CSV Import and Export for Bulk Kitetag Data Edits
Learn how to export Kitetag Group data as CSV, edit tag data in a spreadsheet, and reimport changes. Ideal for bulk updates across dozens or hundreds of tags.
When to use CSV import and export
Editing tag data one at a time works fine for a few tags. When you manage dozens or hundreds of tags in a single Kitetag Group, CSV export and import saves significant time.
Common use cases include:
- Updating contact details for an entire team
- Populating product information across a batch of tags
- Correcting data entry mistakes across multiple tags
- Preparing tags for an event with attendee-specific data
How to export group data as CSV
- Navigate to the Groups section in the dashboard.
- Open the group you want to export.
- Click Export CSV.
- Save the downloaded file to your computer.
The CSV file includes one row per tag and one column per field in the group’s Kitetag Data Structure (KDS). The first row contains the field names (column headers). Each tag’s Callsign appears in the first column so you can identify which row belongs to which tag.
How to edit the CSV file
Open the exported CSV in any spreadsheet app — Google Sheets, Microsoft Excel, Apple Numbers, or a text editor.
- Edit values in any data column. Each row represents one tag.
- Do not change the header row. The column names must match the KDS field names exactly.
- Do not add or remove columns. The import expects the same structure as the export.
- Do not change the Callsign column. This is how the platform matches rows to tags.
How to import updated CSV data
- Navigate to the group in the dashboard.
- Click Import CSV.
- Select your edited CSV file.
- Review the preview to confirm the changes look correct.
- Click Confirm Import.
The platform updates each tag’s data based on its Callsign. Changes take effect immediately — the next time someone taps a tag, it will use the updated data.
Formatting tips for a smooth import
Follow these guidelines to avoid import errors:
| Data type | Format | Example |
|---|---|---|
| Text | Plain text, no special formatting | Jane Smith |
| Integer | Whole numbers, no commas or decimals | 42 |
| Decimal | Use a period as the decimal separator | 19.99 |
| Percent | Number only, no percent sign | 75 |
| Date | YYYY-MM-DD format | 2026-03-27 |
| Valid email address | jane@example.com | |
| Phone | Include country code, use dashes or spaces | +1-555-0123 |
| Website | Full URL with https:// | https://example.com |
Handling import errors
If the import finds validation errors, the platform shows you which rows and fields failed. You do not need to re-export. Just fix the flagged values in your CSV file and import again.
The platform only updates rows that pass validation. If some rows succeed and others fail, the successful rows are applied and you can fix and reimport the remaining ones.
Next steps
- Learn how to define data fields with the data structures guide
- Organize your tags into groups with the Kitetag Groups guide
- Understand tag statuses in managing tags
Last updated 27 Mar 2026, 06:51 +0900 .