show banner groups side by side, like the example below of gender and region banner groups not nested:
  • Nested banner groups show banner groups within each other, essentially allowing banner groups to be cut by each other. See the example of nested gender and region banner groups below!
    • When nesting banner groups, order of nesting matters! Drag and drop your nested banner groups until you are satisfied with the outcome.