The name of the exported CSV file has the following format:
<tenant>-<implementation>-<feature>-<version>-<datatype>
For example, given the following:
- Tenant name is Muirton
- Implementation type is HTML
- Feature is called Subscription
- Version is 234
A file containing aggregated data would have the following name:
muirton-html-subscription-234-all-time.csv
A file containing daily data would have the following name:
muirton-html-subscription-234-daily.csv
As you can see from these examples, the <datatype> identifies whether the downloaded data is aggregated or daily.
The columns in the CSV file are as described in the following table:
| Column Heading | Description |
|---|---|
| tab | Identifies the user type canvas that contains the outcome
Can be any of the following:
|
| outcomePath | Identifies the path on the user type canvas that is followed to reach the outcome
For example, the following entry shows a path in a subrule where the user encounters an output named Payment after selecting button 3: SubruleNode,InputNode,DecisionPoint,DecisionPoint,DecisionPoint,SubruleOutputNode: |
| outcomeId | Identifies the outcome to which the data refers by ID
For example, Transformation:Create Account Data Capture Form |
| total | Provides the total number of users that encountered the outcome |
| bucketStart | Only populated if daily data has been exported
If daily data has been exported, identifies the date and time on which the conversion numbers were collected in the format |
| bucketInterval | Only populated if daily data has been exported
If daily data has been exported, identifies the period to which the conversion numbers apply This is always |
| conversion: <type> | Provides the number of end users who converted when they encountered this output
<type> identifies the type of conversion. Some common examples are as follows:
|
For further information on exporting data, see the Export the Data section.
You can import the CSV file to an external tool for further analysis.
For example, you could add a percentage column to the sheet in Google Sheets, or add a Pivot table to present the data. For further information on adding percentages to a Google sheet, refer to the Add formulas and functions topic in the Google Docs Editors Help. For further information on adding a pivot table, refer to the Create and edit pivot tables topic in the Google Workspace Learning Center.