Most companies already have a tracking plan in one of their existing tools or manage their tracking plan in an Excel sheet or similar. To get the most out of Iteratively as quickly as possible, it can be helpful to import what you already have into Iteratively so you can use the collaboration and versioning tools when updating and expanding your tracking plan.
Iteratively supports importing CSVs of the following formats:
- Mixpanel Export
- Amplitude Export
- Iteratively Format
- Open the import utility from the account dropdown in the top right corner of the Iteratively application:
- In the Import utility, upload a file one of the supported formats:
- You will be navigated to the branch that your changes have been imported into. From here, you can modify the imported tracking plan before merging it into your existing Iteratively Tracking Plan.
Currently, we support importing up to 500 events. If you have more than 500 events, please contact us at firstname.lastname@example.org and we'll help you get started with Iteratively.
If you don't use Mixpanel or Amplitude to manage your tracking plan, you can format your data into a CSV with the following columns for importing into Iteratively.
You can download a sample Iteratively-format tracking plan CSV from here.
Property Type(can be one of:
Property Required(can be one of:
- To export from Mixpanel, log into your account and navigate to the "Lexicon" as shown:
- On the lexicon page, click "Export" in the top right
Don't see the Export button? Make sure your account's role is either "Project Owner" or "Admin"
- Ensure you select "Events & Properties", before clicking "Send CSV"
Once you receive the CSV file by email, you can upload it following the instructions above to import into Iteratively.
- To export from Amplitude, log in to your account and navigate to the "Govern" tab
- On the Govern page, click the "Download" button in the top right
- Ensure "Schema of all events and their event properties" is selected, and click "Download"
You can now upload the downloaded CSV to iteratively, following the instructions above.